Prop Bets vs. Spread Betting: Which Strategy Fits Your Style?
Open any sportsbook’s game page, and two very different kinds of wagers sit side by side. One asks you to judge whether a team will beat a specific margin set by the book. The other asks you to judge whether some specific, often narrower event will happen at all, a player reaching a stat threshold, a team scoring first, or a specific sequence unfolding during the game. Spread betting and prop betting look like variations on the same theme, but they demand genuinely different skills, carry different risk profiles, and reward different kinds of preparation.
Neither format is objectively better than the other. Each is built around a different relationship between the bettor and the information available, and figuring out which one actually fits your strengths, the kind of research you enjoy doing, and the kind of risk you’re comfortable carrying, matters more than chasing whichever format happens to be trending in sports betting content at a given moment.
This guide breaks down how spread betting and prop betting actually work under the hood, what oddsmakers are doing differently when pricing each, the distinct skill sets each format rewards, and a practical framework for figuring out which approach, or what combination of the two, fits your own style of betting.
How Spread Betting Actually Works
A point spread is a margin set by a sportsbook designed to make a matchup between two unevenly matched teams into a roughly even-money proposition from a betting perspective. The favorite is assigned a negative spread, meaning they must win by more than that margin for a spread bet on them to pay out. The underdog is assigned the corresponding positive spread, meaning they cover the bet either by winning outright or by losing by less than that margin.
If a favorite is listed at -6.5, a bet on that team only wins if they win the game by 7 points or more. A bet on the underdog at +6.5 wins if the underdog wins outright, or loses by 6 points or fewer. The half-point built into most spreads exists specifically to eliminate the possibility of a tie, sometimes called a push, where both sides would otherwise get their stake returned.
Why Spreads Move the Way They Do
Point spreads aren’t a pure prediction of the expected margin of victory. They’re a market-clearing mechanism designed to attract roughly equal betting volume on both sides, which is how sportsbooks manage their own risk regardless of which team actually wins.
A spread that opens at -6.5 and moves to -7.5 over the following days usually reflects imbalanced betting action, more money coming in on the favorite, more than it reflects new information about the two teams’ actual relative strength, though the two causes often overlap in practice.
This distinction, between a spread reflecting genuine predicted margin and a spread reflecting betting market balance, is foundational to spread betting as a discipline. A bettor identifying situations where public perception has pushed a spread further than the underlying matchup actually justifies is engaging in exactly the kind of analysis that separates informed spread betting from simply picking the team you expect to win.
How Prop Betting Actually Works
Proposition bets, commonly called props, are wagers on specific outcomes within a game that don’t depend on the final score margin at all. Props range enormously in scope, from broad game-level questions (which team scores first, will the game go to overtime) to narrow player-specific questions (will a specific player record over or under a set number of receiving yards, will a specific pitcher record a certain number of strikeouts).
The Two Broad Categories of Props
Props generally split into two categories that call for meaningfully different approaches.
Game props relate to team-level or overall game outcomes not captured by the standard spread, moneyline, or total. Examples include which team scores first, whether a specific quarter or period will be higher scoring than another, or whether a game reaches overtime. These props often correlate closely with the same factors that drive spread and total analysis, meaning research skills built around spread betting frequently transfer directly to game props.
Player props relate to individual statistical performance, such as a quarterback’s passing yards, a basketball player’s rebound total, or a soccer player recording a shot on target. These props require a different, often more granular kind of research, focused on individual matchup history, usage rates, recent role changes, and specific tendencies that a broader team-level analysis wouldn’t necessarily surface.
How Prop Odds Get Set
Prop lines are typically built around a projected statistical line, often called the “over/under” number for that specific stat, with odds priced close to even money on both sides, though rarely exactly even due to the sportsbook’s built-in margin. Unlike a point spread, which reflects a full game’s competitive balance, a single prop line often reflects a narrower, more specific statistical projection, sometimes generated by a smaller team of oddsmakers or an algorithm with less market correction time than the main game lines receive.
This narrower focus is part of why prop lines, particularly on lower-profile players or less mainstream sports, can carry more pricing inefficiency than a heavily bet main line like a point spread on a marquee matchup. Fewer bettors researching and wagering on a specific player prop means less market pressure correcting any initial mispricing, which cuts both ways: more potential value for a well-researched bettor, and more risk of the book itself having set a line based on limited data.
