Always chasing
7/10Otelul conceded first in 7 of their last 10 (league 46%).
FCSB vs Otelul Prediction, Stats & Betting Tips
Superliga - Season 2026/2027 (Round 11)
Unlucky
FCSB are taking fewer points than their chances usually bring
−6points fewer than their chances usually bring in their last 10
83% of teams this far behind their chances got more points in their next 10 games.
Bookmakers: FCSB 65% to winOtelul 14%
FCSB vs Otelul score prediction
Superliga
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
Goal-fest alert3.0 goals expected
3.0 goals in total: more goals than a typical Superliga game (average 2.5).
goals expected
FCSB2.0Otelul1.0Calculated by MyGameOdds · xG: our own model
How it works
We look at how many chances each team has created and allowed in its recent games in this league, what the bookmakers expected from those games, and the goals actually scored. Then we compare that with how many goals home and away teams usually score here.
Does it work? Since July 2025, our numbers have been 7% closer to the real goals than just using the league average.
Goal-fest alert: we expect at least 2.7 goals, clearly more than usual in this league (8.5% above the average). Since July 2025, these games averaged 3.2 goals, and 62% went over 2.5.
Bore draw alert: we expect 2.3 goals or fewer, clearly less than usual (11% below the average). These games averaged 2.2 goals, and 63% stayed under 2.5.
Bookmakers usually see these coming too, so use the alert to know what kind of game to expect, not as a betting edge.
How we measure →Get our AI football prediction and stats for FCSB vs Otelul: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
FCSB vs Otelul — Our Model vs the Bookmakers
Market check · Superliga
For each market: our model’s probability for this match, the bookmakers’ probability from the current odds (margin removed), whether the two agree, and how often our predictions like this one came true over the last 12 months. When they disagree, the bookmakers’ number has usually been the better guide.
How to read it
our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Agrees with bookmakers
Our model’s pick
FCSB to win
Our model 61%Bookmakers 65%
Our track record
In 1,039 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 66.8% of the time (bookmakers said 66.5%).
Both Teams to Score →Agrees with bookmakers
Our model’s pick
Yes, both score
Our model 56%Bookmakers 52%
Our track record
In 5,508 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 56.9% of the time (bookmakers said 57.7%).
Over/Under 2.5 Goals →Agrees with bookmakers
Our model’s pick
Over 2.5 goals
Our model 59%Bookmakers 57%
Our track record
In 5,161 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 58.7% of the time (bookmakers said 59.1%).
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 65%Bookmakers 66%
Our track record
In 2,290 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 63.2% of the time (bookmakers said 62.9%).
First Half Result →Agrees with bookmakers
Our model’s pick
FCSB ahead at half-time
Our model 43%Bookmakers 48%
Our track record
In 6,516 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 44.8% of the time (bookmakers said 44.2%).
FCSB Goals →Agrees with bookmakers
Our model’s pick
FCSB 2+ goals
Our model 60%Bookmakers 66%
Our track record
In 3,360 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 61.5% of the time (bookmakers said 61.1%).
Otelul Goals →Agrees with bookmakers
Our model’s pick
Otelul 0–1 goals
Our model 77%Bookmakers 77%
Our track record
In 2,544 matches over the last 12 months where our model gave the same pick a 75–80% chance and the bookmakers agreed, it came true 75.2% of the time (bookmakers said 76.5%).
Odds can still move before kick-off. The track record uses closing odds.
FCSB vs Otelul — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for FCSB vs Otelul. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
FCSB–
Otelul–Winner
1 61%
BTTS*
Yes 56%
Correct Score
2-1 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 55%
FCSB–Otelul–Winner
1 61%
BTTS*
Yes 56%
Correct Score
2-1 11%
Over/Under 2.5 goals
over 59%
Over/Under 3.5 goals
under 55%
Full Time
161%
X22%
217%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 19% | 81% | 41% | 59% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 55% | 45% | 78% | 22% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 14% | 86% | 40% | 60% |
| 45% | 55% | 77% | 23% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 68% | 32% | 86% | 14% |
| 93% | 7% | 98% | 2% |
1st Half
143%
X40%
217%
1st Score
164%
X5%
231%
Half Time/Full Time
1-1
36%
X-1
19%
X-X
13%
2-2
9%
X-2
6%
1-X
5%
2-X
5%
2-1
4%
1-2
2%
Correct Score
2-1
11.2%
1-1
10.4%
1-0
9.7%
2-0
9.5%
3-0
6.8%
3-1
6.5%
2-2
5.3%
1-2
5.2%
0-0
5.1%
0-1
4.2%
3-2
3.7%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
FCSB vs Otelul: the stats that stand out
Superliga
Where each side is most unusual compared with the rest of the league: clean sheets, scoring first, wins as favourites and more.
