Silibwet 2–0 Naivas: Result & Stats | Super League

Silibwet

FT

2 – 0

HT: 2 – 0

Naivas

6/24/2023

Super League · Round 35Silibwet Stadium

Match Prediction

Statistical Prediction

Based on goals from last 52+ matches

Silibwet30%

×Draw28%

Naivas42%

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

Model

50%

Always home

44.6%

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% correct across 579,794 matches, vs 44.6% for always backing the home side.

Home picks 50.2% correct · Away picks 49.2% correct

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

SilibwetExpected goals in this matchNaivas

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.

1.04

1.27

Silibwet

1.04

Naivas

1.27

Naivas creates 22% more chances

Season form · 52 home / 90 away

1.10

creates per match

1.07

1.48

allows per match

0.97

creates per match

Silibwet

1.10

Naivas

1.07

allows per match

Silibwet

1.48

Naivas

0.97

+0.00on par

finishing

+0.00on par

finishing

Silibwet+0.00on par

Naivas+0.00on par

Total goals

Under59
Over41

Fewer than 3 goals likely

Both teams score

No54
Yes46

One side may not score

Score probability

Probability of each scoreline, %

Silibwet ↓

Naivas →

0

1

2

3

4

0

0–010%

0–113%

0–28%

0–33%

0–41%

1

1–010%

1–113%

1–28%

1–34%

1–41%

2

2–05%

2–17%

2–24%

2–32%

2–41%

3

3–02%

3–12%

3–22%

3–31%

3–40%

4

4–00%

4–11%

4–20%

4–30%

4–40%

Most likely 0–1 (13%) · grid covers 99% of scorelines

More markets

Total goals

OverUnder0.5

90%10%1.5

67%33%2.5

41%59%3.5

20%80%4.5

8%92%

Double chance

Silibwet or draw

58%

Silibwet or Naivas

72%

Draw or Naivas

70%

Winning margin

Silibwet wins by 2+

11%

Naivas wins by 2+

19%

Team goals

Silibwet 1+ goals

65%

Silibwet 2+ goals

28%

Silibwet 3+ goals

9%

Naivas 1+ goals

72%

Naivas 2+ goals

36%

Naivas 3+ goals

14%

Draw no bet

Silibwet (draw refunded)

42%

Naivas (draw refunded)

58%

Combos

Both score & 3+ goals

33%

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

Silibwet at home — creates 1.10, concedes 1.48 · 52 matches

Naivas away — creates 1.07, concedes 0.97 · 90 matches

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

2

Expected goals for this match

Silibwet attack 1.10 + Naivas defence 0.97 → ÷2 → 1.04

Naivas attack 1.07 + Silibwet defence 1.48 → ÷2 → 1.27

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 42%?"

Silibwet scores more

30%

level

28%

Naivas scores more

42%

Naivas at 42% 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 42% does not mean "Naivas 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