A Brief History of How Each Format Developed
Point spreads have existed in organized sports betting for close to a century, developed specifically to solve the problem of uneven matchups making straight moneyline betting unattractive on lopsided games. Before spreads became standard, a heavy favorite offered little betting appeal since the outcome felt too predictable to generate meaningful wagering interest on either side.
The spread solved this by converting any matchup, regardless of the two teams’ actual relative strength, into a proposition closer to a coin flip from a betting perspective, which is precisely why spread betting became the dominant format for team sports wagering for decades before prop betting gained comparable prominence.
Prop betting existed in a more limited form for a long time as well, often confined to marquee events like championship games, where a small number of novelty props (which team wins the coin toss, will a specific ceremonial event happen) supplemented the main betting markets as a form of entertainment rather than a serious analytical category. The explosion of prop betting into a major, granular category covering nearly every player in nearly every game is a comparatively recent development, driven substantially by the growth of legal online and mobile sports betting, which made offering and managing a much larger volume of niche markets commercially viable in a way it wasn’t in an earlier era of primarily in-person, more limited betting infrastructure.
This history matters for understanding market maturity. Spread betting on major sports has had decades to develop deep liquidity, sharp market correction, and a large population of experienced bettors pushing lines toward efficiency. Prop betting, especially on individual players in secondary markets, is comparatively young as a mainstream category, which helps explain why pricing inefficiency shows up more frequently in that format even now.
Structural Differences at a Glance
Pulling the core mechanics together into a direct comparison clarifies how differently these two formats actually function, even though both appear on the same sportsbook page under a shared “bet types” menu.
| Factor | Spread Betting | Prop Betting |
| What’s being predicted | Full-game margin relative to a set line | A specific, often narrower event or statistical outcome |
| Primary research focus | Team strength, matchup dynamics, situational factors (rest, travel, injuries) | Individual player usage, role, matchup-specific tendencies, and recent trends |
| Market efficiency | Generally high on major games, heavily bet and closely monitored | Varies widely; can be less efficient on lower-profile props |
| Correlation with final score | Directly tied to the final margin | Often independent of final score, though some props correlate closely with game flow |
| Typical bet volume per event | One or two primary spread bets per game | Can involve dozens of available props per game |
| Variance per single wager | Moderate, tied to a full game’s outcome | Can be higher on narrow player props, subject to game-flow randomness |
This table captures structural tendencies rather than absolute rules, since specific circumstances can shift any of these dimensions on a given night. The pattern holds broadly enough, though, to inform how a bettor should approach research and bankroll allocation differently between the two formats.
The Skill Sets Each Format Actually Rewards
Because spread and prop betting ask fundamentally different questions, they reward different kinds of preparation, and recognizing which kind of research genuinely interests and suits you is a meaningful part of choosing where to focus.
What Spread Betting Rewards
Spread betting rewards a broad, team-level analytical approach. Understanding how two teams match up tactically, how situational factors like rest, travel schedule, and weather affect performance, and how public perception has shaped the current line relative to what the underlying matchup actually suggests, are the core skills that separate informed spread betting from simple team preference.
This format tends to suit bettors who enjoy tracking teams over a season, building a mental or written model of how different situational factors historically affect performance, and who are comfortable with a research process that updates gradually across a week of preparation between games rather than requiring granular, individual-level tracking.
What Prop Betting Rewards
Prop betting, particularly player props, rewards a narrower, more granular analytical approach. Tracking an individual player’s role within their team’s system, how that role has shifted recently, how they’ve performed against similar opposing matchups, and how coaching tendencies or game plans might affect their specific statistical output requires a different kind of attention than team-level spread analysis.
This format tends to suit bettors who enjoy deep individual player research, who follow specific athletes or positions closely enough to notice subtle role or usage changes before they become widely reported, and who are comfortable evaluating a larger volume of smaller, more specific bets rather than concentrating research on one or two primary wagers per game.
Variance and Bankroll Implications
The two formats also differ meaningfully in how variance shows up across a betting portfolio, which has direct implications for bankroll management.
Spread Betting Variance
A single spread bet’s outcome depends on an entire game’s worth of events, meaning it’s influenced by many contributing factors that tend to average out somewhat over the course of 48 or 60 minutes of play. This doesn’t make spread bets low variance in an absolute sense, since a single unlucky bounce or late-game sequence can still flip a covered spread into a loss, but the full-game window does provide more opportunity for a well-supported analytical edge to actually manifest in the final outcome.
