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F1 Fantasy by the Numbers: What 3 Seasons of Data Reveal

10 min read
Value DriversF1 Fantasy StrategyData Analysis
F1 Fantasy by the Numbers: What 3 Seasons of Data Reveal

Most F1 Fantasy advice is vibes. Ours is math. We pulled roughly 1,396 driver-race records across three full seasons (2023โ€“2025), added 2026 in-season data where noted, and ran the numbers on value, overtakes, DNF risk, consistency, ownership, price changes, and track type. The headline findings break the conventional wisdom in two big ways: premium drivers deliver the best value per dollar, not just the most points, and how popular a driver is tells you almost nothing about how many points they'll score. This page is the hub for our entire "by the numbers" research series. Each section gives you the headline stat and links to the full study.

TL;DR: Across 1,396 driver-race records (2023โ€“2025), premium drivers ($18M+) returned 0.99 pts/$M versus 0.71 for budget and a worst-in-class 0.66 for mid-tier. Ownership and points scored correlated at 0.002 โ€” effectively zero. Overtakes and DNF risk quietly decide more leagues than people think.

What does the data say about value?

Premium drivers are the best value in F1 Fantasy, not the worst. The data splits cleanly into three tiers: budget picks under $10M returned 0.71 points per $M, mid-tier ($10โ€“18M) returned 0.66 โ€” the worst of the three โ€” and premium drivers ($18M+) returned 0.99 pts/$M. The expensive end of the grid earns its price tag and then some.

That flips the most common piece of fantasy advice on its head. "Load up on cheap drivers to free budget" assumes budget picks are efficient. They're not the worst, but they're not great either. The real trap is the middle: mid-tier drivers cost real money without the ceiling of a front-runner or the cheap upside of a rookie.

Look at the individual leaders and the pattern holds. Verstappen topped the value table at 1.24 pts/$M (averaging 36.3 points at a $29.4M price), proving a top-priced driver can still be the most efficient pick on the grid. Bearman followed at 1.18 ($8.4M, 9.4 pts), Piastri at 1.15, and Norris at 1.14. At the bottom, Colapinto returned 0.19 and Sargeant 0.21 โ€” cheap, but they barely scored.

Driver Price Avg points Value (pts/$M)
Verstappen $29.4M 36.3 1.24
Bearman $8.4M 9.4 1.18
Piastri โ€” โ€” 1.15
Norris โ€” โ€” 1.14
Colapinto โ€” โ€” 0.19
Sargeant โ€” โ€” 0.21

The full breakdown, including how to build around one or two premiums without breaking the cap, lives in our study Do Cheap Drivers Actually Win F1 Fantasy?. If you want the practical version for the current grid, see the best value drivers for 2026.

Which underrated stats actually move your score?

Overtakes are the most ignored points source in F1 Fantasy. Each pass is worth 1 point, and the drivers who rack them up are mostly cheap midfielders โ€” exactly the budget enablers people pick for price reasons without realizing they come with a hidden scoring floor. Pรฉrez led the sample at 5.35 overtakes per race, Bearman at 5.07, and Magnussen at 5.05.

That's roughly five "free" points a race from a single stat that never makes a highlight reel. Stack two overtake-heavy budget drivers and you're adding ten points a round before grid position, fastest lap, or anything else enters the picture. Over a 24-round season, that compounds into a meaningful gap.

Driver Overtakes per race
Pรฉrez 5.35
Bearman 5.07
Magnussen 5.05

The lesson: when two cheap drivers cost the same, the one who starts further back and races forward is worth more. We break down which drivers bank the most overtake points, and why grid-vs-finish matters more than raw pace, in Overtake Points: The Most Underrated Stat in F1 Fantasy. For the full scoring math behind it, the 2026 scoring rules lay out every points category.

Which drivers quietly cost you points?

A DNF is roughly a 20-point swing against you, and a handful of drivers fail to finish often enough to bleed your score over a season. In our sample, Albon retired in 21.4% of races and Bortoleto in 20.8% โ€” more than one race in five. When a driver you've captained or invested heavily in fails to finish, you don't just miss their points; you lose the multiplier and the opportunity cost of the slot.

