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Akhmat 2-3 Fakel – Result & Analysis

🎯

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Premier League · Regular Season - 12

Kick-off

Fri 18 Oct 2024

18:15

Venue

Akhmat Arena

Competition

Premier League

Russia

Status

FT
💬 Comment 📡 Chat 📝 Notes
📋

Poisson model rates Akhmat at 48%, yet other data sources diverge — this Akhmat vs Fakel fixture contains genuine analytical tension.

✍️ Match Preview

Pre-Match Analysis

Akhmat and Fakel meet at Akhmat Arena in Premier League, Regular Season - 12. This fixture gets under way on Friday 18 October 2024 at 18:15 UTC.

Form & Momentum

Akhmat have collected 0.50 PPG across 10 Premier League outings this season: 0W 5D 5L. Last five: D L D L L. They are averaging 0.60 goals per game and conceding 1.90 — a modest attacking output that tempers optimism on the Over 2.5 market. 3 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in just 30% of their matches, indicating a tendency toward clean sheets or low-scoring outcomes. This season is still relatively young for Akhmat, so this record blends games from this season and last.

Akhmat at Akhmat Arena this season: 2W 4D 4L from 10 home games — 1.00 PPG on home soil. At home they are averaging 1.30 goals scored and 2.50 conceded per game. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture. Their home PPG of 1.00 is noticeably stronger than their overall 0.50 — Akhmat are significantly better at Akhmat Arena than their overall form suggests.

Fakel's overall Premier League record this term: 1W 4D 5L from 10 games (0.70 PPG). Last five: L D L D D. Their scoring rate of 0.40 per game is modest, conceding 1.50 — not a side to back heavily on the Over 2.5 from their form alone. 4 clean sheets in 10 outings (40%) underlines their defensive solidity. Both teams have scored in just 30% of their games, reflecting a regular tendency to keep or record clean sheets. This season is still relatively young for Fakel, so this record blends games from this season and last.

Fakel away from home this season: 1W 1D 8L from 10 away games — 0.40 PPG on the road. Away from home they average 0.60 goals scored and 2.30 conceded per game.

A near-identical PPG reading — 0.50 for Akhmat, 0.70 for Fakel — means the form record is uninstructive on result selection. The goals and market sections will carry greater evidential weight.

H2H History

Form and model data should carry more weight here — the historical record is too balanced to provide a directional steer. From 4 meetings: Akhmat 1W, Fakel 2W, 1D.

The 4 previous meetings have averaged 2.5 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 25 May 2024, ended 0–2 with Fakel winning.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

Trading Data

Akhmat goal-timing and half-time pattern breakdown (41 games, 20 at home): they score before half-time in 80% of fixtures in home games; when goalless at HT, a second-half goal follows 58% of the time; BTTS occurs in 60% of their matches (home games); Over 2.5 goals lands in 50% of games (home games); they fail to score in 39% of games.

Fakel goal-timing and half-time pattern breakdown (41 games, 20 at away): they score before half-time in 75% of fixtures in away games; when goalless at HT, a second-half goal follows 47% of the time; BTTS occurs in 45% of their matches (away games); Over 2.5 goals lands in 50% of games (away games); they fail to score in 51% of games.

BTTS rates are mixed from the trading data — Akhmat 46% versus Fakel 34%; no strong lean in either direction. Under 2.5 goals has backing from the in-play data — both teams register low Over 2.5 rates (Akhmat 44% | Fakel 27%).

Poisson Model

The Poisson distribution model projects Akhmat 1.79 xG and Fakel 1.26 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Akhmat attack 0.912 / defence 1.272 | Fakel attack 0.815 / defence 1.466. League average goals — home 1.337 / away 1.220. Fakel bring a strong defensive rating of 1.466 — this is suppressing Akhmat's projected output below what their attack strength alone would suggest. Data: 41 Akhmat games / 41 Fakel games used (CurrentSeason).

Result probabilities: Akhmat 48% | Draw 27% | Fakel 25%. Fair-value odds: Akhmat 2.08 | Draw 3.70 | Fakel 4.00. Akhmat hold a narrow Poisson edge at 48% — the draw (27%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 59% | BTTS probability 61% | Total xG 3.05. Over 2.5 holds a meaningful probability edge at 59% — the 3.05 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 61% reflects that both xG figures (1.79 / 1.26) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Final Verdict

Poisson rates Akhmat as the most likely outcome at 48% — moderate model lean. Draw probability of 27% warrants consideration of Double Chance or Draw No Bet on Akhmat if the outright odds are short.