Prop Betting Variance
A single player prop, by contrast, often depends on a much narrower slice of game events, sometimes just a handful of specific plays or possessions. A receiver projected for a solid receiving yardage total can fall well short of that number simply because their team fell behind early and abandoned the passing game plan that would have generated those yards, an outcome that has little to do with whether the initial prop research was sound.
This narrower dependency means individual player props often carry higher variance than a comparable spread bet, meaningfully, even when both are priced at similar odds. A bettor building a portfolio heavily weighted toward player props should expect more session-to-session swings than one focused primarily on spread bets, independent of whether the underlying research quality differs between the two approaches.
A Practical Bankroll Framework for Each
A few practical adjustments help account for this variance difference when allocating bankroll between the two formats:
- Sizing individual player prop bets somewhat smaller relative to bankroll than a primary spread bet, given the narrower, higher-variance nature of a single prop outcome
- Diversifying prop bets across multiple players and stat categories within a single event, rather than concentrating a large stake on one specific prop, to smooth out some of the game-flow randomness that can derail an individual prop, regardless of research quality
- Treating spread bets as a smaller number of higher-conviction wagers per week, reflecting the more thorough, full-game research process that supports them
- Tracking spread and prop betting results separately in any personal record-keeping, since the two carry different variance profiles and conflating them can obscure which format is actually performing well or poorly over time
- Avoiding same-game parlays that combine several correlated props with a spread bet purely for a higher payout multiplier, since stacking multiple dependent outcomes into a single wager compounds variance well beyond what any individual bet in the combination would carry on its own, even when each individual leg reflects sound research
How Sportsbooks Price Each Format Differently
Beyond the bettor-facing differences, understanding how sportsbooks build these lines internally helps explain why market efficiency differs so much between a marquee spread and a niche player prop.
Major spreads on heavily bet games benefit from significant market correction. Sharp bettors, syndicates, and high betting volume from the general public all interact with these lines quickly after they’re posted, and sportsbooks adjust in response, generally producing a line that closely reflects a well-calibrated consensus by the time most casual bettors place their wager.
Player props, particularly on secondary players or less prominent games, often don’t receive the same volume or scrutiny. A backup running back’s rushing yards prop or a bench player’s rebound total in a less-watched game might be set by a smaller oddsmaking team working from a narrower statistical model, with far less subsequent market correction from sharp betting activity before the game starts.
| Consideration | Major Spread Lines | Niche Player Props |
| Volume of bets placed | Very high | Often low to moderate |
| Speed of market correction | Fast, often within hours of initial posting | Slower, sometimes minimal, before game time |
| Oddsmaker resources applied | Substantial, closely monitored | Often more automated, less manual review |
| Potential for mispricing | Lower on marquee matchups | Higher, particularly on lower-profile players |
This dynamic is part of why some bettors specifically gravitate toward niche player props as an area of potential edge, reasoning that thinner markets carry more opportunity for a well-researched bettor to identify value the book hasn’t fully corrected for. It’s also why that same thinness carries real risk, since a book’s initial line, even if imperfectly calibrated, isn’t necessarily wrong just because it hasn’t been heavily bet, and confident-sounding research doesn’t automatically outperform a book’s own data and modeling.
Sport-Specific Considerations for Each Format
Both spread and prop betting play out somewhat differently depending on the sport, since the underlying scoring patterns, roster sizes, and statistical categories available vary substantially across football, basketball, baseball, and soccer.
Football
Point spreads in football benefit from extensive statistical modeling around a relatively small number of games per team per season, meaning each individual matchup receives significant analytical attention from oddsmakers and sharp bettors alike. Situational factors like short-week games, weather, and specific matchup advantages between an offensive scheme and an opposing defense carry substantial weight in football spread analysis, more so than in sports with more frequent, less individually scrutinized games.
Football player props benefit from a rich statistical history and clearly defined roles, quarterback passing yards, running back rushing attempts, receiver targets, which make individual projection relatively tractable compared to sports with less positional specialization. Game script matters enormously here: a team’s passing volume can shift dramatically based on whether they’re leading or trailing, which is why prop research in football often needs to account for likely game flow, not just a player’s season-long per-game averages in isolation.
