JS Kabylie 1–1 JS Saoura: Result & Stats | Ligue 1

JS Kabylie

FT

1 – 1

HT: 1 – 0

JS Saoura

6/11/2024

Ligue 1 · Round 29Stade du 1er Novembre 1954

Match Prediction

Statistical Prediction

Based on goals from last 108+ matches

JS Kabylie48%

×Draw29%

JS Saoura23%

✓ Correct in 50 of 100 matches — 5 more than always backing the home side

Model

50.3%

Always home

44.5%

The model picks a winner (home or away) for each finished match using only pre-kickoff data, then checks it against the real result: 50.3% correct across 582,450 matches, vs 44.5% for always backing the home side.

Home picks 50.5% correct · Away picks 49.5% correct

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

JS KabylieExpected goals in this matchJS Saoura

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.

1.29

0.81

JS Kabylie

1.29

JS Saoura

0.81

JS Kabylie creates 59% more chances

Season form · 122 home / 108 away

1.39

creates per match

0.84

0.79

allows per match

1.19

creates per match

JS Kabylie

1.39

JS Saoura

0.84

allows per match

JS Kabylie

0.79

JS Saoura

1.19

+0.00on par

finishing

+0.00on par

finishing

JS Kabylie+0.00on par

JS Saoura+0.00on par

Total goals

Under65
Over35

Fewer than 3 goals likely

Both teams score

No60
Yes40

One side may not score

Score probability

Probability of each scoreline, %

JS Kabylie ↓

JS Saoura →

0

1

2

3

4

0

0–012%

0–110%

0–24%

0–31%

0–40%

1

1–016%

1–113%

1–25%

1–31%

1–40%

2

2–010%

2–18%

2–23%

2–31%

2–40%

3

3–04%

3–14%

3–21%

3–30%

3–40%

4

4–01%

4–11%

4–20%

4–30%

4–40%

Most likely 1–0 (16%) · grid covers 99% of scorelines

More markets

Total goals

OverUnder0.5

88%12%1.5

62%38%2.5

35%65%3.5

16%84%4.5

6%94%

Double chance

JS Kabylie or draw

77%

JS Kabylie or JS Saoura

71%

Draw or JS Saoura

52%

Winning margin

JS Kabylie wins by 2+

22%

JS Saoura wins by 2+

7%

Team goals

JS Kabylie 1+ goals

72%

JS Kabylie 2+ goals

37%

JS Kabylie 3+ goals

14%

JS Saoura 1+ goals

56%

JS Saoura 2+ goals

19%

JS Saoura 3+ goals

5%

Draw no bet

JS Kabylie (draw refunded)

67%

JS Saoura (draw refunded)

33%

Combos

Both score & 3+ goals

27%

Both score & under 3

13%

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

JS Kabylie at home — creates 1.39, concedes 0.79 · 122 matches

JS Saoura away — creates 0.84, concedes 1.19 · 108 matches

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

2

Expected goals for this match

JS Kabylie attack 1.39 + JS Saoura defence 1.19 → ÷2 → 1.29

JS Saoura attack 0.84 + JS Kabylie defence 0.79 → ÷2 → 0.81

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 48%?"

JS Kabylie scores more

48%

level

29%

JS Saoura scores more

23%

JS Kabylie at 48% 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 48% does not mean "JS Kabylie 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