Banker as favourites
9/10Arsenal won 9 of 10 as favourites (league 49%).
Premier League Predictions & Stats
Free AI predictions for every upcoming Premier League match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 11 October 2026.
Premier League Predictions by Market
Season 2026/2027 · Round 6 · Regular Season
Full-Time Result
45%
SUCCESS RATE AVG.
Both Teams To Score
62%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
51%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
69%
SUCCESS RATE AVG.
First Half Result
47%
SUCCESS RATE AVG.
Correct Score
14%
SUCCESS RATE AVG.
Premier League 2026/2027 prediction accuracy over the last 100 matches: 1X2 45%, BTTS 62%, Over/Under 2.5 51%, Over/Under 3.5 69%, correct score 14%.
Premier League stats: goals, BTTS, corners and cards vs other leagues
How this competition ranks among the leagues and cups we cover for goals, chances (xG), corners and cards.
How to read it
last 12 months · 366 matchesrank 1 = highest of 63 competitionsGoals a match
2.8
22nd of 63
xG a match
2.79
34th of 62
Corners a match
9.91
22nd of 62
Cards a match
3.92
41st of 63
Calculated by MyGameOdds · xG: our own model
How it works
We use the league's matches from the last 12 months, without qualifying rounds, and rank it against the 63 leagues and club competitions with 50 or more matches in that time (1 = highest). A label marks a league in the top fifth on goals, home or away wins, draws, cards or corners, or in the bottom fifth on goals. xG is our estimate of each match's chances from its shots.
Premier League: the stats that stand out
The Premier League teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 games9/10Goal-fests
9/10Chelsea games went over 2.5 goals in 9 of their last 10 (league 55%).
Fast starters
8/10Manchester City scored first in 8 of 10 recent matches with goal times (league 46%).
Brick wall
5/10Brighton & Hove Albion kept 5 clean sheets in their last 10 (league 25%).
Always chasing
7/10Aston Villa conceded first in 7 of 10 recent matches with goal times (league 46%).
Always on the scoresheet
1/10Liverpool failed to score in only 1 of their last 10 (league 25%).
Calculated by MyGameOdds
How it works
For each stat we show the club that stands out most, one club per stat. A fact needs at least 6 games and a result far enough from the league average to be unusual (at least one standard deviation).
How we measure →For additional context on current-season team tendencies, Footiqo's Premier League BTTS statistics provide free Overall, Home and Away BTTS Yes/No records for every team.
Today's Betting Tips for Premier League England
Free predictions for today's Premier League matches: 1X2, both teams to score, over/under and correct score.
Hull City–
Everton–Winner
X2 72%
BTTS*
No 50%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 56%
Over/Under 3.5 goals
under 67%
Hull City–Everton–Winner
X2 72%
BTTS*
No 50%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 56%
Over/Under 3.5 goals
under 67%
Full Time
128%
X29%
244%
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 39% | 61% | 74% | 26% |
 | 27% | 73% | 61% | 39% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 56% | 44% | 67% | 33% |
Correct Score
1-1
13.2%
0-1
11.8%
0-0
9.7%
1-2
9.0%
1-0
9.0%
0-2
8.1%
2-1
6.5%
Crystal Palace–
Nottingham Forest–Winner
12 74%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Crystal Palace–Nottingham Forest–Winner
12 74%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Liverpool–
Manchester City–Winner
X2 65%
BTTS*
Yes 61%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 52%
Liverpool–Manchester City–Winner
X2 65%
BTTS*
Yes 61%
Correct Score
1-1 10%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 52%
Coventry City–
Newcastle United–Winner
X2 64%
BTTS*
Yes 62%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 52%
Coventry City–Newcastle United–Winner