Basketball
Basketball spreads move quickly and frequently, reflecting the sport’s high-scoring environment and the correspondingly larger raw point totals involved in typical margins. Back-to-back games, travel schedules, and specific player rest decisions carry heavy weight in basketball spread analysis, since the sport’s dense schedule creates frequent situational edges that a less attentive bettor might miss.
Basketball player props benefit from a high number of games per season, providing a large sample size for individual statistical projection, but also carry meaningful game-to-game variance tied to matchup pace, foul trouble, and rotation patterns that can shift a specific player’s role night to night. Star player props in particular often see heavy public betting volume, which can push lines away from a purely statistical projection based on popularity and name recognition rather than matchup-specific analysis.
Baseball
Baseball uses a run line rather than a traditional point spread in most cases, typically fixed at 1.5 runs regardless of the specific pitching matchup, with the odds on either side adjusting instead of the line itself moving the way a football or basketball spread would. This structural difference means baseball spread-equivalent betting often comes down more to moneyline evaluation and odds-based value assessment than the margin analysis central to football and basketball spread betting.
Baseball player props lean heavily on pitcher-specific data, particularly strikeout props tied closely to a starting pitcher’s specific repertoire and the opposing lineup’s contact and strikeout tendencies. Batting props are more susceptible to short-term variance given baseball’s inherently high-variance, low-scoring-event nature per individual at-bat, making sample size and matchup-specific platoon splits (how a hitter performs against left-handed versus right-handed pitching) particularly important research inputs.
Soccer
Soccer’s low-scoring nature means spread betting, typically framed as Asian handicap markets rather than a traditional point spread, requires careful attention to fractional and split handicap lines, since a single goal carries proportionally much larger weight than in higher-scoring sports. Draw outcomes add an additional layer of complexity not present in sports without tied results as a standard outcome.
Soccer player props, covering shots on target, tackles, or assists, depend heavily on tactical role and a manager’s specific game plan for a given matchup, more so than raw statistical averages might suggest, since a player’s involvement can shift substantially based on whether their team is expected to control possession or defend a lead.
Live and In-Play Connections to Each Format
Both spread and prop betting extend into live, in-game markets, though the way each format functions once a game is underway differs meaningfully from its pre-game version.
Live spread betting adjusts continuously based on game state, score, time remaining, and situational factors, building on the same core margin-based logic as pre-game spreads but updating in real time as the game unfolds. A bettor skilled at pre-game spread analysis often has a natural foundation for live spread betting, since the underlying skill, judging a team’s likely performance relative to a set margin, carries over directly, just applied to an evolving in-game context rather than a static pre-game one.
Live prop betting introduces additional markets specific to remaining game time, such as a player’s likely final statistical total given their current pace, or narrower next-event props (next team to score, next player to record a specific stat). These live props often carry even less market correction than their pre-game counterparts, since the compressed timeframe for a live market to attract balanced betting volume before an event resolves is far shorter than the days a pre-game prop line has to absorb betting activity.
Correlated Approaches: Combining Spreads and Props Strategically
Beyond simply choosing one format or the other for a given bet, more advanced bettors sometimes look specifically for situations where a spread read and a related prop line reinforce each other, or where one format reveals an edge the other market hasn’t fully captured yet.
A team heavily favored to control the game’s pace and lead comfortably, reflected in a lopsided spread, often correlates with specific player props tied to that expected game script, a leading team’s ball-control running back seeing elevated rushing attempts late, for instance, or a trailing team’s quarterback seeing elevated passing volume as they attempt to close the gap.
Recognizing these correlations means a bettor’s spread research doesn’t exist in isolation from their prop research; the same underlying game-script projection informs both, and inconsistencies between how a spread is priced and how a related prop is priced can sometimes flag one or the other as mispriced relative to the shared underlying projection.
This kind of cross-market thinking requires a solid foundation in both formats to execute well, which is part of why building genuine competence across spread and prop betting, rather than specializing exclusively in one, offers a meaningful long-term advantage for bettors willing to invest the research time required. It’s a more advanced approach, though, and attempting it without first building a solid independent grasp of how each market functions on its own tends to produce confused, poorly grounded bets rather than genuine cross-market insight.