The trap with DNF risk is that it's invisible week to week. A driver who scores well in the races he finishes looks fine on a points-per-race chart โ€” until you count the zeros. A 20% DNF rate means one in five rounds is effectively a punt, and if those rounds happen to land on a captain choice, the damage multiplies.

This doesn't mean you avoid every risky driver. It means you price the risk in: don't captain a high-DNF driver, and don't lean on one as your only budget enabler. We quantify the points cost per driver and show when the risk is worth it in DNF Risk: The Hidden Points Drain in F1 Fantasy.

Does qualifying or race pace predict fantasy points?

Race-day results predict fantasy points better than qualifying does, but the relationship is messier than most managers assume. Grid position sets the starting point, but where a driver finishes โ€” and how many places they gain on the way โ€” drives the score. A great qualifier who can't convert on Sunday scores less than a midfielder who carves through the field.

That matters for transfer timing. Picking a driver off the back of a strong Saturday can burn you if their race pace doesn't match. The signal you actually want is consistent race finishing, not one-lap qualifying speed.

We ran the correlations between qualifying position, race position, and total fantasy points to find which one you should actually weight when picking. The full analysis is in Qualifying vs Race Pace: Which Predicts Fantasy Points?.

Who can you trust week to week?

Consistency is measurable, and it favors the premiums. The lower a driver's week-to-week points standard deviation, the more you can trust them in your lineup โ€” especially as a captain. Premium front-runners turn out to be both high-scoring and relatively consistent, which is the rare double that justifies their price.

That's the quiet argument for premiums that the value numbers already hinted at. A cheap driver who scores 25 one week and 2 the next is hard to plan around. A front-runner who reliably banks 30-plus removes variance from your captain slot, which is where consistency pays off most.

Variance is the enemy of a stable rank. If your captain is a coin flip, your season is too. We rank every driver by week-to-week reliability โ€” and flag the cheap picks steady enough to trust โ€” in The Most Consistent F1 Fantasy Drivers.

Does the crowd know best? (Template vs Differential)

The crowd does not predict points. Using 2026 in-season data, the correlation between a driver's ownership percentage and the points they actually scored came out at 0.002 โ€” statistically indistinguishable from zero. Popularity and performance are essentially unrelated, which means following the template offers no scoring edge.

There's a value sweet spot, though, and it isn't where the crowd is. Drivers in the 10โ€“25% ownership band averaged 15.3 points at a value of 1.08 pts/$M โ€” better than the heavily owned chalk and better than the deep differentials almost nobody holds. That band is where smart money sits: owned enough to be proven, rare enough to gain rank when they deliver.

Ownership band Avg points Value (pts/$M)
10โ€“25% (sweet spot) 15.3 1.08

The takeaway: stop copying the most-owned team and start hunting the 10โ€“25% band. We show how to find those picks and when a differential is worth the rank risk in Template vs Differential: What F1 Fantasy Ownership Data Reveals.

Can you predict price changes?

Price changes are only loosely tied to on-track performance, which is why so many managers get them wrong. In 2026 in-season data, the correlation between price change and points scored was just 0.189 โ€” weak. Price tracked ownership demand (correlation 0.206) about as strongly as it tracked performance, meaning a driver can rise in price because people are buying them, not because they scored.

That reframes the whole "buy low, sell high" game. If you're trying to time price rises, you're partly betting on what other managers will do, not just on results. A strong race doesn't guarantee a price bump, and a hyped driver can climb on demand alone.

Price-change driver Correlation
Points scored 0.189
Ownership demand 0.206

So budget growth is real but hard to forecast precisely. We break down the actual drivers of price movement, and a practical method for catching rises early, in How to Predict F1 Fantasy Price Changes. The Budget Boost tool tracks the moves for you.

Does the track type change who to pick?