The Poisson model projects 3.05 xG in total — Over 2.5 at 59% — reasonable confidence, supported by form averaging 3.3 goals per game.

Poisson assigns a 61% probability to BTTS Yes based on the attack/defence strength model. Form rates are neutral: Akhmat 60% | Fakel 40%.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights

H2H The H2H record is evenly balanced (1W–1D–2W), with no clear historical advantage.
BTTS H2H BTTS 75% and Poisson BTTS 61% — two-way scoring is the dominant historical and model-backed outcome.
Form Akhmat Poisson xG (1.79) exceeds their recent form scoring rate (1.30) — the model sees more attacking threat than recent results show.
Form Fakel Poisson xG (1.26) exceeds their form scoring rate (0.60) — matchup dynamics are elevating the model's expectation.
BTTS Poisson BTTS probability is 61% — model favours both teams scoring.

🏟️ Match Context

• Fixture: Akhmat vs Fakel | Competition: Premier League, Regular Season - 12 | Venue: Akhmat Arena • Kick-off: Friday 18 Oct 2024, 18:15 UTC • Data inputs: H2H history, form splits, prediction model signals, and market pricing

📊 Statistical Prediction

• Poisson result probabilities: Akhmat 48% | Draw 27% | Fakel 25% • Poisson goal markets: Over 2.5 59% | BTTS 61% | xG Akhmat 1.79 / Fakel 1.26 • Poisson strength factors: Akhmat attack 0.912 / def 1.272 | Fakel attack 0.815 / def 1.466 | league avg home 1.337 / away 1.220 • Poisson stance: Akhmat (48%) — moderate lean

🧮 Prediction Model

1.79

Akhmat xG

Expected Goals

1.26

Fakel xG

48%
27%
25%
Akhmat Draw Fakel

61%

BTTS

83%

Over 1.5

59%

Over 2.5

36%

Over 3.5

Full score-by-score matrix & model internals in the "Full Poisson Detail" section below ↓

⚠️ This analysis is generated algorithmically from statistical data and is intended for informational purposes only. It does not constitute betting advice. Please gamble responsibly.

❓ Frequently Asked Questions

What time does Akhmat vs Fakel kick off?

Akhmat vs Fakel kicked off at 18:15 on Friday 18 October 2024 at Akhmat Arena.

What was the final score in Akhmat vs Fakel?

Akhmat 2 - 3 Fakel.

Where is Akhmat vs Fakel being played?

The match is being played at Akhmat Arena.

What competition is Akhmat vs Fakel part of?

Akhmat vs Fakel is a Regular Season - 12 fixture in the Premier League (Russia).

Who is favourite to win Akhmat vs Fakel?

Our statistical model gives Akhmat a 48% chance of winning, Fakel a 25% chance, and a 27% chance of a draw — making Akhmat the favourite.

Will both teams score in Akhmat vs Fakel?

Our model estimates a 61% probability that both Akhmat and Fakel will score (BTTS).

Will Akhmat vs Fakel have over 2.5 goals?

Our model puts the probability of over 2.5 goals in this match at 59%.

What is the head-to-head record between Akhmat and Fakel?

Record (4 meetings): Akhmat 1W | Draws 1 | Fakel 2W.

What form are Akhmat and Fakel in?

Akhmat (all comps): 0W-5D-5L in 10 | 0.50 PPG | GF 0.60 / GA 1.90 | L5 D-L-D-L-L. Fakel (all comps): 1W-4D-5L in 10 | 0.70 PPG | GF 0.40 / GA 1.50 | L5 L-D-L-D-D.

🧮 Model Insight

Behind the Numbers

The model rates Akhmat's attack at 0.91x the league average against Fakel's defence at 1.47x — combine the two and it projects 1.79 expected goals for the hosts. Flip it around — Fakel's attack (0.81x) against Akhmat's defence (1.27x) — and the away total comes out at 1.26.

These ratings are built from 41/41 games of current-season data — a full enough sample to trust.

Scoreline Breakdown

Of every possible scoreline, 1-1 carries the highest individual probability at 12.1% — still a long way from a near-certainty, which says something about how open this one is on paper. Close behind: 2-1 (9.5%), 2-0 (7.5%). Together the top three scorelines make up 29% of the probability — a moderately spread distribution, typical of a competitive match-up.

