Hard to break
0/10Universitatea Craiova haven't conceded first in any of 10 recent matches with goal times (league 46%).
Superliga Predictions & Stats
Free AI predictions for every upcoming Superliga match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 11 November 2026.
Superliga Predictions by Market
Season 2026/2027 · Round 15 · Regular Season
Full-Time Result
55%
SUCCESS RATE AVG.
Both Teams To Score
54%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
59%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
68%
SUCCESS RATE AVG.
First Half Result
41%
SUCCESS RATE AVG.
Correct Score
15%
SUCCESS RATE AVG.
Superliga 2026/2027 prediction accuracy over the last 100 matches: 1X2 55%, BTTS 54%, Over/Under 2.5 59%, Over/Under 3.5 68%, correct score 15%.
Superliga 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 · 309 matchesrank 1 = highest of 63 competitionsHome fortress
Goals a match
2.54
50th of 63
xG a match
2.91
21st of 62
Corners a match
Cards a match
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.
Superliga: the stats that stand out
The Superliga teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 games0/10Goal-fests
8/10Voluntari games went over 2.5 goals in 8 of their last 10 (league 46%).
Shot-shy
6/10Argeş failed to score in 6 of their last 10 (league 29%).
Banker as favourites
7/8Rapid Bucuresti won 7 of 8 as favourites (league 57%).
Slow starters
2/10FCSB scored first in only 2 of 10 recent matches with goal times (league 46%).
Brick wall
5/10Universitatea Cluj kept 5 clean sheets in their last 10 (league 29%).
Rarely both score
3/10UTA Arad: both teams scored in only 3 of their last 10 (league 49%).
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 →Today's Betting Tips for Superliga Romania
Free predictions for today's Superliga matches: 1X2, both teams to score, over/under and correct score.
· FT
UTA Arad0
Petrolul 521Winner
1 56%
BTTS*
Yes 55%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 59%
UTA Arad0Petrolul 521Winner
1 56%
BTTS*
Yes 55%
Correct Score
1-0 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 59%
Full Time
156%
X25%
220%
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 17% | 83% | 48% | 52% |
 | 42% | 58% | 76% | 24% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 48% | 52% | 59% | 41% |
Correct Score
1-0
11.8%
1-1
11.7%
2-1
10.6%
2-0
9.2%
0-0
6.4%
· FT
Argeş2
Dinamo Bucureşti1Winner
2 60%
BTTS*
No 53%
Correct Score
0-1 13%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 61%
Argeş2Dinamo Bucureşti1Winner
2 60%
BTTS*
No 53%
Correct Score
0-1 13%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 61%
· FT
Csikszereda0
Universitatea Cluj0Winner
X2 75%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 64%
Csikszereda0Universitatea Cluj0Winner
X2 75%
BTTS*
Yes 52%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 64%
· FT
SSC Farul1
Rapid Bucuresti1Winner
1X 70%
BTTS*
Yes 57%
Correct Score
1-1 13%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
SSC Farul1Rapid Bucuresti1Winner
1X 70%
BTTS*
Yes 57%
Correct Score
1-1 13%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
· FT
FCSB0
Corvinul Hunedoara1Winner
1 60%
BTTS*
Yes 59%
Correct Score
2-1 10%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
FCSB0Corvinul Hunedoara1Winner
1 60%
BTTS*
Yes 59%
Correct Score
2-1 10%
Over/Under 2.5 goals
over 61%
Over/Under 3.5 goals
under 51%
· FT
Sepsi2
Voluntari1Winner
12 73%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Sepsi2Voluntari1Winner
12 73%
BTTS*
Yes 55%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
· FT
CFR Cluj0
Universitatea Craiova0Winner
2 63%
BTTS*
No 50%
Correct Score
0-2 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
CFR Cluj0Universitatea Craiova0Winner
2 63%
BTTS*
No 50%
Correct Score
0-2 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
· FT
Botoşani1
Otelul1Winner
1X 76%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 63%
Botoşani1Otelul1Winner
1X 76%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 50%
Over/Under 3.5 goals
under 63%
Botoşani–Voluntari–Winner
