Gorilla of the Universe 0–11 Shao Jiang

Gorilla of the Universe

FT

0 – 11

Shao Jiang

5/31/2026

Primeira Divisão · Round 12

Match Prediction

Statistical Prediction

Based on goals from last 8+ matches

Gorilla of the Universe11%

×Draw11%

Shao Jiang77%

✓ 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.

Gorilla of the UniverseExpected goals in this matchShao Jiang

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.

1.74

4.34

Gorilla of the Universe

1.74

Shao Jiang

4.34

Shao Jiang creates 149% more chances

Season form · 8 home / 13 away

2.63

creates per match

4.31

4.38

allows per match

0.85

creates per match

Gorilla of the Universe

2.63

Shao Jiang

4.31

allows per match

Gorilla of the Universe

4.38

Shao Jiang

0.85

+0.00on par

finishing

+0.00on par

finishing

Gorilla of the Universe+0.00on par

Shao Jiang+0.00on par

Total goals

Over93
Under7

3+ goals likely

Both teams score

Yes81
No19

Both teams likely to score

Score probability

Probability of each scoreline, %

Gorilla of the Universe ↓

Shao Jiang →

0

1

2

3

4

0

0–00%

0–11%

0–23%

0–34%

0–44%

1

1–00%

1–12%

1–24%

1–36%

1–47%

2

2–00%

2–12%

2–24%

2–36%

2–46%

3

3–00%

3–11%

3–22%

3–33%

3–43%

4

4–00%

4–10%

4–21%

4–31%

4–42%

Most likely 1–4 (7%) · grid covers 64% of scorelines

More markets

Total goals

OverUnder0.5

100%0%1.5

98%2%2.5

93%7%3.5

83%17%4.5

68%32%

Double chance

Gorilla of the Universe or draw

23%

Gorilla of the Universe or Shao Jiang

89%

Draw or Shao Jiang

89%

Winning margin

Gorilla of the Universe wins by 2+

5%

Shao Jiang wins by 2+

61%

Team goals

Gorilla of the Universe 1+ goals

82%

Gorilla of the Universe 2+ goals

52%

Gorilla of the Universe 3+ goals

25%

Shao Jiang 1+ goals

98%

Shao Jiang 2+ goals

92%

Shao Jiang 3+ goals

77%

Draw no bet

Gorilla of the Universe (draw refunded)

13%

Shao Jiang (draw refunded)

87%

Combos

Both score & 3+ goals

79%

Both score & under 3

2%

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

Gorilla of the Universe at home — creates 2.63, concedes 4.38 · 8 matches

Shao Jiang away — creates 4.31, concedes 0.85 · 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

Gorilla of the Universe attack 2.63 + Shao Jiang defence 0.85 → ÷2 → 1.74

Shao Jiang attack 4.31 + Gorilla of the Universe defence 4.38 → ÷2 → 4.34

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 77%?"

Gorilla of the Universe scores more

11%

level

11%

Shao Jiang scores more

77%

Shao Jiang at 77% 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 77% does not mean "Shao Jiang 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