A monthly betting review should answer a much more useful question than: “Did I make a profit?”
Profit matters, of course. But one profitable month can come from a few lucky results, while a losing month can contain several well-researched predictions that simply did not go your way.
The purpose of a review is to separate results from decision quality.
You want to understand which markets worked, which types of matches caused problems, whether your odds were good enough and whether your predictions were based on repeatable information rather than short-term luck.
For football goal predictions, this is especially important because markets such as Over 2.5, BTTS, team goals and first-half goals behave differently.
A proper monthly review can show where your analysis is genuinely strong—and where you may simply be guessing more accurately than usual.
Start With the Basic Numbers
Every monthly review should begin with a few simple figures.
Record:
- Number of predictions
- Wins
- Losses
- Voids or pushes
- Win rate
- Average odds
- Total amount staked
- Profit or loss
- Return on investment
Suppose your month looks like this:
- 50 selections
- 29 wins
- 21 losses
- Average odds: 1.85
- Flat stake: 1 unit per bet
Your strike rate is: 29 ÷ 50 × 100 = 58%
At first glance, that looks good.
But strike rate by itself tells you very little without the odds.
Winning 58% of bets at average odds of 1.85 is completely different from winning 58% at odds of 1.50.
Strike Rate Must Be Compared With the Odds
Decimal odds imply a rough break-even probability.
For example:
- 1.50 = 66.7%
- 1.70 = 58.8%
- 1.80 = 55.6%
- 1.90 = 52.6%
- 2.00 = 50%
If your average odds are around 1.85, you need to win slightly more than 54% of selections before bookmaker margin is considered.
So a 58% strike rate may indicate a profitable month.
Now imagine your strike rate is 65%, but your average odds are only 1.40.
The implied probability at 1.40 is around 71.4%.
A 65% win rate would actually be below the break-even level.
This is why percentages should never be reviewed without the corresponding prices.
Calculate Profit in Units
Using units makes results easier to compare.
Suppose you stake 1 unit on every selection.
You make 30 bets at average odds of 1.90.
You win 18 and lose 12.
Each winning bet returns: 1 × 1.90 = 1.90 units
Profit from each winner is: 0.90 units
Total profit from 18 winners: 18 × 0.90 = 16.2 units
Loss from 12 losing bets: 12 units
Monthly net result: 16.2 – 12 = +4.2 units
This tells you more than simply saying you won 18 of 30.
Use ROI to Compare Months
Return on investment, or ROI, measures your profit relative to how much you staked.
The formula is: Profit ÷ Total stake × 100
Using the previous example:
- Total stake: 30 units
- Profit: 4.2 units
4.2 ÷ 30 × 100 = 14% ROI
That would be an excellent short-term result.
However, do not immediately assume you have discovered a sustainable 14% edge.
Thirty bets are still a small sample.
A few results can significantly change the number.
This is why monthly ROI is useful for tracking performance, but longer periods are more meaningful for judging whether your method actually works.
Separate Results by Market
This is one of the most important parts of the review.
Do not group every prediction together.
Suppose your month contains:
- Over 2.5: 20 Bets | 12 Wins | 60% Strike Rate
- BTTS – Yes: 15 Bets | 10 Wins | 67% Strike Rate
- Team Over 1.5: 8 Bets | 3 Wins | 38% Strike Rate
- Over 0.5 First Half: 7 Bets | 4 Wins | 57% Strike Rate
Suddenly you learn something.
Your overall month may have been profitable, but Team Over 1.5 performed badly.
That deserves investigation.
Were those favourites overpriced? Were you overestimating attacking strength? Did several selections depend too heavily on recent scorelines rather than xG?
Without market-level review, weaknesses remain hidden inside the overall result.
Analyse Average Odds by Market
Strike rate becomes much more meaningful when combined with average price.
Imagine:
BTTS – Yes
- Strike rate: 67%
- Average odds: 1.72
Over 0.5 First Half
- Strike rate: 70%
- Average odds: 1.35
The first market may have produced more value even with a slightly lower strike rate.
Short-priced markets need extremely high accuracy to remain profitable.
This is particularly important with so-called “safe” selections.
A market at 1.30 may look easy to win, but a few losses can wipe out the profit from many winners.
Review Your Predictions Before Looking at the Final Score
A very useful habit is to revisit your original reasoning.
Suppose you backed Over 2.5 because:
- Both teams averaged high xG
- Both produced five shots on target
- Neither kept clean sheets
- Important defenders were unavailable
The match finishes 1-0.
Was the prediction automatically bad?
Not necessarily.
Now check the match.
If it produced:
- 2.8 combined xG
- 11 shots on target
- Four big chances
your underlying analysis may have been reasonable.
The finishing simply did not cooperate.
Now consider a winner.
You backed Over 2.5 and the match finished 3-1.
But the data shows:
- Only 1.1 combined xG
- Two penalties
- One own goal
The bet won, but the prediction may have been weak.
A good review studies why the result happened.
Winners Need Reviewing Too
Many bettors review only losing bets.
That creates a major blind spot.
A winning prediction can contain:
- Poor logic
- Weak statistics
- Lucky penalties
- Red-card distortion
- Goalkeeper errors
If you ignore lucky winners, your process can slowly become worse while the short-term results still look good.
For each selection, consider grading the decision separately from the result.
For example:
- Good decision / Win
- Good decision / Loss
- Weak decision / Win
- Weak decision / Loss
The most dangerous category is often Weak decision / Win, because it can reinforce bad habits.
Track Whether the Match Played as Expected
Your review should compare the actual match pattern with your prediction.
If you backed BTTS – Yes, ask:
- Did both teams create chances?