X2 64%
BTTS*
Yes 62%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 52%
Everton–
Chelsea–Winner
1X 67%
BTTS*
Yes 60%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
Everton–Chelsea–Winner
1X 67%
BTTS*
Yes 60%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
Manchester City–
Ipswich Town–Winner
1 70%
BTTS*
Yes 51%
Correct Score
1-0 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 53%
Manchester City–Ipswich Town–Winner
1 70%
BTTS*
Yes 51%
Correct Score
1-0 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 53%
Fulham–Hull City–Winner
1 52%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
Fulham–Hull City–Winner
1 52%
BTTS*
Yes 59%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 55%
Brentford–Liverpool–Winner
X2 67%
BTTS*
Yes 58%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
Brentford–Liverpool–Winner
X2 67%
BTTS*
Yes 58%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
Newcastle United–
Aston Villa–Winner
12 74%
BTTS*
Yes 59%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
Newcastle United–Aston Villa–Winner
12 74%
BTTS*
Yes 59%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
Leeds United–
Manchester United–Winner
X2 69%
BTTS*
Yes 50%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 55%
Over/Under 3.5 goals
under 66%
Leeds United–Manchester United–Winner
X2 69%
BTTS*
Yes 50%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 55%
Over/Under 3.5 goals
under 66%
Brighton & Hove Albion–Crystal Palace–Winner
1 55%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
Brighton & Hove Albion–Crystal Palace–Winner
1 55%
BTTS*
Yes 55%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 56%
Over/Under 3.5 goals
under 56%
AFC Bournemouth–
Sunderland–Winner
1X 74%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 64%
AFC Bournemouth–Sunderland–Winner
1X 74%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 64%
Nottingham Forest–
Arsenal–Winner
2 54%
BTTS*
No 51%
Correct Score
0-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 64%
Nottingham Forest–Arsenal–Winner
2 54%
BTTS*
No 51%
Correct Score
0-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 64%
Tottenham Hotspur–Coventry City–Winner
1X 73%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
Tottenham Hotspur–Coventry City–Winner
1X 73%
BTTS*
Yes 56%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 55%
Over/Under 3.5 goals
under 58%
Ipswich Town–Nottingham Forest–Winner
12 74%
BTTS*
Yes 53%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Ipswich Town–Nottingham Forest–Winner
12 74%
BTTS*
Yes 53%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Aston Villa–Manchester City–Winner
2 59%
BTTS*
Yes 58%
Correct Score
1-2 11%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 52%
Aston Villa–Manchester City–Winner
2 59%
BTTS*
Yes 58%
Correct Score
1-2 11%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 52%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Premier League xG: chances created and allowed
Every Premier League team's chances created and allowed a game, measured with our own xG.
How to read it
each logo is a team · tap one for detailseach logo is a team · hover one for detailsPremier League average · 1.47 xG, 1.46 xGAlast 10 games eachTap a logo to see the team's numbers
↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
Teams by box· 20
Good attack, good defence
Good attack, weak defence
Weak attack, good defence
Weak attack, weak defence
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →Premier League Results vs the Odds
Season 2026/2027 and the last 30 days
How often each result has happened in Premier League this season (thick bar) and in the last 30 days (thin bar), next to what the bookmakers’ closing odds expected. The last 30 days cover fewer matches, so their normal range is wider and big swings there are still normal. This is not our prediction accuracy.
