1. Saarbrücken vs Hertha BSC

Saarbrücken vs Hertha BSC 1-1 Score & Prediction Review

DFB Pokal - Season 2026/2027 1st Round (Knock Out)

Saarbrücken vs Hertha BSC stats: how the match was played

DFB Pokal

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

Hertha BSC created more than twice the chances

Saarbrücken

Hertha BSC

0.6

Chances (xG)

3.1

2

Shots on target

9

0

Big chances

3

5

Corners

11

2

Yellow cards

3

38%

Possession

62%

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 →
The match between Saarbrücken and Hertha BSC ended 1-1. Our AI model predicted an Hertha BSC win at 44% confidence — the final result went a different way, but individual market predictions still offer useful insight. Our model got 1 out of 4 markets right, correctly predicting Both Teams To Score — a reminder that football can be unpredictable, but the data continues to sharpen future predictions.
This match is finished — the model has already priced the next one: Jeddeloh – Hertha BSC prediction & betting tips (Oct 28, 2026).

Saarbrücken vs Hertha BSC — Our Model vs the Bookmakers

Market check · DFB Pokal

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

Hertha BSC to win

Wrong
Our model 44%Bookmakers 43%

Our track record

In 3,626 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 47.0% of the time (bookmakers said 46.9%).

Both Teams to Score →Agrees with bookmakers

Our model’s pick

Yes, both score

Correct
Our model 64%Bookmakers 63%

Our track record

In 2,480 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 62.5% of the time (bookmakers said 61.6%).

Over/Under 2.5 Goals →Agrees with bookmakers

Our model’s pick

Over 2.5 goals

Wrong
Our model 67%Bookmakers 59%

Our track record

In 1,157 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.0% of the time (bookmakers said 66.8%).

Over/Under 3.5 Goals →Agrees with bookmakers

Our model’s pick

Under 3.5 goals

Correct
Our model 53%Bookmakers 62%

Our track record

In 286 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 58.4% of the time (bookmakers said 57.8%).

First Half Result →Agrees with bookmakers

Our model’s pick

Draw at half-time

Correct
Our model 38%Bookmakers 39%

Our track record

In 2,043 matches over the last 12 months where our model gave the same pick a 35–40% chance and the bookmakers agreed, it came true 40.3% of the time (bookmakers said 41.2%).

Saarbrücken Goals →Agrees with bookmakers

Our model’s pick

Saarbrücken 0–1 goals

Correct
Our model 58%Bookmakers 58%

Our track record

In 3,480 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 61.8% of the time (bookmakers said 61.1%).

Hertha BSC Goals →Agrees with bookmakers

Our model’s pick

Hertha BSC 2+ goals

Wrong
Our model 51%Bookmakers 52%

Our track record

In 1,014 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 59.6% of the time (bookmakers said 59.2%).

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

Saarbrücken vs Hertha BSC 1-1 — How Our Predictions Performed

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

· FT
SaarbrückenSaarbrücken1
Hertha BSCHertha BSC1

Winner

X2 66%

BTTS*

Yes 64%

Correct Score

1-1 09%

Over/Under 2.5 goals

over 67%

Over/Under 3.5 goals

over 57%

Full Time

134%
X22%
244%

Goals Over/Under

<1.5>1.5<2.5>2.5
FT15%85%33%67%
<3.5>3.5<4.5>4.5
FT43%57%69%31%

Team Goals Over/Under

<0.5>0.5<1.5>1.5
Saarbrücken31%69%58%42%
Hertha BSC23%77%49%51%
<2.5>2.5<3.5>3.5
Saarbrücken80%20%92%8%
Hertha BSC72%28%87%13%

1st Half

125%
X38%
236%

1st Score

142%
X4%
254%

Half Time/Full Time

2-2

29%

1-1

18%

X-2

14%

X-X

13%

X-1

10%

1-X

5%

2-X

5%

1-2

3%

2-1

3%

Correct Score

1-1

8.7%

1-2

8.1%

2-2

7.0%

2-1

6.8%

0-1

6.0%

1-3

5.3%

0-2

5.2%

1-0

5.0%

2-3

4.0%

2-0

4.0%

3-1

3.9%

0-0

3.8%

3-2

3.4%

0-3

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: Jeddeloh – Hertha BSC prediction & betting tips (Oct 28, 2026).

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