Stats, Teams Selection and Match Logs · v1.0
Adding a name that matches an archived player will restore them with their history.
Filter stats by year. Applies to Ratings and Team selection.
Each player's effect on their team's goal difference, adjusted for teammates and opponents. 50 = neutral. Players with 5 or fewer games are hidden.
Form = current form over the last 5 games played: ▲ win · ▼ loss · – draw. Newest on the right (largest).
How is the Impact Rating calculated?
The Impact Rating (IR) answers a harder question than win rate: when this player is on the pitch, does their team outperform what we'd expect given the specific teammates and opponents in that game?
goal difference = white edge + Σ(white impacts) − Σ(color impacts)IR = 50 + 125 × impactBecause goal difference is already what the model explains, win %, GD, and goals are not added on top — that would double-count. Those remain separate descriptive stats on the Leaders tab.
Games played is shown next to each rating: a 65 after 25 games means far more than a 65 after 5. With ~40 games and 48 players this dataset is thin, so ratings stay humble and will sharpen as more games are logged. Players with 5 games or fewer are hidden; selecting only 2026 removes that minimum.
Teams already picked in a chat? Paste the message here (any format: "White", "1. Name", bullets, etc).
Pick exactly 10 players to split into two balanced teams.
Same filter as Ratings and Team selection.
Applies to the goal & win-rate boards below. Everything on Leaders+ always uses all games — a 5-game sample is too thin there.
Context-based stats: duo partnerships, upsets, favourite/underdog roles and weather. These always use all games — the Last 5 form window makes these samples too thin to mean anything. They follow the year filter set on the Leaders tab.
Pairs of players by win % when on the same team. Min 5 games together.
Games won as the underdog (pre-game odds under 45%) — average winning margin in those games. Minimum 2 upset wins. Uses all games, not the form window.
Highest share of games played as favorite (pre-game odds >55%). Min 5 fav+underdog games.
Highest share of games played as underdog (pre-game odds <45%). Min 5 fav+underdog games.
Win % when their team was the underdog. Min 5 underdog games.
Warm days (≥15°C avg). Min 3 warm-weather games.
Cold days (<10°C avg). Min 3 cold-weather games.
An upset is a win where the winning team's pre-game odds were under 45%. The odds use each player's Impact Rating on the day of the game, calculated only from matches played before it, so a game's result never affects its own odds.
Early odds are less reliable. The first 3 games had no history and were set at 50–50, and a new player counts as average until they've played a few games. As more matches are logged, the ratings separate real strength from luck, so recent odds are more trustworthy than early ones.
Ranking by margin shows the most emphatic upsets first.