Most Likely Outcome

Akhmat Win

48%

Akhmat

2.08

27%

Draw

3.76

25%

Fakel

3.94

Top 3 Most Likely Scorelines

1 – 1

10.7%

Draw

Most likely

2 – 1

9.5%

Home win

1 – 0

8.4%

Home win

Expected Goals & Win Odds

1.79

Akhmat xG

Total xG

3.05

1.26

Fakel xG

48%
27%
25%
AkhmatDrawFakel

2.08

48%

Home win

3.76

27%

Draw

3.94

25%

Away win

Goals Markets

81%

Over 1.5

1.23

19%

Under 1.5

5.26

59%

Over 2.5

1.69

41%

Under 2.5

2.44

36%

Over 3.5

2.78

64%

Under 3.5

1.56

19%

Over 4.5

5.26

81%

Under 4.5

1.23

Match Markets

Both Teams to Score

61%

BTTS Yes

1.63

39%

BTTS No

2.59

Clean Sheet

28%

Akhmat

3.54

17%

Fakel

5.97

Win to Nil

14%

Akhmat

7.39

4%

Fakel

23.50

Score Probability Matrix (%)

H \ A 0 1 2 3 4 5
0 4.7 6.0 3.8 1.6 0.5 0.1
1 8.4 10.7 6.8 2.8 0.9 0.2
2 7.5 9.5 6.0 2.5 0.8 0.2
3 4.5 5.7 3.6 1.5 0.5 0.1
4 2.0 2.5 1.6 0.7 0.2 0.1
5 0.7 0.9 0.6 0.2 0.1

Green = home win Β· Grey = draw Β· Amber = away win Β· White ring = most likely score

Model Internals
λ Home (xG) 1.787
λ Away (xG) 1.265
Total xG 3.052
League avg home goals 1.337
League avg away goals 1.220
Akhmat attack strength 0.912
Akhmat defence strength 1.272
Fakel attack strength 0.815
Fakel defence strength 1.466
Data phase CurrentSeason
Games used (H/A) 41 / 41

❓ Frequently Asked Questions

What is the most likely scoreline for Akhmat vs Fakel?

Our Poisson model rates 1-1 as the single most likely exact scoreline, at 12.1%.

How many goals are Akhmat and Fakel expected to score?

The model projects 1.79 expected goals for Akhmat and 1.26 for Fakel, a combined total of 3.05.

How confident is the prediction model for Akhmat vs Fakel?

Not very — the model's leading outcome sits at just 48%, meaning this is rated as a genuinely open contest with no dominant favourite.

📈 Form Insight

The Form Picture

Akhmat come into this having played 41 games, going 10W 11D 20L for 1.00 points per game. Their last five reads D-L-D-L-L. The sample for Akhmat is still a mix of this season and last, given how young the current campaign is.

On the other side, Fakel sit at 0.95 PPG from 41 outings (8W 15D 18L), a run that reads L-D-L-D-D across their last five. The sample for Fakel is still a mix of this season and last, given how young the current campaign is.

There isn't much between them on recent form — 1.00 PPG for Akhmat against 0.95 for Fakel. Neither side arrives with a clear form advantage.

Home & Away Splits

Akhmat's home form reads 5W 7D 8L across 20 games on their own ground, a 1.10 PPG return.

Away from home, Fakel have taken 0.65 points per game from 20 outings (3W 4D 13L).

Comparing the two in their relevant venue splits, Akhmat come out ahead — a more targeted read than the overall PPG figures above, since it strips out games played in the opposite context.

Scoring & Defensive Trends

Akhmat are averaging 0.98 goals scored and 1.59 conceded per game recently; Fakel are on 0.66 scored and 1.20 conceded.

Defensively: Fakel in 39% — worth knowing if you're weighing up clean-sheet or BTTS-No markets.

Last 41 Results — Premier League

Current season: same league only · Previous season: all leagues (covers promoted/relegated teams)

Akhmat

Akhmat

Blended
D L D L L
Fakel

Fakel

Blended
L D L D D
41 Played 41
10/11/20 W / D / L 8/15/18
1.00 Points Per Game 0.95
0.98 Avg Goals Scored 0.66
1.59 Avg Goals Conceded 1.20
2.56 Avg Goals / Game 1.85
11 Clean Sheets 16
19 BTTS 14
18 Over 2.5 Games 11
Akhmat

