Football Goal Stat Types Explained
All 16 goal stat types in PakiStats — what each one means, which scores make it land, and how the app uses them for football predictions.
Over / Under Goals
Over/Under stat types are based on the total number of goals scored by both teams combined during the full 90 minutes. They are the most common goal stat types in football statistics.
The match must finish with 2 or more total goals. Lands most frequently of all stat types — only a 0–0 or single-goal result misses it.
Full breakdown & examples →The match must finish with 3 or more total goals. One of the most popular goal stat types — a 2–0 or 1–1 is not enough.
Full breakdown & examples →The match must finish with 4 or more total goals. The highest-threshold Over stat type — a 3–0 or 2–1 scoreline is not enough.
Full breakdown & examples →The match must finish with 0 or 1 total goals. Only goalless draws and single-goal results land this stat type. Any match with 2 or more goals misses it.
Full breakdown & examples →The match must finish with 2 or fewer total goals. A 2–0, 1–1, or 0–0 all land — but 3 goals or more (e.g. 2–1) does not.
Full breakdown & examples →Goal Bands
Goal band stat types target a specific range of total goals. Unlike Over/Under which have an open upper or lower bound, bands have both a floor and a ceiling — so very high-scoring matches can miss just as easily as low-scoring ones.
The total number of goals must be exactly 1, 2, or 3. A 0–0 draw (0 goals) and a 2–2 (4 goals) both miss the band.
Full breakdown & examples →The total must be exactly 2, 3, or 4 goals. A single-goal game misses the floor; a five-goal game misses the ceiling.
Full breakdown & examples →The total must be exactly 3, 4, or 5 goals. Two-goal matches are too few; six or more goals are too many.
Full breakdown & examples →Team Goals
These stat types focus on which teams score rather than just the total goal count — making them distinct from Over/Under stat types even at the same scoreline.
Both the home team and the away team must score at least one goal each. The final result and total goal count are irrelevant.
Full breakdown & examples →At least one team (home or away) must score 2 or more goals in the match. It does not matter which team.
Full breakdown & examples →First Half
First half stat types are settled at half-time — only goals scored in the first 45 minutes (plus injury time) count. Second-half goals have no effect on whether these land.
At least 1 goal must be scored before half time. If the half-time score is 0–0, this stat type does not land — even if both teams go on to score multiple goals in the second half.
Full breakdown & examples →At least 2 goals must be scored before half time. A 1–0 half-time score is not enough. A 1–1 or 2–0 at the break both land this stat type.
Full breakdown & examples →The first half must contain strictly more goals than the second half. A tie (e.g. 1 goal in each half) does not land — it must be more, not equal.
Full breakdown & examples →Second Half
Second half stat types look only at goals scored from the 46th minute onward. The first-half score is irrelevant — only what happens after the break determines whether these land.
At least 1 goal must be scored in the second half. It does not matter how many goals were scored before the break — if there are no goals after half time, this stat type does not land.
Full breakdown & examples →At least 2 goals must be scored after half time. A match can end 4–0 but if only 1 goal came after the break, this stat type does not land.
Full breakdown & examples →The second half must contain strictly more goals than the first half. A tie (equal goals in each half) does not land — the second half must outscore the first.
Full breakdown & examples →How PakiStats Uses These Stat Types
For each upcoming fixture, PakiStats calculates how often each team's recent matches (last 5 or 10 same-league games) hit each of the 16 stat types. The two percentages are blended 50/50 into a combined probability, labelled with a confidence level from Low to Very High. Only fixtures reaching at least 50% combined probability are shown. The highest-probability picks are sorted to the top.
See the full method & confidence levels →These stat types are statistical tools based on historical match data — not guarantees of future outcomes. Use as a reference only. Bet responsibly. See the full FAQ for more.
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