How to read it
the teamleague averageshare of games, 0 to 100%Otelul: always chasing and leaky · FCSB: flop as favourites
7/10Leaky
1/10Otelul kept only 1 clean sheet in their last 10 (league 30%).
Flop as favourites
3/8FCSB won only 3 of 8 as favourites (league 55%).
Calculated by MyGameOdds
How it works
We compare each team's last 10 games in this competition with how often the same thing happens across the whole league (last 12 months). A fact only shows when the team is noticeably different from a typical team. For example, if teams here score first in half their games, a team needs 7 or more out of 10 (or 3 or fewer). We show up to three facts, the most unusual first, never two about the same thing. They describe what happened, not a forecast.
How we measure →FCSB vs Otelul: attack vs defence
Superliga
Both sides' chances created and allowed a game, next to the rest of the league, measured with our own xG.
How to read it
other Superliga teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- FCSB: good attack, good defence (2.00 xG, 1.57 xGA a game)
- Otelul: weak attack, weak defence (1.30 xG, 1.59 xGA)
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 →FCSB vs Otelul form and luck check
Superliga
Whether each side is taking more or fewer points than its chances usually bring.
How to read it
what their chances usually bringoutside the normal range (±4)last 10 Superliga gamesFCSB are taking fewer points than their chances usually bring
- FCSBBookmakers: 65% to win today.Wasteful · −7 goals−5.7
- OtelulBookmakers: 14% to win today.−1.1
Last 5 matches
OtelulL
L
L
D
W
FCSBL
D
L
L
L
W
D
L
Strength rank: FCSB 3rd of 16 · Otelul 11th of 16
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.
Strength rank: we rank this season's 16 teams by how much better their attack is than their defence, using chances (xG), the odds and goals. Does it work? Over the first half of a season, this rank predicted the second half better than the league table did.
How we measure →FCSB vs Otelul: Over 2.5 & BTTS?
Superliga
How often each side's recent league games had over 2.5 goals and both teams scoring.
How to read it
a game where it happenedleague averagelast 10 Superliga gamesBTTS = both teams scoredFCSB and Otelul games both go over 2.5 goals more often than the Superliga average (47%).
Over 2.5 goalsleague 47%
FCSB6 of 10
Otelul5 of 10
BTTSleague 48%
FCSB5 of 10
Otelul6 of 10
Calculated by MyGameOdds
How it works
For each team we take its last 10 games in this competition from the past 12 months (fewer if it hasn't played 10) and count how many went over 2.5 goals and how many had both teams scoring. The league figure uses all 304 games played here in the last 12 months.
How we measure →FCSB vs Otelul corners, cards and goal times
Superliga
Each side's corners and cards a game, and when it scores and concedes, from its recent league games.
How to read it
league averagelast 10 in the league · corners and cards per gameGoal times close to the Superliga average
FCSB
Otelul
6.3
Corners won · league 4.8
4.5
4.8
Corners conceded · league 4.8
4.9
2.3
Cards · league 2.2
2.1
2.2
Opponents' cards · league 2.2
2.7
54%
Goals before half-time · league 44%
36%
23%
Goals after 75' · league 22%
18%
47%
Conceded before half-time · league 44%
40%
24%
Conceded after 75' · league 22%
27%
Calculated by MyGameOdds
How it works
We use each team's last 10 games here. Corners and cards only count games where those stats were recorded, and goal times only count games with reliable goal minutes, so some teams have fewer than 10. We compare with the whole league over the last 12 months.
How we measure →Our prediction record
Our last 5 predictions in each team’s matches, by market.
Full-Time Result
FCSB3/5
Otelul4/5
Both Teams to Score
FCSB3/5
Otelul1/5
Over/Under 2.5 Goals
FCSB4/5
Otelul2/5
Over/Under 3.5 Goals
FCSB2/5
Otelul3/5
First Half Result
FCSB2/5
Otelul2/5
Correct Score
FCSB0/5
Otelul0/5
correct predictionwrong prediction