TACTIX Impact

An honest player rating. Impact is a per-match contribution score built from raw match actions — and unlike most ratings, every weight is published. No black box.

Refreshed from settled matches

ResetCountry and League and Team take multiple picks · Season takes one

Impact leaders — Premier League, 2026/27

Qualifying: 3+ appearances · 9 matches played by the busiest team · league matches onlySmall sample

#PlayerTeamAppsGAImpact
1João PedroChelsea6536.9
2M. BelloumiHull City9326.1
3J. DokuManchester City5116
4E. HaalandManchester City9905.6
5Bukayo SakaArsenal7305.6
6EvanilsonBournemouth9445.4
7M. RogersChelsea9515.4
8J. ManzambiAston Villa6235.3
9C. PalmerChelsea9335
10C. GakpoLiverpool7135
11J. van HeckeTottenham9204.9
12N. JacksonAston Villa8504.9
13J. HendersonChelsea4214.9
14D. GómezBrighton9124.8
15J. TarkowskiEverton9114.7
16K. Dewsbury-HallEverton9214.7
17Lewis HallNewcastle9114.7
18Alex ScottBournemouth5104.7
19Declan RiceArsenal9054.6
20E. AndersonManchester City9014.6
21P. GroßBrighton9344.6
22A. KhalailiCrystal Palace9104.5
23J. GvardiolManchester City9134.5
24Jérémy JacquetLiverpool9004.5
25M. TavernierBournemouth9504.5
26Pedro NetoChelsea9314.5
27R. CherkiManchester City8424.5
28T. BarryEverton9404.4
29V. JaneltBrentford8204.4
30E. Le FéeSunderland9214.3
31J. EncisoIpswich9224.3
32T. MitchellCrystal Palace9204.3
33A. IsakLiverpool8604.3
34Bruno FernandesManchester United8314.3
35N. MukieleSunderland7004.3
36SávioTottenham4004.3
37B. MbeumoManchester United9404.2
38C. KostoulasBrighton9324.2
39J. HillBournemouth9004.2
40M. KudusTottenham8034.2
41Morgan Gibbs-WhiteNottingham Forest8124.2
42I. NdiayeManchester City9034.1
43M. De CuyperBrighton9234.1
44A. SemenyoManchester City7234.1
45W. FofanaChelsea5004.1
46B. KamaraAston Villa9013.9
47Dara O'SheaIpswich9103.9
48J. JustinLeeds9103.9
49J. RudoniCoventry9303.9
50A. KhusanovManchester City6003.9

Impact per Match — Top 10

Top 10 by TACTIX Impact per match — Premier League, 2026/271. João Pedro 6.9; 2. M. Belloumi 6.1; 3. J. Doku 6; 4. E. Haaland 5.6; 5. Bukayo Saka 5.6; 6. Evanilson 5.4; 7. M. Rogers 5.4; 8. J. Manzambi 5.3; 9. C. Palmer 5; 10. C. Gakpo 51. João Pedro6.92. M. Belloumi6.13. J. Doku64. E. Haaland5.65. Bukayo Saka5.66. Evanilson5.47. M. Rogers5.48. J. Manzambi5.39. C. Palmer510. C. Gakpo5

Reading the Leaderboard

Pick a league to see its top players ranked by Impact per match — the average of every match Impact the player has recorded that season. Apps is appearances; G and A are goals and assists, shown for context because they’re the heaviest single weights, but the ranking rewards the full body of work: a defender who tackles, blocks and intercepts all season can out-rank a streaky forward.

Boards are league matches only. A player’s own hub adds up every competition they played that season, so their appearance count and Impact there can be higher — both figures come from the same published formula over different sets of matches.

How Impact Is Calculated

Each match action is worth a fixed number of points. A player’s match Impact is the sum; their season figure is the average per match. The formula is linear and fully reproducible.

The full weight set is also available at /api/impact/weights, and the league and season tree at /api/impact/meta. Built from official match data; not a measure of betting value (see Today’s Value for that).

Why Publish the Weights?

Most player ratings are proprietary: a number appears next to a name and you’re asked to trust it. Impact takes the opposite bet — the formula is linear, every weight is public, and anyone can recompute any score from the same official match data. That makes Impact arguable, which is the point: if you think a tackle is worth more than +0.5, you can say exactly where you disagree and rebuild the table your way from the published weights.

It’s the same philosophy as the prediction side of TACTIX, where every forecast is graded publicly on the model scoreboard: claims you can check beat claims you have to trust.