1X 74%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
Botoşani–Voluntari–Winner
1X 74%
BTTS*
Yes 56%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
SSC Farul–Universitatea Cluj–Winner
12 73%
BTTS*
Yes 57%
Correct Score
1-1 13%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
SSC Farul–Universitatea Cluj–Winner
12 73%
BTTS*
Yes 57%
Correct Score
1-1 13%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 61%
Csikszereda–Corvinul Hunedoara–Winner
2 50%
BTTS*
Yes 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
Csikszereda–Corvinul Hunedoara–Winner
2 50%
BTTS*
Yes 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
CFR Cluj–Otelul–Winner
12 73%
BTTS*
Yes 54%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 64%
CFR Cluj–Otelul–Winner
12 73%
BTTS*
Yes 54%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 64%
Dinamo Bucureşti–Petrolul 52–Winner
1 62%
BTTS*
Yes 57%
Correct Score
2-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 56%
Dinamo Bucureşti–Petrolul 52–Winner
1 62%
BTTS*
Yes 57%
Correct Score
2-1 11%
Over/Under 2.5 goals
over 58%
Over/Under 3.5 goals
under 56%
UTA Arad–Universitatea Craiova–Winner
2 50%
BTTS*
Yes 51%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 63%
UTA Arad–Universitatea Craiova–Winner
2 50%
BTTS*
Yes 51%
Correct Score
1-1 12%
Over/Under 2.5 goals
under 52%
Over/Under 3.5 goals
under 63%
Argeş–FCSB–Winner
X2 70%
BTTS*
Yes 51%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
Argeş–FCSB–Winner
X2 70%
BTTS*
Yes 51%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
Sepsi–Rapid Bucuresti–Winner
X2 74%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
Sepsi–Rapid Bucuresti–Winner
X2 74%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 61%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Superliga xG: chances created and allowed
Every Superliga 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 detailsSuperliga average · 1.60 xG, 1.60 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· 16
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 →Superliga Results vs the Odds
Season 2026/2027 and the last 30 days
How often each result has happened in Superliga 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 −20◀ fewer than expected · −20 pts odds expected+20 more ▶+20 pts · more than expected ▶
Verdict
Home wins
120 matches
51.7%
Season (120) · 51.7% vs 43.3%
Season
+8.4
±8.4
30 days (34) · 41.2% vs 43.4%
30 days
−2.2
±15.6
Draws
120 matches
25.8%
Season (120) · 25.8% vs 25.9%
Season
−0.1
±7.8
30 days (34) · 29.4% vs 24.6%
30 days
+4.8
±14.4
Away wins
120 matches
22.5%
Season (120) · 22.5% vs 30.8%Fewer than expected
Season
−8.3
±7.9Fewer than expected
30 days (34) · 29.4% vs 32.0%
30 days
−2.6
±14.7
Over 2.5 goals
120 matches
46.7%
Season (120) · 46.7% vs 49.3%
Season
−2.7
±8.9
30 days (34) · 41.2% vs 51.9%
30 days
−10.7
±16.7
Both teams scored
120 matches
48.3%
Season (120) · 48.3% vs 51.0%
Season
−2.6
±8.9
30 days (34) · 52.9% vs 52.0%
30 days
+0.9
±16.7
Show more markets (6)Show fewer markets
Over 3.5 goals
120 matches
31.7%
Season (120) · 31.7% vs 27.7%
Season
+4.0
±7.9
30 days (34) · 20.6% vs 29.9%
30 days
−9.3
±15.3
Home side ahead at half-time
120 matches
37.5%
Season (120) · 37.5% vs 33.0%
Season
+4.5
±8.2
30 days (34) · 29.4% vs 32.9%
30 days
−3.5
±15.3
Level at half-time
120 matches
40.8%
Season (120) · 40.8% vs 42.2%
Season
−1.3
±8.8
30 days (34) · 41.2% vs 40.9%
30 days
+0.3
±16.5
Away side ahead at half-time
120 matches
21.7%
Season (120) · 21.7% vs 24.8%
Season
−3.2
±7.5
30 days (34) · 29.4% vs 26.2%
30 days
+3.2
±14.3
Home team scored 2+
120 matches
48.3%
Season (120) · 48.3% vs 42.4%
Season
+5.9
±8.5
30 days (34) · 44.1% vs 43.8%
30 days
+0.4
±16.0
Away team scored 2+
120 matches
24.2%
Season (120) · 24.2% vs 32.3%Fewer than expected
Season
−8.1
±8.1Fewer than expected
30 days (34) · 26.5% vs 34.5%
30 days
−8.0
±15.3
Outside the normal range this season: Away wins 22.5% vs 30.8% expected (chance alone: about 1 in 25); Away team scored 2+ 24.2% vs 32.3% expected (chance alone: about 1 in 20).