Track type shifts how many points are on the table. Balanced and permanent circuits produced the most fantasy points โ€” 13.2 per race with 4.38 overtakes โ€” while street circuits produced 11.1 points and just 3.22 overtakes. Permanent tracks with room to race reward overtake-heavy and aggressive drivers; tight street layouts compress the field and cap the upside.

Track type Points per race Overtakes per race
Balanced / permanent 13.2 4.38
Street circuit 11.1 3.22

That's a real swing โ€” roughly two points per driver per race between the two extremes. Over a five-driver lineup, the track type alone can move your weekly total by ten points before you've made a single transfer. It also tells you when to lean into overtake specialists (permanent tracks) versus when to prioritize raw grid position (street circuits, where passing is hard).

We map the calendar to track types and show which driver profiles to favor at each, in Street Circuits vs Power Tracks: How Track Type Changes Your F1 Fantasy Picks.

How to use this research

Put the findings together and a method falls out. Start with value: anchor your team on one or two premiums, because at 0.99 pts/$M they're the most efficient slots on the grid, and skip the mid-tier trap at 0.66. Fill the budget end with overtake specialists who bank cheap points and avoid the highest DNF risks, since a 20% failure rate quietly wrecks captain picks.

Then layer in context. Don't copy the template โ€” ownership and points correlate at 0.002, so the crowd gives you no edge. Hunt the 10โ€“25% ownership band where value peaks at 1.08. Trust consistent front-runners for your captain, and adjust for track type, leaning on overtakers at permanent circuits where 13.2 points and 4.38 passes are on offer.

You don't have to run these numbers by hand. The Apex Team optimizer builds the most efficient lineup under the $100M cap using exactly this kind of value math, and the Statistics tool lets you check any driver's value, overtakes, DNF rate, and consistency before you transfer. The research tells you what matters; the tools tell you who fits it this week.

FAQ

Are premium drivers really better value than cheap ones? Yes. Across 1,396 driver-race records (2023โ€“2025), premium drivers ($18M+) returned 0.99 points per $M, beating budget picks at 0.71 and mid-tier at 0.66. Verstappen topped the table at 1.24 pts/$M. The common advice to load up on cheap drivers ignores that premiums earn their price.

Does a driver's ownership percentage predict their points? No. In 2026 in-season data, the correlation between ownership and points scored was 0.002 โ€” effectively zero. Popularity and performance are unrelated. The value sweet spot sits in the 10โ€“25% ownership band, which averaged 15.3 points at 1.08 pts/$M, not in the most-owned chalk.

How much does a DNF actually cost in F1 Fantasy? A DNF is roughly a 20-point swing against you, and that's before captain multipliers. Drivers like Albon (21.4% DNF rate) and Bortoleto (20.8%) fail to finish more than one race in five, so leaning on them as enablers or captains quietly drains your season total.

Do overtakes matter enough to pick around? More than people think. Each overtake is worth 1 point, and leaders like Pรฉrez (5.35 per race), Bearman (5.07), and Magnussen (5.05) bank roughly five free points a round. When two cheap drivers cost the same, take the one who starts back and races forward.

Can I predict F1 Fantasy price changes from results? Only loosely. Price change correlated with points scored at just 0.189 in 2026 data, and with ownership demand at 0.206 โ€” so prices move on buying activity as much as on performance. A strong race doesn't guarantee a price rise, and a hyped driver can climb on demand alone.

The bottom line

Three seasons and 1,396 driver-race records point to a few hard conclusions. Premiums are the best value on the grid at 0.99 pts/$M, the mid-tier is the real trap at 0.66, and the crowd's favorites tell you nothing โ€” ownership and points correlate at 0.002. The points you're leaving on the table hide in unglamorous stats: overtakes worth five points a race from cheap midfielders, DNF rates above 20% that gut your captain weeks, and track types that swing weekly totals by ten points across a lineup. None of this shows up on a highlight reel, which is exactly why it wins leagues. Use the studies linked above to go deep on any one finding, then let the Apex Team optimizer and Statistics tool turn the data into this week's lineup.

Source: Toolverse analysis of F1 Fantasy data.