Stade Gabesien 1–0 Baath Bouhajla: Result & Stats

Stade Gabesien

FT

1 – 0

HT: 0 – 0

Baath Bouhajla

4/13/2025

Ligue 2 · Round 20Stade de Zrig

Match Prediction

Statistical Prediction

Based on goals from last 13+ matches

Stade Gabesien49%

×Draw31%

Baath Bouhajla20%

✓ Correct in 50 of 100 matches — 6 more than always backing the home side

Model

49.7%

Always home

44.3%

The model picks a winner (home or away) for each finished match using only pre-kickoff data, then checks it against the real result: 49.7% correct across 106,786 matches, vs 44.3% for always backing the home side.

Home picks 50.7% correct · Away picks 47.3% correct

Football matches only. Past performance is not indicative of future results.

Stade GabesienExpected goals in this matchBaath Bouhajla

Expected goals in this match

What is xG?

Every shot is scored 0–1 by how likely it is to be a goal from that spot — a chance in the middle of the box ≈ 0.4, a long shot from a tight angle ≈ 0.03, a penalty ≈ 0.76. Add them up over a match and that is the xG.

The scoreline can lie: you can win 1-0 on a fluke while creating half the chances. xG shows who was really closer to scoring — and over a season it predicts results better than goals alone.

1.16

0.62

Stade Gabesien

1.16

Baath Bouhajla

0.62

Stade Gabesien creates 87% more chances

Season form · 60 home / 13 away

1.23

creates per match

0.62

allows per match

1.08

creates per match

Stade Gabesien

1.23

Baath Bouhajla

0.62

allows per match

Stade Gabesien

0.62

Baath Bouhajla

1.08

+0.00on par

finishing

+0.00on par

finishing

Stade Gabesien+0.00on par

Baath Bouhajla+0.00on par

Total goals

Under74
Over26

Fewer than 3 goals likely

Both teams score

No68
Yes32

One side may not score

Score probability

Probability of each scoreline, %

Stade Gabesien ↓

Baath Bouhajla →

0

1

2

3

4

0

0–017%

0–110%

0–23%

0–31%

0–40%

1

1–020%

1–112%

1–24%

1–31%

1–40%

2

2–011%

2–17%

2–22%

2–30%

2–40%

3

3–04%

3–13%

3–21%

3–30%

3–40%

4

4–01%

4–11%

4–20%

4–30%

4–40%

Most likely 1–0 (20%) · grid covers 99% of scorelines

More markets

Total goals

OverUnder0.5

83%17%1.5

53%47%2.5

26%74%3.5

11%89%4.5

3%97%

Double chance

Stade Gabesien or draw

80%

Stade Gabesien or Baath Bouhajla

69%

Draw or Baath Bouhajla

51%

Winning margin

Stade Gabesien wins by 2+

21%

Baath Bouhajla wins by 2+

5%

Team goals

Stade Gabesien 1+ goals

69%

Stade Gabesien 2+ goals

32%

Stade Gabesien 3+ goals

11%

Baath Bouhajla 1+ goals

46%

Baath Bouhajla 2+ goals

13%

Baath Bouhajla 3+ goals

3%

Draw no bet

Stade Gabesien (draw refunded)

71%

Baath Bouhajla (draw refunded)

29%

Combos

Both score & 3+ goals

20%

Both score & under 3

12%

Model probabilities, not odds. For information only.

How is this calculated?

Every number below comes from this match — nothing is made up.

1

Recent form of each side

Stade Gabesien at home — creates 1.23, concedes 0.62 · 60 matches

Baath Bouhajla away — creates 0.62, concedes 1.08 · 13 matches

⚑ Home and away form are counted separately — the home-field edge is already baked into these numbers.

2

Expected goals for this match

Stade Gabesien attack 1.23 + Baath Bouhajla defence 1.08 → ÷2 → 1.16

Baath Bouhajla attack 0.62 + Stade Gabesien defence 0.62 → ÷2 → 0.62

Each side's attack is blended with the other's defence, then averaged.

3

Chance of every scoreline

From those two numbers a Poisson distribution gives the probability of each exact score — the grid shown above.

4

The answer to "why 49%?"

Stade Gabesien scores more

49%

level

31%

Baath Bouhajla scores more

20%

Stade Gabesien at 49% is simply the biggest of the three — that is the pick.

What the model can't see

It reads only the stats of recent matches. It knows nothing about:

injuries & suspensions
the matchday lineup
motivation — cup, relegation, a title race
weather & pitch condition
in-game coaching decisions

So 49% does not mean "Stade Gabesien will win" — it means "on the available stats, this is the most likely result."

Statistical model based on expected goals (xG). For informational purposes only.

Probable lineups not yet announced

Starting lineups are usually confirmed ~1 hour before kickoff