Nairobi City Stars 2–1 FC Talanta: Result & Stats

Nairobi City Stars

FT

2 – 1

FC Talanta

6/29/2018

Super League · Super League - Round 21

Match Prediction

Statistical Prediction

Based on goals from last 18+ matches

Nairobi City Stars39%

×Draw29%

FC Talanta33%

✓ Correct in 51 of 100 matches — 6 more than always backing the home side

Model

50.6%

Always home

44.7%

The model picks a winner (home or away) for each finished match using only pre-kickoff data, then checks it against the real result: 50.6% correct across 576,853 matches, vs 44.7% for always backing the home side.

Home picks 50.9% correct · Away picks 49.7% correct

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

Nairobi City StarsExpected goals in this matchFC Talanta

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.

1.17

1.05

Nairobi City Stars

1.17

FC Talanta

1.05

Nairobi City Stars creates 11% more chances

Season form · 36 home / 18 away

1.17

creates per match

1.22

0.89

allows per match

1.17

creates per match

Nairobi City Stars

1.17

FC Talanta

1.22

allows per match

Nairobi City Stars

0.89

FC Talanta

1.17

+0.00on par

finishing

+0.00on par

finishing

Nairobi City Stars+0.00on par

FC Talanta+0.00on par

Total goals

Under62
Over38

Fewer than 3 goals likely

Both teams score

No55
Yes45

One side may not score

Score probability

Probability of each scoreline, %

Nairobi City Stars ↓

FC Talanta →

0

1

2

3

4

0

0–011%

0–111%

0–26%

0–32%

0–41%

1

1–013%

1–113%

1–27%

1–32%

1–41%

2

2–07%

2–18%

2–24%

2–31%

2–40%

3

3–03%

3–13%

3–22%

3–31%

3–40%

4

4–01%

4–11%

4–20%

4–30%

4–40%

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

More markets

Total goals

OverUnder0.5

89%11%1.5

65%35%2.5

38%62%3.5

18%82%4.5

7%93%

Double chance

Nairobi City Stars or draw

67%

Nairobi City Stars or FC Talanta

71%

Draw or FC Talanta

61%

Winning margin

Nairobi City Stars wins by 2+

16%

FC Talanta wins by 2+

13%

Team goals

Nairobi City Stars 1+ goals

69%

Nairobi City Stars 2+ goals

33%

Nairobi City Stars 3+ goals

11%

FC Talanta 1+ goals

65%

FC Talanta 2+ goals

28%

FC Talanta 3+ goals

9%

Draw no bet

Nairobi City Stars (draw refunded)

54%

FC Talanta (draw refunded)

46%

Combos

Both score & 3+ goals

31%

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

Nairobi City Stars at home — creates 1.17, concedes 0.89 · 36 matches

FC Talanta away — creates 1.22, concedes 1.17 · 18 matches

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

2

Expected goals for this match

Nairobi City Stars attack 1.17 + FC Talanta defence 1.17 → ÷2 → 1.17

FC Talanta attack 1.22 + Nairobi City Stars defence 0.89 → ÷2 → 1.05

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 39%?"

Nairobi City Stars scores more

39%

level

29%

FC Talanta scores more

33%

Nairobi City Stars at 39% 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 39% does not mean "Nairobi City Stars 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