How to read it
what the closing odds expectednormal range: chance alone lands here 19 times in 20gap to the odds, in percentage pointsgap outside the normal rangethick bar: Season · thin bar: 30 days
Result · happened
◀ fewer −25◀ fewer than expected · −25 pts odds expected+25 more ▶+25 pts · more than expected ▶
Verdict
Home wins
56 matches
37.5%
Season (56) · 37.5% vs 44.3%
Season
−6.8
±12.1
30 days (26) · 34.6% vs 45.5%
30 days
−10.8
±18.0
Draws
56 matches
32.1%
Season (56) · 32.1% vs 23.9%
Season
+8.3
±11.1
30 days (26) · 30.8% vs 24.0%
30 days
+6.8
±16.4
Away wins
56 matches
30.4%
Season (56) · 30.4% vs 31.8%
Season
−1.5
±11.5
30 days (26) · 34.6% vs 30.6%
30 days
+4.0
±16.8
Over 2.5 goals
56 matches
53.6%
Season (56) · 53.6% vs 56.7%
Season
−3.1
±12.9
30 days (26) · 57.7% vs 57.5%
30 days
+0.2
±18.9
Both teams scored
56 matches
53.6%
Season (56) · 53.6% vs 56.2%
Season
−2.6
±12.9
30 days (26) · 53.8% vs 57.5%
30 days
−3.6
±18.9
Show more markets (6)Show fewer markets
Over 3.5 goals
56 matches
33.9%
Season (56) · 33.9% vs 34.6%
Season
−0.7
±12.4
30 days (26) · 34.6% vs 35.4%
30 days
−0.8
±18.3
Home side ahead at half-time
56 matches
28.6%
Season (56) · 28.6% vs 34.4%
Season
−5.8
±12.0
30 days (26) · 23.1% vs 35.3%
30 days
−12.2
±17.9
Level at half-time
56 matches
50.0%
Season (56) · 50.0% vs 39.2%
Season
+10.8
±12.8
30 days (26) · 61.5% vs 39.1%More than expected
30 days
+22.5
±18.7More than expected
Away side ahead at half-time
56 matches
21.4%
Season (56) · 21.4% vs 26.4%
Season
−5.0
±11.2
30 days (26) · 15.4% vs 25.6%
30 days
−10.2
±16.4
Home team scored 2+
56 matches
51.8%
Season (56) · 51.8% vs 47.3%
Season
+4.5
±12.5
30 days (26) · 50.0% vs 49.4%
30 days
+0.6
±18.6
Away team scored 2+
56 matches
37.5%
Season (56) · 37.5% vs 37.7%
Season
−0.2
±12.2
30 days (26) · 38.5% vs 37.4%
30 days
+1.0
±18.0
Shows what happened, not what comes next. Closing odds from one bookmaker per match, bookmaker margin removed. Updated daily.
Show as a tableHide the table
| Result | Period | Matches | Happened | Odds expected | Gap (pts) | Normal range (± pts) | Verdict |
|---|---|---|---|---|---|---|---|
| Home wins | Season | 56 | 37.5% | 44.3% | −6.8 | ±12.1 | Normal range |
| Home wins | 30 days | 26 | 34.6% | 45.5% | −10.8 | ±18.0 | Normal range |
| Draws | Season | 56 | 32.1% | 23.9% | +8.3 | ±11.1 | Normal range |
| Draws | 30 days | 26 | 30.8% | 24.0% | +6.8 | ±16.4 | Normal range |
| Away wins | Season | 56 | 30.4% | 31.8% | −1.5 | ±11.5 | Normal range |
| Away wins | 30 days | 26 | 34.6% | 30.6% | +4.0 | ±16.8 | Normal range |
| Over 2.5 goals | Season | 56 | 53.6% | 56.7% | −3.1 | ±12.9 | Normal range |
| Over 2.5 goals | 30 days | 26 | 57.7% | 57.5% | +0.2 | ±18.9 | Normal range |
| Both teams scored | Season | 56 | 53.6% | 56.2% | −2.6 | ±12.9 | Normal range |
| Both teams scored | 30 days | 26 | 53.8% | 57.5% | −3.6 | ±18.9 | Normal range |
| Over 3.5 goals | Season | 56 | 33.9% | 34.6% | −0.7 | ±12.4 | Normal range |
| Over 3.5 goals | 30 days | 26 | 34.6% | 35.4% | −0.8 | ±18.3 | Normal range |
| Home side ahead at half-time | Season | 56 | 28.6% | 34.4% | −5.8 | ±12.0 | Normal range |
| Home side ahead at half-time | 30 days | 26 | 23.1% | 35.3% | −12.2 | ±17.9 | Normal range |
| Level at half-time | Season | 56 | 50.0% | 39.2% | +10.8 | ±12.8 | Normal range |
| Level at half-time | 30 days | 26 | 61.5% | 39.1% | +22.5 | ±18.7 | More than expected |
| Away side ahead at half-time | Season | 56 | 21.4% | 26.4% | −5.0 | ±11.2 | Normal range |
| Away side ahead at half-time | 30 days | 26 | 15.4% | 25.6% | −10.2 | ±16.4 | Normal range |
| Home team scored 2+ | Season | 56 | 51.8% | 47.3% | +4.5 | ±12.5 | Normal range |
| Home team scored 2+ | 30 days | 26 | 50.0% | 49.4% | +0.6 | ±18.6 | Normal range |
| Away team scored 2+ | Season | 56 | 37.5% | 37.7% | −0.2 | ±12.2 | Normal range |
| Away team scored 2+ | 30 days | 26 | 38.5% | 37.4% | +1.0 | ±18.0 | Normal range |
Premier League luck check: the last 10 games
Premier League teams taking more or fewer points than their chances usually bring, measured with our own xG.