Which Style Fits Your Approach
Rather than treating this as a binary choice between two competing formats, it’s more useful to think through a few honest questions about your own habits, interests, and risk tolerance to figure out where your effort is best spent.
Questions Worth Asking Yourself
A few self-assessment points tend to clarify which format, or what balance between the two, actually fits a given bettor’s style:
- Do you enjoy tracking full team performance trends over a season, or do you find yourself more drawn to following specific individual players closely?
- Are you comfortable with a smaller number of higher-conviction weekly bets, or do you prefer spreading research and stakes across a larger volume of smaller, more specific wagers?
- How much variance can your bankroll and temperament genuinely absorb without the swings affecting your decision-making on subsequent bets?
- Do you have access to or enjoy building specific, granular data sources (usage rates, target share, matchup-specific tendencies) that player prop research typically requires, or is your strength more in broader situational and matchup analysis?
- Are you drawn to markets with less scrutiny and potentially more mispricing, accepting the added research burden that comes with less market correction to lean on, or do you prefer the relative stability of heavily bet, closely monitored major lines?
None of these questions has a universally right answer. A bettor who genuinely enjoys the granular process of tracking individual player trends across a season is likely to produce better prop research and get more genuine enjoyment from the process than one who forces themselves into that format simply because it’s presented as a trendy or high-upside approach in betting content. The same holds in reverse for a bettor whose real strength lies in reading team-level matchups and situational context, who may find prop research feels more like guesswork than genuine analysis, no matter how much time they invest in it.
Combining Both Formats Into a Coherent Approach
Most experienced bettors don’t treat spread betting and prop betting as mutually exclusive categories requiring a permanent choice between them. Instead, many build a combined approach that plays to different strengths depending on the specific matchup and the depth of research available for a given game.
A Practical Combined Framework
A workable combined approach might allocate research and bankroll along these lines:
- Reserve primary bankroll allocation for spread or moneyline bets on games where situational and matchup research produces genuine conviction, treating these as the core of a weekly betting approach
- Layer in a smaller number of player props specifically on games or players where individual research has surfaced a specific edge, such as a role change, injury replacement opportunity, or favorable matchup history not yet reflected in the posted line
- Use game props selectively, when a specific situational factor (weather affecting total scoring pace, a key injury affecting which team is likely to control tempo) suggests a clear edge beyond what the main spread or total already captures
- Avoid betting every available prop on a card simply because it’s offered, since the sheer volume of props available on modern sportsbook menus can create a false sense of obligation to have an opinion on every listed option
- Revisit this allocation periodically as a season progresses, since a bettor’s research depth in a specific sport, league, or player pool tends to deepen over time, which may justify shifting more weight toward prop betting as genuine expertise builds, or pulling back from it if results and closing line value suggest the format isn’t producing the edge initially hoped for
This combined approach treats spread and prop betting as complementary tools rather than competing philosophies, applying each where a bettor’s specific research and interest genuinely support it, rather than committing exclusively to one format out of habit or trend.
Common Mistakes Specific to Each Format
Each betting style carries its own characteristic mistakes, worth naming directly since recognizing them is often the fastest path to avoiding them.
Spread Betting Mistakes
Betting a favorite purely because they’re expected to win the game outright, without separately evaluating whether they’re likely to win by more than the specific spread margin, conflates two different questions that only sometimes point in the same direction. A team can be a clear favorite to win while still being a poor spread bet if the market has already priced in an unrealistically large expected margin, which is exactly the kind of gap a disciplined spread bettor learns to spot rather than simply defaulting to the team they’d pick to win outright.
Ignoring situational factors like short rest, extended travel, or a letdown spot following a significant prior game is a common gap in spread analysis, since these factors often matter more to actual performance than pure team-strength rankings alone would suggest.
Prop Betting Mistakes
Betting a large volume of props on a single card without any differentiated research, treating every available prop as an equally worthwhile wager, dilutes whatever genuine edge exists on the specific props where real research has been done. This pattern often stems from the sheer availability of prop markets, creating a sense that action is expected on most of them.
Overweighting recent performance in isolation, betting a prop primarily because a player had a strong statistical output in their most recent game or two, without accounting for matchup-specific factors or whether that recent performance reflects a sustainable trend or a short-term outlier, is a particularly common trap given how visible and memorable recent results tend to be compared to more thorough underlying trend analysis.