Akhmat

L
A Rubin
0–2 HT 0–1
05 Oct
L
A CSKA Moscow
0–3 HT 0–2
28 Sep
D
H Krylia Sovetov
1–1 HT 0–0
23 Sep
L
A Dynamo
2–4 HT 0–1
15 Sep
D
H Akron
0–0 HT 0–0
31 Aug
D
H Khimki
3–3 HT 0–1
24 Aug
L
A Dinamo Makhachkala
0–1 HT 0–0
19 Aug
D
A Spartak Moscow
0–0 HT 0–0
11 Aug
L
H Lokomotiv
0–5 HT 0–3
04 Aug
D
A FC Orenburg
0–0 HT 0–0
28 Jul
D
H FC Krasnodar
1–1 HT 1–1
21 Jul
L
A Fakel
0–2 HT 0–1
25 May
L
H Zenit
1–5 HT 1–3
19 May
W
A Krylia Sovetov
2–0 HT 1–0
10 May
W
A FC Krasnodar
1–0 HT 0–0
04 May
W
H Nizhny Novgorod
5–1 HT 2–1
28 Apr
W
H FC Sochi
1–0 HT 1–0
25 Apr
W
A CSKA Moscow
2–1 HT 0–0
20 Apr
L
H Baltika
1–7 HT 0–5
13 Apr
L
H Lokomotiv
0–2 HT 0–1
07 Apr
L
A Rubin
1–2 HT 0–2
31 Mar
L
A Dynamo
0–2 HT 0–1
09 Mar
W
H Ural
1–0 HT 0–0
02 Mar
D
H FC Rostov
0–0 HT 0–0
09 Dec
W
H Spartak Moscow
2–1 HT 1–1
03 Dec
D
A FC Orenburg
1–1 HT 0–0
26 Nov
L
A Lokomotiv
1–2 HT 0–0
11 Nov
L
H Fakel
1–2 HT 1–0
04 Nov
L
A Zenit
1–2 HT 1–2
28 Oct
L
A FC Rostov
0–3 HT 0–2
22 Oct
L
H Rubin
0–1 HT 0–1
08 Oct
D
H Dynamo
1–1 HT 1–0
01 Oct
L
A Baltika
0–1 HT 0–1
23 Sep
D
H FC Krasnodar
1–1 HT 1–1
16 Sep
W
A Ural
1–0 HT 1–0
02 Sep
D
A Spartak Moscow
0–0 HT 0–0
26 Aug
W
H FC Orenburg
4–0 HT 3–0
20 Aug
L
A Nizhny Novgorod
0–2 HT 0–2
14 Aug
W
A FC Sochi
2–1 HT 2–1
06 Aug
L
H CSKA Moscow
2–3 HT 2–2
30 Jul
L
H Krylia Sovetov
1–2 HT 0–1
22 Jul
Fakel

Fakel

D
H Dinamo Makhachkala
1–1 HT 0–1
06 Oct
D
H Rubin
0–0 HT 0–0
27 Sep
L
A Zenit
1–3 HT 1–0
21 Sep
D
H Nizhny Novgorod
0–0 HT 0–0
14 Sep
L
A FC Rostov
1–4 HT 0–2
01 Sep
W
H FC Orenburg
1–0 HT 0–0
24 Aug
L
A Spartak Moscow
0–3 HT 0–2
18 Aug
L
A Krylia Sovetov
0–2 HT 0–0
11 Aug
D
H FC Krasnodar
0–0 HT 0–0
04 Aug
L
H Akron
0–2 HT 0–0
27 Jul
L
A Dynamo
1–3 HT 0–3
20 Jul
W
H Akhmat
2–0 HT 1–0
25 May
L
A Lokomotiv
0–2 HT 0–1
18 May
D
H Ural
0–0 HT 0–0
12 May
D
H Zenit
1–1 HT 0–1
06 May
D
A FC Sochi
0–0 HT 0–0
29 Apr
L
H Krylia Sovetov
0–1 HT 0–0
25 Apr
L
A FC Krasnodar
0–2 HT 0–0
19 Apr
L
H FC Rostov
0–1 HT 0–0
14 Apr
L
A CSKA Moscow
1–4 HT 0–1
07 Apr
D
H FC Orenburg
0–0 HT 0–0
31 Mar
W
A Spartak Moscow
2–0 HT 1–0
10 Mar
D
A Nizhny Novgorod
1–1 HT 1–0
03 Mar
D
H Dynamo
1–1 HT 0–1
10 Dec
D
H Baltika
0–0 HT 0–0
02 Dec
L
A Rubin
0–1 HT 0–1
26 Nov
D
H CSKA Moscow
1–1 HT 0–1
11 Nov
W
A Akhmat
2–1 HT 0–1
04 Nov
W
H Spartak Moscow
2–0 HT 0–0
28 Oct
W
A FC Orenburg
2–1 HT 1–0
21 Oct
D
A Dynamo
0–0 HT 0–0
08 Oct
W
H FC Sochi
2–0 HT 1–0
01 Oct
L
H Rubin
0–1 HT 0–0
25 Sep
D
A Ural
0–0 HT 0–0
17 Sep
L
A Krylia Sovetov
0–3 HT 0–1
02 Sep
D
H FC Krasnodar
0–0 HT 0–0
25 Aug
W
H Nizhny Novgorod
2–0 HT 0–0
20 Aug
L
A Zenit
0–2 HT 0–1
13 Aug
L
A Baltika
1–2 HT 1–1
06 Aug
L
H Lokomotiv
1–4 HT 1–1
30 Jul
L
A FC Rostov
1–2 HT 1–1
23 Jul