How to read it
what their chances usually bringnormal range (±4)outside it+5.8 = 6 points more than their chances usually bringRiding their luck4
- Arsenal+5.8
Newcastle UnitedClinical · +3 goals+4.8
Leeds United+4.3- Manchester CityClinical · +5 goals+4.0
Unlucky3
FulhamWasteful · −6 goals−6.6
Tottenham HotspurWasteful · −7 goals−5.2
AFC Bournemouth−4.1
Points in line, but wasteful: Coventry City (−4 goals, 5 games). Clinical: Chelsea (+6), Aston Villa (+3).
In line with their chances: Ipswich Town, Hull City, Brentford, Nottingham Forest, Liverpool, Sunderland, Everton, Manchester United, Brighton & Hove Albion and Crystal Palace.
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
How we measure →Premier League last week: smash-and-grab wins and upsets
Smash-and-grab wins (the side with clearly fewer chances won) and upsets (results the closing odds gave under 20%) from the last 7 days.
How to read it
Oct 4–Oct 11 · 6 matches · odds: closing, margin removedNo smash-and-grab wins or upsets in these 6 matches.
Calculated by MyGameOdds · xG: our own model
How it works
Smash-and-grab: the winner had at least 0.8 less xG than the loser (our xG, from shots). Upset: the result the closing odds gave under 20%, with the bookmaker margin removed. Across our leagues about 6% of matches are smash-and-grab wins and about 5% are upsets.
How we measure →Premier League Standings
Check the current league table, team positions, points, and form. Click to view complete standings with detailed statistics.
#TEAM | MP | PTS | W | D | L | G | GD | FORM |
|---|---|---|---|---|---|---|---|---|
1  Manchester City | 5 | 15 | 5 | 0 | 0 | 13:5 | +8 | W W W W W |
2  Arsenal | 6 | 15 | 5 | 0 | 1 | 10:5 | +5 | W L W W W |
3  Brighton & Hove Albion | 6 | 13 | 4 | 1 | 1 | 18:5 | +13 | W W W D L |
4  Brentford | 6 | 10 | 2 | 4 | 0 | 12:6 | +6 | D W D D D |
5  Chelsea | 6 | 10 | 3 | 1 | 2 | 15:13 | +2 | W L D L W |
UEFA Champions League
UEFA Europa League
Relegation
MP=Matches Played
PTS=Points
W=Wins
D=Draws
L=Losses
G=Goals (For:Against)
GD=Goal Difference
FORM=Last 5 Matches
About Premier League
The league profile compares Premier League with the 63 leagues and cups we rank over the last 12 months (rank 1 = highest). The stats that stand out pick the most unusual numbers from each team's last 10 games. The attack vs defence chart puts each team in one of four boxes: top right creates more and allows fewer chances than the league average. The luck check shows who got more or fewer points than their chances in the last 10 games, and Last week lists wins with fewer chances and results the bookmakers gave under 20%.
These statistics represent prediction accuracy based on the last 100 matches in the league. Accuracy reflects how often the model correctly predicted the outcome for each market. Our football predictions are generated using advanced AI techniques combined with historical match data, team form, player availability, tactical trends, and head-to-head records to deliver reliable forecasts. Explore our prediction results tracker for live accuracy across all completed matches, our league accuracy data for competition-level breakdowns, or prediction performance for team-level insights.
The Premier League is the top level of the English football league system, contested by 20 clubs. It operates on a system of promotion and relegation with the English Football League. The Premier League was founded in 1992 and replaced the old First Division. Manchester United has won the most Premier League titles, with 13 championships. The Premier League is the most-watched football league in the world, broadcast in over 200 territories.