What Impact Can’t See

Impact is built from on-ball event data, so off-ball value — pressing shape, decoy runs, defensive organisation — is invisible to it. Linear weights also treat every action of a type identically: a 90th-minute winner scores the same +3.5 as a 5–0 consolation. And goalkeepers and outfielders accumulate points differently by role, which is why the leaderboard is best read within a position group. These are deliberate trade-offs for a rating that stays fully transparent and reproducible; treat it as a well-lit lens, not a verdict.

Impact Leaderboards by Country

England

Premier LeagueChampionshipLeague OneLeague TwoFA CupLeague CupWomen's Super LeagueCommunity Shield

Scotland

Premiership

Spain

La LigaSegunda DivisiónCopa del ReySuper Cup

Germany

Bundesliga2. BundesligaDFB PokalSuper Cup

Italy

Serie ASerie BCoppa ItaliaSuper Cup

France

Ligue 1Ligue 2Coupe de FranceTrophée des Champions

Belgium

Jupiler Pro LeagueChallenger Pro League

Netherlands

EredivisieKNVB Beker

Portugal

Primeira LigaTaça de Portugal

Turkey

Süper LigTürkiye KupasıTürkiye Kupası

Japan

J1 League

Mexico

Liga MX

South Korea

K League 1

Australia

A-League Men

Saudi Arabia

Saudi Pro League

USA

NWSLMajor League SoccerLeagues Cup

Ireland

Premier Division

Greece

Super League 1

Ukraine

Premier League

Switzerland

Super League

Austria

Bundesliga

Poland

Ekstraklasa

Croatia

HNL

Sweden

Allsvenskan

Norway

Eliteserien

Argentina

Liga Profesional Argentina

Brazil

Serie ACopa Do Brasil

China

Super League

Denmark

Superliga

Colombia

Primera A

Peru

Liga 1

World

UEFA Champions LeagueUEFA Europa LeagueUEFA Europa Conference LeagueUEFA Super CupFIFA Club World CupCONMEBOL SudamericanaCONMEBOL LibertadoresCONCACAF Champions LeagueAFC Champions League EliteAFC Champions League Two

FIFA

World CupWC Qual — Play-offs

UEFA

Euro ChampionshipNations LeagueWC Qual — EuropeEuro QualificationUEFA Women's Champions League

CAF

AFCONWC Qual — AfricaCAF Champions League

AFC

Asian CupWC Qual — Asia

CONMEBOL

Copa AméricaWC Qual — S. America

International

Friendlies

CONCACAF

WC Qual — CONCACAF

Frequently Asked Questions

What is TACTIX Impact?

Impact is a per-match player contribution score built from raw match actions — goals, assists, tackles, saves, passes and more — each worth a fixed, published number of points. A player’s match Impact is the sum of their actions; the season figure is the average per match. Unlike most player ratings, every weight is public, so any figure can be reproduced by hand from the same match data.

Why is Impact shown per match rather than as a season total?

A per-match average measures how much a player contributes when they actually play, so a consistently excellent player isn’t out-ranked simply because someone else played more minutes. It also makes players comparable mid-season, after injury, or across teams with different fixture counts.

How early in a season does the leaderboard mean anything?

The qualifying threshold moves with the campaign: it is roughly a third of the matches the busiest team has played, capped at ten. Two rounds in, one appearance qualifies and the board is badged as a small sample; by midwinter it takes ten. The threshold in force is printed above every board, so you always know what you are reading.

Can Impact be compared across leagues?

The formula and weights are identical in every competition, so the arithmetic is directly comparable. Context isn’t: leagues differ in tempo, quality and how many high-value actions a match produces. Treat cross-league comparisons as informative rather than definitive — and note that a player’s own hub totals every competition they played, while a league board counts league matches only.

Is Impact a betting signal?

No. Impact measures on-pitch contribution from event data; it says nothing about odds or value. TACTIX’s value analysis lives on the Today’s Value board, which compares the prediction model’s probabilities with market prices. The two are deliberately separate.

Can I access Impact data programmatically?

Yes. The full weight set is published at /api/impact/weights, the board at /api/impact/leaderboard, and the league/season filter tree at /api/impact/meta. See the developer documentation for access details.

What are Impact’s known limitations?

It’s built from on-ball event data, so it can’t see off-ball work — pressing shape, runs that drag defenders, organisation. Linear weights also treat every action of a type equally: a 90th-minute winner counts the same as a consolation goal. Those are deliberate trade-offs for a rating that stays fully transparent and reproducible.

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