❓ Frequently Asked Questions

What form are Akhmat and Fakel in coming into this match?

Akhmat have gone 10W 11D 20L in their last 41 games (1.00 PPG), while Fakel have gone 8W 15D 18L in their last 41 (0.95 PPG).

Which team has the better venue record — Akhmat at home or Fakel away?

Akhmat's home record (1.10 PPG) is the stronger of the two venue-specific splits — Akhmat at home: 1.10 PPG; Fakel away: 0.65 PPG.

Have Akhmat or Fakel been keeping clean sheets recently?

Akhmat have kept a clean sheet in 27% of their recent games, Fakel in 39%.

⚔️ Rivalry Insight

History of the Fixture

On record, these two have faced off 6 times since July 2022 — enough meetings to establish some real patterns. Every recorded meeting has come in Premier League. It has been a while since the last meeting — 5 April 2025, some 2 years back — so squads and form on both sides may look very different now.

Records & Recent Trends

Specifically as hosts in this fixture, Akhmat have gone 1W 0D 2L from 3 meetings on their own ground against Fakel — worth weighing alongside the overall series record.

Last 6 Meetings

Akhmat

1

Akhmat

2

Draws

Fakel

3

Fakel

Recent Meetings

Fakel
0–0
05 Apr 25
Akhmat
Akhmat
2–3
18 Oct 24
Fakel
Fakel
2–0
25 May 24
Akhmat
Akhmat
1–2
04 Nov 23
Fakel
Fakel
1–1
16 Apr 23
Akhmat
Akhmat
2–1
24 Jul 22
Fakel

❓ Frequently Asked Questions

What is the head-to-head record between Akhmat and Fakel?

From 6 meetings on record, Akhmat have won 1, Fakel have won 3, and 2 have been drawn.

When did Akhmat and Fakel last play each other?

They last met on 5 April 2025, when Fakel 0-0 Akhmat.

Who has won more matches between Akhmat and Fakel?

Fakel have the better head-to-head record, with 3 wins from 6 meetings.

📈 Trading Insight

How These Sides Start

Akhmat are typically involved in an early goal — the half-time board shows at least one in 80% of their matches. They've gone in front at half-time 25% of the time.

Fakel are typically involved in an early goal — the half-time board shows at least one in 75% of their matches.

Goals & Clean Sheets

BTTS sits in mixed territory for this pairing — Akhmat 60%, Fakel 45% — no strong lean either way from the trading data alone.

Over 2.5 has been close to a coin-flip for both sides — 50% (Akhmat) and 50% (Fakel).

On the defensive side: Fakel in 50%.

📈

Current season: same league only. Previous season: all leagues (covers promoted/relegated teams). All = any venue  |  Venue = Akhmat home games / Fakel away games. HT metrics require half-time score data β€” shown as β€” where unavailable.

