Fixtures, results and PitchNexus predictions in one place.
PitchNexus uses recorded results to estimate three possible outcomes for an upcoming match: a home win, a draw, or an away win. The Match centre also shows experimental possible scorelines when there is enough scoring history. Every percentage is an estimate, not a promise about the result.
Each team's prediction history is built from completed matches within the relevant event or competition listing. Teams are identified by their recorded IDs; similar names are not automatically combined across events or providers. A forecast can therefore use fewer games than the team's combined history elsewhere on the website.
Completed results build the ratings and performance statistics using the available dates. Matches still count when their date or kickoff time is missing, or when multiple games share a recorded time. Those schedule details remain flagged for review. The Match centre's Games used, scoring averages and recent form come from the same saved analysis as the forecast.
Records are shown as Wins – Losses – Draws (W–L–D). A record of 3–1–2 means three wins, one loss and two draws. Points per game uses three points for a win, one for a draw and zero for a loss.
An Elo rating updates after each result, taking the opponent's rating into account. Unexpected wins have more impact than expected wins. Goal margin also affects the update, with a cap to limit the influence of large wins. Points per game, goal difference per game, goals scored and goals conceded add information about overall performance.
The model compares points per game and goal difference from each team's latest five recorded matches within that prediction history, or the available matches when there are fewer than five.
It compares the home team's points per game at home with the away team's points per game away, and includes a modest baseline home advantage. Home and away follow the published schedule, even when the match is at a neutral venue.
When both teams have faced the same opponents, the model compares their average points per game against each shared opponent. This adjustment gets less weight when there are few shared opponents.
Performance adjustments receive less weight when either team has little relevant history. The signals are combined into a difference in estimated team strength. A probability formula converts that difference into home and away chances, with a separate draw estimate that increases when the teams appear evenly matched. The three probabilities add up to 100%, apart from display rounding.
Illustrative example — not a live match
The home team is favored, but the model still assigns a combined 45% chance to a draw or an away win. The highlighted outcome is simply the one with the highest estimated probability. A win probability includes every possible winning score, not one particular scoreline.
These labels describe the predicted gap. They do not tell you how much match history is available.
Relevant home/away history means at least one home game for the home team and one away game for the away team. Counts refer to the history used for this forecast. These match-specific labels differ from the evidence labels on Team Analysis.
The Match centre needs at least three analyzed games for each team and usable scoring and conceding averages to show score estimates. An outcome forecast may still be available when score estimates are unavailable.
The six most likely individual scores are shown with the home score first. “All other scores combined” covers the remaining possibilities. Even the most likely exact score can have a low probability, and it can be a draw while one team is favored overall.
“Both teams score,” “3+ total goals” and each team's clean-sheet chance are calculated from those same score estimates. These scenarios overlap and do not add up to 100%; a 2–1 result satisfies both “Both teams score” and “3+ total goals.”
Score estimates are experimental. They have not been backtested or calibrated as an exact-score model. They do not separately adjust for bracket strength, player availability or match duration.
The research process compares a baseline model with versions that add home/away results, shared opponents, or both. The current production model combines both enhancements.
Historical validation does not use final standings or the finished Team Analysis scores to predict earlier games. Research results are reviewed; rerunning validation does not automatically replace the production model. Historical test performance is not a guaranteed accuracy rate for every age group, competition or future nationwide update.
New forecasts become available after collection, analysis and publication have completed successfully. Starting a collection does not immediately update the website's predictions. Until the refreshed analysis is published, the site continues to use the last published forecast.
The Match centre shows current forecasts for unplayed, scheduled matches. Completed matches and cancelled, postponed or otherwise ineligible fixtures do not show a current forecast there. An archived pre-match forecast is not currently available on completed match pages.
A forecast can also be unavailable while analytics are pending, or when the match and prediction records conflict or no longer agree on the teams or date. Missing data is not treated as a zero-percent chance.
Missing dates, missing kickoff times and overlapping recorded times do not prevent a forecast when the teams and other match information are confirmed. Dates and times are never invented to fill those gaps.
It does not currently use player availability, injuries, starting lineups, training progress or weather. It only knows the match history recorded in the system; missing results and limited history can affect the estimate. Home designation may not reflect a meaningful advantage at a neutral venue.
Teams without recorded results start with neutral rating defaults, so an outcome forecast can still appear with minimal evidence. Evidence strength is not a guarantee of accuracy, and a strong favorite can lose.
Rankings and predictions answer different questions. Rankings compare overall performance within a group. Predictions estimate the outcome of a specific matchup, so a ranking position alone does not determine the favorite.
These are published analysis snapshots, not live in-game forecasts. This explanation was checked against the current outcome engine and Match centre score estimates on October 6, 2026.