- ! Start probabilities are over-generous for 18 team(s) (worst: Norway implies 17.8 starters vs 11). Fringe starters are less nailed than shown — confirm with announced XIs.
Scouting Bonus Console
Ranks low-owned World Cup players by their real routes to the Scouting Bonus — projections from market odds and real player stats, with a live squad optimiser, transfer planner and backtesting.
Highest final expected points among sub-5% players (base points + expected Scouting Bonus − risk). The squad builder assembles these into a valid, optimised 15-man squad.
- MID1.7%Bradley BarcolaFrance v Sweden · Goal threat+1.6014.6
- MID2.8%Rubén VargasSwitzerland v Algeria · Goal threat+1.3910.6
- FWD0.2%Nicolas PépéCôte d'Ivoire v Norway · Goal threat+1.349.4
- FWD2.6%Deniz UndavGermany v Paraguay · Goal threat+1.239.3
- FWD1.4%Breel EmboloSwitzerland v Algeria · Goal threat+1.369.2
- MID0.4%Álex BaenaSpain v Austria · Goal threat+1.239.1
- MID0.5%Malik TillmanUSA v Bosnia and Herzegovina · Goal threat+1.258.6
- MID2.7%Nathan SalibaCanada @ South Africa · Goal threat+1.268.6
model/config/scoring_rules.yaml · v1
- Appearance 60+
- +2
- Assist
- +3
- DEF/GK clean sheet
- +5
- MID goal
- +6
- FWD goal
- +5
- Scouting Bonus
- +2 · <5% · >4pts
Highly owned (≥7%) players the model rates as unlikely starters (under 55% start) — backup keepers, super-subs, rotation risks. Fade the field here: a trap the crowd captains is as valuable to avoid as a differential is to find.
Sub-5% players most likely to post a big score — the upside that can justify a points hit. Sorted by ceiling × haul probability.
Odds blended with each side's actual tournament output. A favourite priced high but producing little is where knockout upsets live — fade heavy stacks there, and trim clean-sheet/captain confidence in likely extra-time games.
- → Japan is out-performing its price (recent output +1.1 SD) — live upset candidate; its defenders are viable differentials.
- → Germany is priced at 70% but its recent output is 1.4 SD below the alive-team average — fade heavy stacks.
- → Paraguay is out-performing its price (recent output +0.9 SD) — live upset candidate; its defenders are viable differentials.
Sustainable = returns keep coming AND the underlying rates support them. One-off = a spike the player's routes can't explain — trap risk if chased.
| Strategy | Shape | Raw XI pts | vs Max | Ceiling | Floor | Avg own | Scout bonus | Captain |
|---|---|---|---|---|---|---|---|---|
| Maximum points | 3-4-3 | 124.5 | — | 227 | 28 | 24.2% | +6.0 | Kylian Mbappé |
| Mini-League Chase | 3-4-3 | 123.2 | −1.3 | 228 | 25 | 21.2% | +6.0 | Kylian Mbappé |
| Balanced | 3-4-3 | 123.4 | −1.1 | 226 | 26 | 19.2% | +8.0 | Kylian Mbappé |
| Scouting Bonus | 3-5-2 | 91.6 | −32.9 | 176 | 11 | 1.7% | +16.8 | Bradley Barcola |
| Wildcard (multi-week) | 3-4-3 | 119.6 | −4.9 | 217 | 27 | 21.1% | +4.9 | Kylian Mbappé |
Scouting Bonus: This squad chases scouting bonus but gives up ~32.9 expected raw points vs Maximum Points. Use only if you are chasing aggressively.
“Raw XI pts” excludes scouting bonus — the honest comparison. “vs Max” is the expectation each strategy sacrifices against pure Maximum Points. Switch strategy live on the Squad page.
Best players to own through the knockouts — GW3 points plus expected points across future rounds, weighted by their team's chance of progressing. Useful when you only have 2 transfers a week.
Data source: real ownership/form; market odds (15/16 fixtures); api-football rates (495 players) · all underlying inputs are illustrative. Run python model/scripts/build_projections.py --matchday 4 to refresh.