Akhmat Akhmat Blended
Metric All
(41 games)
Venue
(20 games)
Half-Time Metrics
1+ Goal Before HT 29/41
(70.7%)
16/20
(80%)
2+ Goals Before HT 15/41
(36.6%)
9/20
(45%)
0-0 HT → 1+ Goal 2nd Half 7/12
(58.3%)
2/4
(50%)
0-0 HT → 2+ Goals 2nd Half 4/12
(33.3%)
1/4
(25%)
Winning at HT 8/41
(19.5%)
5/20
(25%)
Lost Lead (Win HT → No Win FT) 2/41
(4.9%)
2/20
(10%)
Came From Behind (Lose HT → Draw/Win FT) 1/41
(2.4%)
1/20
(5%)
Full-Time Metrics
BTTS 19/41
(46.3%)
12/20
(60%)
Over 2.5 Goals 18/41
(43.9%)
10/20
(50%)
Over 3.5 Goals 8/41
(19.5%)
7/20
(35%)
Clean Sheet 11/41
(26.8%)
5/20
(25%)
Failed to Score 16/41
(39%)
5/20
(25%)
Fakel Fakel Blended
Metric All
(41 games)
Venue
(20 games)
Half-Time Metrics
1+ Goal Before HT 22/41
(53.7%)
15/20
(75%)
2+ Goals Before HT 6/41
(14.6%)
5/20
(25%)
0-0 HT → 1+ Goal 2nd Half 9/19
(47.4%)
2/5
(40%)
0-0 HT → 2+ Goals 2nd Half 5/19
(26.3%)
2/5
(40%)
Winning at HT 6/41
(14.6%)
4/20
(20%)
Lost Lead (Win HT → No Win FT) 2/41
(4.9%)
2/20
(10%)
Came From Behind (Lose HT → Draw/Win FT) 5/41
(12.2%)
1/20
(5%)
Full-Time Metrics
BTTS 14/41
(34.1%)
9/20
(45%)
Over 2.5 Goals 11/41
(26.8%)
10/20
(50%)
Over 3.5 Goals 5/41
(12.2%)
4/20
(20%)
Clean Sheet 16/41
(39%)
4/20
(20%)
Failed to Score 21/41
(51.2%)
10/20
(50%)

❓ Frequently Asked Questions

Do both teams usually score when Akhmat play Fakel?

Not especially — both teams scoring has occurred in only 60% of Akhmat's recent matches and 45% of Fakel's, a rate that leans toward BTTS No.

Is Akhmat vs Fakel usually a high-scoring fixture?

Not particularly — Over 2.5 goals has come in for only 50% of Akhmat's recent games and 50% of Fakel's, pointing to a tighter contest.

Do Akhmat and Fakel tend to score early?

Akhmat have had a goal before half-time in 80% of their recent matches, Fakel in 75% — a useful reference point for first-half goal markets.

📰

Shock result as Fakel defy the odds to beat Akhmat 2-3.

📝 Match Report

How It Unfolded

Fakel beat Akhmat 2-3 at Akhmat Arena, Regular Season - 12, in the Premier League. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.

The Model vs The Result

The Poisson model went into this projecting Akhmat 1.79 xG and Fakel 1.26 xG, a combined 3.05. The scoreboard read 2-3 for 5 actual goals. Fakel outscored their 1.26 projection by 1.7. Those figures were built on strength ratings of Akhmat attack 0.91 / defence 1.27 against Fakel attack 0.81 / defence 1.47, drawn from 41/41 games (CurrentSeason).

On the result, the model split it Akhmat 48% | Draw 27% | Fakel 25%, with Akhmat to win its most likely call at 48%. Instead the game produced a Fakel win, an outcome the model had rated at just 25% — a clear break from expectation and a genuine upset by the numbers.

Goals & Markets

The model rated Over 2.5 goals at 59%. The game delivered 5, so it went over — a call the model got right. Over 1.5 had been 83% and landed. Over 3.5 was 36% and came in. On both teams to score, the model sat at 61% and the match saw both sides score — another call in the model's favour. Historically the two sides average 35% Over 2.5 across their same-competition games (Akhmat 44%, Fakel 27%), a base rate that pointed the other way from today's over. Their combined BTTS history runs at 40%, which did not match the both-scored outcome.

Trading Patterns vs Reality

Akhmat's trading profile (41 games, 20 home) set some clear expectations: BTTS lands in 46% of their matches — today it did.

Fakel's trading profile (41 games, 20 away) set some clear expectations: BTTS lands in 34% of their matches — today it did; they keep a clean sheet 39% of the time, and conceded here.

Form vs Result

The form lines were close — Akhmat 1.00 PPG, Fakel 0.95 PPG — offering no strong steer, and the Fakel win broke the near-deadlock. Akhmat (home/away splits) shipped 3 against a 1.80 concession average — a leakier day than usual. Fakel (home/away splits) scored 3 against a 0.65 average — above their attacking norm.

Verdict

Grading the result against the stored data, 2 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (hit). The model got the gist right while missing on the margins.

💡 Key Insights

Model Over/Under 2.5 landed as modelled — 59% Over 2.5 probability, 5 goals scored.
Model BTTS matched the model — 61% projected, both teams scored.
Trading Trading data bucked — 35% historical Over 2.5 rate, but the game went over.

⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.