Ajax
v
Willem II
Ajax to win · 87% pre-match model probability · kicked off at odds 1.10
Last updated 36 minutes ago
The model prices matches before kick-off, so there are no automated in-play selections — live betting is a judgement game, and the guide below covers how to play it. What we can show you is which tracked fixtures are on right now, with the model's pre-match numbers.
Tracked fixtures that kicked off within the last two hours, with the model's pre-match view. We don't publish live scores or in-play prices — these are the numbers the match started with.
Ajax to win · 87% pre-match model probability · kicked off at odds 1.10
Alaves to win · 56% pre-match model probability · kicked off at odds 1.65
Both teams to score · 59% pre-match model probability · kicked off at odds 1.62
Hibernian to win · 67% pre-match model probability · kicked off at odds 1.42
Motherwell to win · 54% pre-match model probability · kicked off at odds 1.80
Bristol City to win · 48% pre-match model probability · kicked off at odds 1.90
Middlesbrough to win · 67% pre-match model probability · kicked off at odds 1.42
Aldershot Town to win · 44% pre-match model probability · kicked off at odds 2.10
Boston United to win · 42% pre-match model probability · kicked off at odds 2.15
Both teams to score · 64% pre-match model probability · kicked off at odds 1.50
Both teams to score · 66% pre-match model probability · kicked off at odds 1.50
Both teams to score · 61% pre-match model probability · kicked off at odds 1.62
Southend to win · 64% pre-match model probability · kicked off at odds 1.50
Sutton Utd to win · 47% pre-match model probability · kicked off at odds 1.95
Both teams to score · 61% pre-match model probability · kicked off at odds 1.62
Both teams to score · 64% pre-match model probability · kicked off at odds 1.50
Real Madrid to win · 78% pre-match model probability · kicked off at odds 1.22
Betting a live match is a different discipline from betting before kick-off, and most of the money lost in-play is lost by people who never noticed the difference. Pre-match, you have hours to compare a probability with a price. In-play, prices reprice every few seconds, margins widen, and the market is engineered to convert emotion into turnover. The counterweight is that live prices are set fast, by algorithms reacting to events, and fast pricing makes mistakes that patient bettors can wait for.
The durable in-play edges are mostly about game state. Prices overreact to early goals: a strong favourite conceding first often drifts further than its true chance justifies, because the market prices the scoreboard more heavily than the underlying balance of play. Red cards get overpriced in the opposite direction, with ten men written off more completely than the historical numbers support, especially for defending leads. And the goals markets drift mechanically as minutes pass without a goal, which rewards anyone whose pre-match expectancy for the fixture was higher than the market's and who is willing to enter late at improved prices.
Our approach feeds the same model outputs you see across this site into live context. The pre-match goal expectancies and win probabilities set a baseline; what changes in-play is the time remaining and the score, both of which adjust the numbers in ways that are arithmetic rather than opinion. When the live price on an outcome sits meaningfully worse than the adjusted number, that is a spot worth knowing about. Selections and spots published here carry the same discipline as everywhere else, and the settled record is published in full.
Ground rules that survive contact with reality: never bet from frustration at a pre-match pick going wrong, treat cash-out as a product priced against you rather than a safety net, and size stakes before the match, not during it, because judgement measurably deteriorates while watching. In-play rewards preparation and punishes reaction, which makes it the most honest test of whether you are betting numbers or feelings.
The full strategy guide goes deeper on timing and market selection, and the glossary's in-play entry covers the mechanics and settlement rules.
They are selections for this market produced by a statistical model rather than a tipster. The model estimates a probability for every fixture it prices, and a selection appears here when that probability clears the market threshold. The market itself is explained in plain English in our glossary.
A model rates every team from recent results, converts those ratings into goal expectancies for each fixture, and turns the expectancies into probabilities for this market. Selections are archived at kickoff and never edited afterwards.
The verified record for this market builds from launch. Every settled selection will be published in the results archive, including the losing runs.