90NinetyIQ
Back

Rank 21 · 2026 race

João Neves

Paris Saint Germain · Portugal · Midfielder

Real-data provisional ranking

Every displayed component is computed from current API-Football fixture, event, player-stat, standings, and pre-match Elo evidence. The ranking remains provisional—not illustrative—until the locked 2024–2025 historical holdout gate is complete.

As of 2026-07-19
68.9

#21 in the index

No change since the previous snapshot

Individual36.7 / 55
Decisive17.3 / 25
Team14.9 / 20

Explanation

João Neves ranks #21 on 68.9. Match-swinging contribution is the strongest relative component; Availability & consistency is the clearest constraint. This temporary deterministic explanation will be replaced by the build-time AI Gateway pass.

Why the rank moved

This is the first real-data snapshot, so no ranking movement is claimed.

Jury context

Football case vs. vote environment.

This research layer estimates visibility and recognition around the journalist ballot. It never changes the player’s 100-point football merit score.

Context

0.0 / 10

Vote forecast

Held

context incomplete

Club visibility

0.0 / 2

Club visibility is unavailable and no vote forecast is published; NinetyIQ does not impute popularity.

League visibility

0.0 / 1.5

League visibility is unavailable and no vote forecast is published; NinetyIQ does not impute popularity.

Recognition & aura

0.0 / 2.5

Recognition & aura is unavailable and no vote forecast is published; NinetyIQ does not impute popularity.

Media momentum

0.0 / 4

Media momentum is unavailable and no vote forecast is published; NinetyIQ does not impute popularity.

Preview formula: 92% merit score + 8% jury context. The 8% is a configurable research hypothesis and must survive the historical holdout before NinetyIQ treats this as a validated forecast.

Score waterfall

Base → nine components → 68.9

Each bar adds its published contribution. The final bar must equal the exact sum of the components or the build fails.

Full decomposition

Every point, in one sentence.

100% data coverage

Role output

Role output is the 68th role-cohort percentile from 4 disclosed metric families (100% weight coverage).

How this was calculated

weighted mean of position-specific metric percentiles; ratios use empirical-Bayes shrinkage

Source: API-Football embedded player-fixture statistics

Evidence: 40 observations · 100% coverage

key passes per 90

0.925

assists per 90

0.128

accurate passes per 90

34.738

assists

4

API-Football opaque player ratings are excluded.

Rates and totals are compared only within the same position.

12.3 / 18

Creation & progression

Creation & progression is the 61th role-cohort percentile from 4 disclosed metric families (100% weight coverage).

How this was calculated

weighted mean of position-specific metric percentiles; ratios use empirical-Bayes shrinkage

Source: API-Football embedded player-fixture statistics

Evidence: 40 observations · 100% coverage

key passes per 90

0.925

accurate passes per 90

34.738

assists per 90

0.128

successful dribbles per 90

0.51

API-Football opaque player ratings are excluded.

Rates and totals are compared only within the same position.

7.3 / 12

All-round role contribution

All-round role contribution is the 70th role-cohort percentile from 4 disclosed metric families (100% weight coverage).

How this was calculated

weighted mean of position-specific metric percentiles; ratios use empirical-Bayes shrinkage

Source: API-Football embedded player-fixture statistics

Evidence: 40 observations · 100% coverage

tackles per 90

2.296

interceptions per 90

0.989

duels won per 90

5.549

duel success

0.581

API-Football opaque player ratings are excluded.

Rates and totals are compared only within the same position.

7.0 / 10

Efficiency & execution

Efficiency & execution is the 75th role-cohort percentile from 4 disclosed metric families (100% weight coverage).

How this was calculated

weighted mean of position-specific metric percentiles; ratios use empirical-Bayes shrinkage

Source: API-Football embedded player-fixture statistics

Evidence: 40 observations · 100% coverage

pass completion

0.537

duel success

0.581

dribble success

0.502

shot accuracy

0.427

API-Football opaque player ratings are excluded.

Rates and totals are compared only within the same position.

6.0 / 8

Availability & consistency

Availability combines 2822 minutes (56% of team opportunity), 40 appearances, and 59% above-median performances.

How this was calculated

60% minutes share + 15% appearance share + 10% start share + 15% share of 30+ minute matches at or above the role median

Source: API-Football fixture participation and team schedules

Evidence: 40 observations · 100% coverage

minutes

2822 minutes

minutes share

0.557

appearance share

0.714

consistency share

0.588

Opportunity is the full schedule of every team-competition represented.

4.1 / 7

Strong-opposition performance

Against opponents at or above the 60th pre-match Elo percentile: 19 appearances, 1500 minutes, and 55th role-impact percentile.

How this was calculated

80% minutes-weighted role impact + 20% capped 900-minute volume

Source: API-Football player-fixture statistics plus NinetyIQ leak-free pre-match Elo

Evidence: 19 observations · 100% coverage

strong-opposition matches

19

minutes

1500 minutes

mean role impact

0.549

Opponent strength is frozen before kickoff.

API-Football opaque player ratings are excluded.

5.1 / 8

Knockout & final impact

Knockout credit uses 11 appearances and 975 minutes, weighted from round of 32 through the final.

How this was calculated

75% stage-and-minutes-weighted role impact + 25% capped 540-minute volume

Source: API-Football player-fixture statistics plus NinetyIQ leak-free pre-match Elo

Evidence: 11 observations · 100% coverage

knockout matches

11

minutes

975 minutes

mean role impact

0.54

Opponent strength is frozen before kickoff.

API-Football opaque player ratings are excluded.

6.6 / 10

Match-swinging contribution

Match-state events produce 8.23 leverage units from 12 goals/assists/penalty events; role-specific close-match actions add a 60th-percentile signal.

How this was calculated

65% score-state goal/assist leverage (60% volume, 40% rate) + 35% position-specific close-match action rate

Source: API-Football event timelines and player-fixture statistics

Evidence: 12 observations · 100% coverage

event leverage

8.234

score-changing event actions

12

close-match action percentile

0.597

Equalizers and go-ahead goals receive more credit than score extensions.

API-Football lacks timestamped defensive actions; their close-match rate is a disclosed proxy.

5.6 / 7

Team performance & achievements

Team credit: UEFA Champions League winner (1.16 credit); Ligue 1 winner (0.49 credit); FIFA World Cup round of 16 (0.10 credit). Diminishing-return evidence is 1.49 against the disclosed 2.00 ceiling.

How this was calculated

finish × prestige × route × participation × importance; credits then receive 1.0/0.6/0.3/0.1 diminishing weights

Source: API-Football standings, tournament results, player minutes, role impact, and pre-match Elo

Evidence: 3 observations · 100% coverage

UEFA Champions League

1.164

Ligue 1

0.495

FIFA World Cup

0.104

Evidence is normalized to a 2.00 ceiling.

Team success is not awarded equally to every squad member.

14.9 / 20