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 | 120 | 51.7% | 43.3% | +8.4 | ±8.4 | Normal range |
| Home wins | 30 days | 34 | 41.2% | 43.4% | −2.2 | ±15.6 | Normal range |
| Draws | Season | 120 | 25.8% | 25.9% | −0.1 | ±7.8 | Normal range |
| Draws | 30 days | 34 | 29.4% | 24.6% | +4.8 | ±14.4 | Normal range |
| Away wins | Season | 120 | 22.5% | 30.8% | −8.3 | ±7.9 | Fewer than expected |
| Away wins | 30 days | 34 | 29.4% | 32.0% | −2.6 | ±14.7 | Normal range |
| Over 2.5 goals | Season | 120 | 46.7% | 49.3% | −2.7 | ±8.9 | Normal range |
| Over 2.5 goals | 30 days | 34 | 41.2% | 51.9% | −10.7 | ±16.7 | Normal range |
| Both teams scored | Season | 120 | 48.3% | 51.0% | −2.6 | ±8.9 | Normal range |
| Both teams scored | 30 days | 34 | 52.9% | 52.0% | +0.9 | ±16.7 | Normal range |
| Over 3.5 goals | Season | 120 | 31.7% | 27.7% | +4.0 | ±7.9 | Normal range |
| Over 3.5 goals | 30 days | 34 | 20.6% | 29.9% | −9.3 | ±15.3 | Normal range |
| Home side ahead at half-time | Season | 120 | 37.5% | 33.0% | +4.5 | ±8.2 | Normal range |
| Home side ahead at half-time | 30 days | 34 | 29.4% | 32.9% | −3.5 | ±15.3 | Normal range |
| Level at half-time | Season | 120 | 40.8% | 42.2% | −1.3 | ±8.8 | Normal range |
| Level at half-time | 30 days | 34 | 41.2% | 40.9% | +0.3 | ±16.5 | Normal range |
| Away side ahead at half-time | Season | 120 | 21.7% | 24.8% | −3.2 | ±7.5 | Normal range |
| Away side ahead at half-time | 30 days | 34 | 29.4% | 26.2% | +3.2 | ±14.3 | Normal range |
| Home team scored 2+ | Season | 120 | 48.3% | 42.4% | +5.9 | ±8.5 | Normal range |
| Home team scored 2+ | 30 days | 34 | 44.1% | 43.8% | +0.4 | ±16.0 | Normal range |
| Away team scored 2+ | Season | 120 | 24.2% | 32.3% | −8.1 | ±8.1 | Fewer than expected |
| Away team scored 2+ | 30 days | 34 | 26.5% | 34.5% | −8.0 | ±15.3 | Normal range |
Superliga luck check: the last 10 games
Superliga 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+6.5 = 7 points more than their chances usually bringRiding their luck4
- Petrolul 52+6.5
- Rapid Bucuresti+6.0
Sepsi+5.0
SSC FarulClinical · +3 goals+4.3
Unlucky4
- FCSBWasteful · −7 goals−8.2
OtelulWasteful · −3 goals−7.6- ArgeşWasteful · −5 goals−7.4
- VoluntariWasteful · −3 goals−6.3
Points in line, but wasteful: Corvinul Hunedoara (−3 goals). Clinical: Universitatea Cluj (+3).
In line with their chances: CFR Cluj, Universitatea Craiova, Dinamo Bucureşti, UTA Arad, Botoşani and Csikszereda.
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 →Superliga 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
Nov 4–Nov 11 · 8 matches · odds: closing, margin removed- UTA Arad0-1Petrolul 52
Smash-and-grabPetrolul 52 beat UTA Arad 1-0 despite fewer chances (xG 1.1 vs 2.5).
- FCSB0-1
Corvinul HunedoaraSmash-and-grabCorvinul Hunedoara beat FCSB 1-0 despite fewer chances (xG 1.0 vs 2.2).
UpsetBookmakers gave Corvinul Hunedoara 14.4% to win at kick-off.
- Argeş2-1
Dinamo BucureştiSmash-and-grabArgeş beat Dinamo Bucureşti 2-1 despite fewer chances (xG 0.8 vs 1.9).
UpsetBookmakers gave Argeş 18.2% to win at kick-off.
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 →Superliga 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  Dinamo Bucureşti | 15 | 33 | 10 | 3 | 2 | 32:11 | +21 | L W D W W |
2  Universitatea Craiova | 15 | 33 | 10 | 3 | 2 | 34:10 | +24 | D W W W W |
3  Rapid Bucuresti | 15 | 31 | 9 | 4 | 2 | 24:14 | +10 | D W L W W |
4  Petrolul 52 | 15 | 27 | 8 | 3 | 4 | 20:18 | +2 | W D W D L |
5  Universitatea Cluj | 15 | 26 | 8 | 2 | 5 | 26:20 | +6 | D W W D L |
Championship Round
Relegation Round
MP=Matches Played
PTS=Points
W=Wins
D=Draws
L=Losses
G=Goals (For:Against)
GD=Goal Difference
FORM=Last 5 Matches
The league profile compares Superliga 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 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.
About Superliga
Superliga is the top professional football league in Romania. It consists of 16 teams and operates on a system of promotion and relegation. Superliga is known for its competitive matches and passionate fan base. FC Steaua București and FC Dinamo București are the most successful clubs in Superliga history.