Bayelsa United 4–1 Niger Tornadoes: Result & Stats

Bayelsa United

FT

4 – 1

HT: 2 – 0

Niger Tornadoes

11/27/2024

NPFL · Round 14Samson Siasia Stadium

Match Prediction

Statistical Prediction

Based on goals from last 66+ matches

Bayelsa United58%

×Draw25%

Niger Tornadoes17%

✓ 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.

Bayelsa UnitedExpected goals in this matchNiger Tornadoes

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.

1.59

0.71

Bayelsa United

1.59

Niger Tornadoes

0.71

Bayelsa United creates 124% more chances

Season form · 66 home / 96 away

1.65

creates per match

0.58

0.85

allows per match

1.53

creates per match

Bayelsa United

1.65

Niger Tornadoes

0.58

allows per match

Bayelsa United

0.85

Niger Tornadoes

1.53

+0.00on par

finishing

+0.00on par

finishing

Bayelsa United+0.00on par

Niger Tornadoes+0.00on par

Total goals

Under60
Over40

Fewer than 3 goals likely

Both teams score

No60
Yes40

One side may not score

Score probability

Probability of each scoreline, %

Bayelsa United ↓

Niger Tornadoes →

0

1

2

3

4

0

0–010%

0–17%

0–23%

0–31%

0–40%

1

1–016%

1–111%

1–24%

1–31%

1–40%

2

2–013%

2–19%

2–23%

2–31%

2–40%

3

3–07%

3–15%

3–22%

3–30%

3–40%

4

4–03%

4–12%

4–21%

4–30%

4–40%

Most likely 1–0 (16%) · grid covers 98% of scorelines

More markets

Total goals

OverUnder0.5

90%10%1.5

67%33%2.5

40%60%3.5

20%80%4.5

8%92%

Double chance

Bayelsa United or draw

83%

Bayelsa United or Niger Tornadoes

75%

Draw or Niger Tornadoes

42%

Winning margin

Bayelsa United wins by 2+

32%

Niger Tornadoes wins by 2+

5%

Team goals

Bayelsa United 1+ goals

80%

Bayelsa United 2+ goals

47%

Bayelsa United 3+ goals

21%

Niger Tornadoes 1+ goals

51%

Niger Tornadoes 2+ goals

16%

Niger Tornadoes 3+ goals

4%

Draw no bet

Bayelsa United (draw refunded)

78%

Niger Tornadoes (draw refunded)

22%

Combos

Both score & 3+ goals

29%

Both score & under 3

11%

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

Bayelsa United at home — creates 1.65, concedes 0.85 · 66 matches

Niger Tornadoes away — creates 0.58, concedes 1.53 · 96 matches

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

2

Expected goals for this match

Bayelsa United attack 1.65 + Niger Tornadoes defence 1.53 → ÷2 → 1.59

Niger Tornadoes attack 0.58 + Bayelsa United defence 0.85 → ÷2 → 0.71

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 58%?"

Bayelsa United scores more

58%

level

25%

Niger Tornadoes scores more

17%

Bayelsa United at 58% 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 58% does not mean "Bayelsa United 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