Chasing a specific prop repeatedly across multiple games simply because it feels “close” to hitting each time, rather than reassessing the underlying projection fresh for each new matchup, mirrors the same sunk-cost thinking that undermines disciplined betting in any format. A player prop that narrowly missed its line in the previous three games isn’t more likely to hit in the fourth simply due to that pattern, and treating it that way substitutes recent memory for genuine matchup-specific analysis.
Building a Tracking System That Separates the Two Formats
Because spread and prop betting carry different variance profiles and reward different research skills, tracking results for each separately, rather than lumping all wagers into a single win-loss record, produces far more useful feedback over time.
A workable tracking approach might record, for every bet placed, a handful of consistent fields:
- The bet type (spread, moneyline, total, game prop, player prop) is logged separately, so performance can be filtered and reviewed by category
- The specific reasoning behind the bet at the time it was placed was briefly noted, so a later review can assess whether the process was sound, independent of whether the specific outcome hit
- The closing line compared to the line at the time the bet was placed, a concept sometimes called closing line value, which measures whether a bettor is consistently getting better prices than the market eventually settles on, is a strong indicator of genuine analytical edge, independent of short-term results
- Stake size relative to bankroll, allowing a later review of whether bet sizing was appropriately calibrated to conviction level and format-specific variance
Reviewing this record periodically, monthly or seasonally, depending on betting volume, tends to reveal which format, and which specific sports or bet types within that format, is actually producing sound decisions over a large enough sample to draw meaningful conclusions. Individual sessions or even individual weeks carry too much natural variance in either format to draw firm conclusions from in isolation, which is exactly why a structured, format-separated tracking habit matters more than gut impressions of how a given week felt.
Why Closing Line Value Matters More Than Short-Term Record
Closing line value deserves particular emphasis because it offers a cleaner signal of analytical skill than a short-term win-loss record alone, especially in a high-variance format like player props.
A bettor consistently getting a better number than where the market eventually closes, even across a stretch where individual results happen to run unfavorably, is demonstrating a genuine, repeatable edge in reading the market ahead of its own correction. A bettor with a strong short-term record but consistently poor closing line value, by contrast, may simply be experiencing a favorable variance run that a larger sample would likely correct.
This distinction matters especially for prop betting, where the higher variance per individual wager makes short-term results a particularly unreliable guide to whether the underlying research process is actually sound. Tracking closing line value alongside raw results gives a more honest, faster-arriving signal of whether a given approach, in either format, is genuinely working.
Bringing the Comparison Together
Spread betting and prop betting ask fundamentally different questions of a bettor, one focused on full-game competitive balance relative to a market-set line, the other focused on specific, often narrower statistical or situational outcomes within that game. Neither format is inherently superior, and the research skills that make someone effective at one don’t automatically transfer to the other, even though both appear side by side on the same sportsbook interface.
Figuring out which format, or what combination of the two, genuinely fits your interests, your research habits, and your bankroll’s capacity to absorb the variance each format carries is a more productive question than treating this as a search for the objectively “better” betting strategy.
A bettor who builds real expertise in the specific format that matches their natural research inclinations, whether that’s tracking full-season team trends or following individual player usage closely, tends to produce more consistently informed decisions than one chasing whichever format happens to dominate current betting content, regardless of whether it actually fits how they think about the games they’re watching.
The broader lesson underlying this entire comparison is that the betting format itself is a research and risk-management decision, not a shortcut around the work either approach genuinely requires. Spread betting without situational analysis is just picking a team you like against a number.
Prop betting without genuine individual player research is just guessing at a stat line with extra steps. Whichever format, or combination of formats, ends up fitting your style, the underlying discipline, honest tracking, format-appropriate bankroll sizing, and a research process built around your actual strengths rather than a trend, is what ultimately separates a considered betting approach from one driven by whichever market happened to be in front of you when you opened the app.
A final practical note worth carrying forward: your fit with a given format isn’t necessarily fixed. A bettor who starts out gravitating toward spread betting because it feels more approachable might, over a season of paying closer attention to individual player news and role changes, discover a genuine aptitude and interest in prop research that wasn’t obvious at the outset.
Revisiting the self-assessment questions covered earlier periodically, rather than treating an initial format preference as permanent, keeps the framework responsive to how your own interests and skills actually develop over time, which is ultimately a more useful outcome than locking into either format based on a single early impression.