- Did one team completely fail to attack?
- Was your expected counterattacking threat present?
- Did a tactical change surprise you?
If you backed Under 2.5:
- Was the match actually controlled?
- Did the teams create few chances?
- Was the Under saved only by poor finishing?
This helps distinguish bad luck from bad analysis.
Use xG Carefully in the Review
Expected goals can be very useful when reviewing predictions.
Suppose you backed Over 2.5.
The result was 1-1.
Combined xG was 3.1.
That suggests the match generated enough opportunities for more goals.
Now suppose another 1-1 produced only 1.0 xG.
The score is the same, but the prediction quality looks very different.
However, xG is not a verdict.
Models differ, and a single match can still contain unusual situations.
Use it (via platforms like FBref) together with:
- Shots on target
- Big chances
- Shot locations
- Match state
Compare Your Odds With the Closing Price
If you recorded the price at which you made the prediction, compare it with the closing odds.
Suppose you backed BTTS – Yes at: 1.95
It closed at: 1.75
You obtained a significantly better price than was available near kick-off.
The bet may still lose, but consistently getting better prices than the closing market can be a useful sign that your analysis identifies value early.
Now imagine you repeatedly take: 1.70
and the market closes at: 1.95
That deserves attention.
Perhaps you are entering too early or systematically overestimating a certain type of selection.
Do not judge this from three bets. Track it over a much larger sample.
Look for Repeated Mistakes
At the end of the month, search for patterns.
Maybe several losing selections involved:
- Strong favourites with weak recent xG
- Away teams with poor scoring records
- Early-season small samples
- Heavy rotation
- Over 2.5 bets based mainly on H2H
- Short prices below 1.40
If the same problem appears repeatedly, you have found something useful.
Your next month’s goal should not necessarily be “win more bets”.
It might be: Stop backing Over 2.5 when only one team has a credible scoring route.
That is a specific improvement you can actually apply.
Practical Example: A Profitable Month That Needs Improvement
Imagine your monthly figures are:
- 40 bets
- 24 wins
- 16 losses
- Average odds: 1.78
- Profit: +2.72 units
That is profitable.
But the market breakdown shows:
- Over 2.5: +6.0 units
- BTTS: +1.5 units
- First-half goals: -4.78 units
The monthly total hides a clear weakness.
Instead of celebrating the overall profit and changing nothing, you might reduce or temporarily remove first-half selections until you understand the issue.
That is the value of reviewing by category.
Practical Example: Losing Month, Strong Process
Now imagine:
- 50 bets
- 25 wins
- 25 losses
- Average odds: 1.95
- Result: -1.25 units
The month is negative.
But your review shows:
- Many losing Overs produced high xG
- Your average taken odds were consistently better than closing odds
- Few selections involved obvious analysis mistakes
This may be a month where variance played a larger role.
That does not mean ignoring the losses.
It means you should avoid completely rebuilding a method after one disappointing short-term period.
Track More Than Profit
A useful monthly record could include:
- Bets made
- Win rate
- Average odds
- Profit/loss
- ROI
- Results by market
- Home vs away selections
- Pre-match vs live
- League or competition
- Average closing-price difference
- Major analysis errors
- Best-performing criteria
- Worst-performing criteria
You do not need dozens of complicated metrics.
Track only information you will actually use.
Avoid Judging Yourself on One Month
Even 50 or 100 bets can contain plenty of randomness.
Suppose your true win probability is 55%.
Over a small sample, you should not expect exactly 55 winners from every 100 bets.
Actual results naturally fluctuate.
That is why one excellent month should not create overconfidence, and one poor month should not automatically destroy confidence.
The goal is to identify whether the long-term process is improving.
Monthly reviews are checkpoints, not final verdicts.
A Simple Monthly Review Checklist
At the end of each month, ask:
- How many predictions did I make?
- What was my strike rate?
- What were my average odds?
- What was my profit or loss in units?
- What was my ROI?
- Which markets performed best?
- Which performed worst?
- Did my losing bets have good underlying statistics?
- Did I have lucky winners?
- Did I regularly beat the closing price?
- Which mistakes repeated?
- What one change should I make next month?
That last question is particularly important.
A review should lead to an action.
Frequently Asked Questions
Is strike rate the most important metric?
No. Strike rate must be compared with average odds. A high win percentage can still lose money at very short prices.
What is ROI?
ROI measures profit as a percentage of total stake. Divide profit by total amount staked and multiply by 100.
Should I review winning bets?
Yes. Lucky winners can hide poor analysis and are just as important to study as unlucky losses.
How many bets are needed before results become meaningful?
There is no exact number, but one month or a few dozen selections is usually too small to judge a strategy confidently. Larger samples provide a clearer picture.
Should closing odds be tracked?
They can be useful. Consistently obtaining better prices than the market closes at may provide additional evidence about the quality of your selection process.
Final Thoughts
A monthly betting review should be more than checking whether your balance went up or down.
Profit tells you what happened.
The review should explain why it happened.
Track strike rate, average odds, ROI and results by market. Then revisit your original reasoning and compare it with the actual match.
Look for lucky winners as well as unlucky losers. Identify repeated mistakes. Check whether your strongest markets continue performing well and whether weaker ones deserve changes.
Most importantly, judge your method over a meaningful sample.
One good month does not prove you have mastered football prediction. One losing month does not automatically mean your approach is broken.
A useful review turns every month into information for the next one.
Responsible betting: Tracking results is useful for controlling risk as well as measuring performance. Set a fixed budget, never chase monthly losses and never bet money you cannot afford to lose.
(Note: My apologies for the system glitch in the previous response—I had the text for “Monthly Betting Review” ready to go!)
