1. Dynamo Makhachkala vs CSKA Moskva

Makhachkala vs CSKA Moskva 1-3 Score & Prediction Review

Premier League - Season 2026/2027 (Round 9)

Fair result
MakhachkalaMakhachkala

1–3

CSKA MoskvaCSKA Moskva
1.1Chances (xG)1.4

On these chances Makhachkala would usually take 1.2 points and CSKA Moskva 1.5; they took 0 and 3. Bookmakers' favourite: CSKA Moskva.

Makhachkala −1.2 pts vs chancesCSKA Moskva +1.5 pts vs chances

Calculated by MyGameOdds · xG: our own model

How it works

Chances (xG): every shot gets a value for how likely it was to go in, and we add them up (our own model). Points their chances were worth: how many points teams usually get from chances like these.

Smash-and-grab: the winner created at least 0.8 xG less than the loser. Robbed: a draw where one side created at least 0.8 xG more. Anything else is a fair result. No verdict after extra time or when there's no xG.

Can you trust it? In these games, SportMonks' own xG agreed on who created more in 95% of the wins and 98% of the draws, and Flashscore agreed in 16 of the 20 games we checked by hand.

How we measure →

Makhachkala vs CSKA Moskva stats: how the match was played

Premier League

Whether the result matched the chances each side created, measured with our own xG.

CSKA Moskva had more than twice the shots on target

Makhachkala

CSKA Moskva

2

Shots on target

5

3

Big chances

4

4

Corners

5

3

Yellow cards

3

48%

Possession

52%

The match between Makhachkala and CSKA Moskva ended 1-3. Our AI model correctly predicted an CSKA Moskva win with 37% confidence before kick-off. Overall a solid read on this match, with 2 out of 4 key markets predicted correctly, including Full-Time Result & Both Teams To Score.
This match is finished — the model has already priced the next one: Dinamo Moskva – CSKA Moskva prediction & betting tips (Oct 18, 2026).

Makhachkala vs CSKA Moskva — Our Model vs the Bookmakers

Market check · Premier League

How our model’s pick did in each market, next to the bookmakers’ last odds before kick-off (margin removed): what was correct, what was wrong, and how often our predictions like this one came true over the last 12 months.

How to read it

our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Agrees with bookmakers

Our model’s pick

CSKA Moskva to win

Correct
Our model 37%Bookmakers 43%

Our track record

In 2,116 matches over the last 12 months where our model gave the same pick a 35–40% chance and the bookmakers agreed, it came true 43.6% of the time (bookmakers said 44.0%).

Both Teams to Score →Agrees with bookmakers

Our model’s pick

Yes, both score

Correct
Our model 53%Bookmakers 57%

Our track record

In 6,501 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 55.3% of the time (bookmakers said 55.0%).

Over/Under 2.5 Goals →Agrees with bookmakers

Our model’s pick

Under 2.5 goals

Wrong
Our model 52%Bookmakers 51%

Our track record

In 5,191 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.0% of the time (bookmakers said 56.4%).

Over/Under 3.5 Goals →Agrees with bookmakers

Our model’s pick

Under 3.5 goals

Wrong
Our model 74%Bookmakers 70%

Our track record

In 4,587 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 72.3% of the time (bookmakers said 71.6%).

First Half Result →Agrees with bookmakers

Our model’s pick

Draw at half-time

Correct
Our model 48%Bookmakers 42%

Our track record

In 4,247 matches over the last 12 months where our model gave the same pick a 45–50% chance and the bookmakers agreed, it came true 47.8% of the time (bookmakers said 47.3%).

Makhachkala Goals →Agrees with bookmakers

Our model’s pick

Makhachkala 0–1 goals

Correct
Our model 65%Bookmakers 67%

Our track record

In 3,463 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 63.8% of the time (bookmakers said 63.9%).

CSKA Moskva Goals →Agrees with bookmakers

Our model’s pick

CSKA Moskva 0–1 goals

Wrong
Our model 64%Bookmakers 56%

Our track record

In 2,695 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 63.1% of the time (bookmakers said 63.8%).

Odds: the last ones before kick-off. Picks are marked on the result after 90 minutes. The track record uses closing odds.

Makhachkala vs CSKA Moskva 1-3 — How Our Predictions Performed

The prediction cards below show the pre-match probabilities our AI model generated for Makhachkala vs CSKA Moskva. Correct predictions are highlighted in green, so you can quickly see where the model read this match well.

· FT
MakhachkalaMakhachkala1
CSKA MoskvaCSKA Moskva3

Winner

12 72%

BTTS*

Yes 53%

Correct Score

1-1 13%

Over/Under 2.5 goals

under 52%

Over/Under 3.5 goals

under 64%

Full Time

136%
X28%
237%

Goals Over/Under

<1.5>1.5<2.5>2.5
FT28%72%52%48%
<3.5>3.5<4.5>4.5
FT64%36%86%14%

Team Goals Over/Under

<0.5>0.5<1.5>1.5
Makhachkala31%69%65%35%
CSKA Moskva30%70%64%36%
<2.5>2.5<3.5>3.5
Makhachkala87%13%96%4%
CSKA Moskva86%14%95%5%

1st Half

126%
X48%
226%

1st Score

144%
X8%
248%

Half Time/Full Time

2-2

20%

X-X

19%

1-1

17%

X-1

14%

X-2

14%

1-X

6%

2-X

5%

1-2

3%

2-1

2%

Correct Score

1-1

12.7%

0-1

9.6%

1-0

9.6%

0-0

8.4%

2-1

8.3%

1-2

8.2%

2-0

6.0%

0-2

6.0%

2-2

5.3%

1-3

3.4%

3-1

3.2%

*Probability of each predicted outcome is expressed in percentage (%)

*BTTS - Both teams to score

This match is finished — the model has already priced the next one: Dinamo Moskva – CSKA Moskva prediction & betting tips (Oct 18, 2026).

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