Anytime Goalscorer Tips

Last updated 18 minutes ago

Today's Selections

This market is not yet part of the verified selection record — the archived, settled picks cover the result and goals markets the model was built on. What we publish here instead are the model's live reference numbers for today's fixtures, below, so you can see its view of this market beside the current prices.

Today's Anytime Scorer Board

Bet365 anytime prices beside the model's estimate of each player scoring in this match — built from their per-90 scoring rate, expected minutes and the fixture's goal expectancy. Edge is that model probability minus what the price implies; the implied number still carries the bookmaker's margin, so even a small positive edge is meaningful. Scores in is historical context only. These are model numbers for reference, not published selections.

Sparta Rotterdam v PEC Zwolle

Netherlands · Eredivisie Fri 4 Sep, 18:00 UTC

Player	Anytime	Model	Scores in	Edge
Andrej Kostic	2.00	19%	20% of 30 apps	-31.5 pts
Milan Zonneveld	2.10	27%	30% of 33 apps	-21.1 pts
Nokkvi Thorisson	2.50	14%	14% of 21 apps	-25.8 pts
Joel Ideho	2.75	6%	4% of 28 apps	-30.9 pts
Casper Terho	2.75	6%	5% of 20 apps	-30.2 pts
Koen Kostons	3.00	26%	27% of 37 apps	-7.6 pts
Shunsuke Mito	3.00	30%	24% of 29 apps	-3.4 pts
Mitchell Van Bergen	3.20	11%	9% of 33 apps	-20.1 pts

VfB Stuttgart v 1. FC Köln

Germany · Bundesliga Fri 4 Sep, 18:30 UTC

Player	Anytime	Model	Scores in	Edge
Deniz Undav	1.73	45%	48% of 44 apps	-12.8 pts
Ermedin Demirovic	2.10	29%	30% of 40 apps	-19 pts
Dzenan Pejcinovic	2.10	30%	24% of 33 apps	-17.5 pts
Jeremy Arevalo	2.20	26%	30% of 23 apps	-19.2 pts
Tiago Tomas	2.20	19%	21% of 38 apps	-26.6 pts
Justin Diehl	2.50	13%	14% of 14 apps	-26.9 pts
Bilal El Khannous	2.60	17%	16% of 51 apps	-21.1 pts
Jamie Leweling	2.60	20%	14% of 49 apps	-18.7 pts

Genoa v Como

Italy · Serie A Fri 4 Sep, 18:45 UTC

Player	Anytime	Model	Scores in	Edge
Anastasios Douvikas	2.50	30%	34% of 38 apps	-10.5 pts
Nicolas Paz	2.88	25%	29% of 35 apps	-9.5 pts
Ivan Azon	3.00	12%	14% of 37 apps	-21.6 pts
Martin Baturina	3.40	17%	21% of 33 apps	-12.2 pts
Jesus Rodriguez	3.40	7%	7% of 31 apps	-22.9 pts
Assane Diao	3.40	10%	11% of 19 apps	-19.6 pts
Alessandro Gabrielloni	3.60	9%	10% of 30 apps	-18.6 pts
Jayden Addai	3.60	18%	17% of 12 apps	-10.2 pts

Altrincham v Eastleigh

England · National League Fri 4 Sep, 18:45 UTC

Player	Anytime	Model	Scores in	Edge
Jimmy Knowles	2.30	–	–	–
Kristian Dennis	2.50	14%	13% of 24 apps	-25.9 pts
Aaron Blair	2.62	–	–	–
Samuel Taylor	2.62	–	–	–
Otis Khan	2.75	–	–	–
Liam Humbles	2.75	–	–	–
Kane Hemmings	2.75	4%	0% of 13 apps	-32.1 pts
Anthony Forde	2.75	–	–	–

Ipswich v Liverpool

England · Premier League Fri 4 Sep, 19:00 UTC

Player	Anytime	Model	Scores in	Edge
Alexander Isak	1.83	18%	18% of 28 apps	-36.2 pts
Cody Gakpo	2.30	26%	23% of 52 apps	-17.4 pts
Federico Chiesa	2.38	7%	7% of 30 apps	-35.2 pts
Bradley Barcola	2.40	28%	26% of 46 apps	-13.5 pts
Rio Ngumoha	2.60	5%	4% of 26 apps	-33.1 pts
Lewis Koumas	3.00	10%	9% of 43 apps	-23.1 pts
Victor Munoz	3.00	23%	21% of 33 apps	-10.6 pts
Florian Wirtz	3.00	16%	14% of 49 apps	-16.9 pts

Real Betis v Real Madrid

Spain · La Liga Fri 4 Sep, 19:00 UTC

Player	Anytime	Model	Scores in	Edge
Kylian Mbappe	1.50	64%	67% of 46 apps	-3.1 pts
Carlos Espi	1.67	35%	40% of 25 apps	-24.7 pts
Endrick	2.25	25%	20% of 20 apps	-19.5 pts
Yan Diomande	2.40	28%	27% of 41 apps	-14.1 pts
Alexis Ciria	2.62	–	–	–
Jude Bellingham	2.62	22%	24% of 42 apps	-16.5 pts
Troy Parrott	2.75	29%	41% of 49 apps	-7 pts
Cucho Hernandez	3.10	21%	34% of 38 apps	-11.6 pts

Paris Saint Germain v Monaco

France · Ligue 1 Fri 4 Sep, 19:05 UTC

Player	Anytime	Model	Scores in	Edge
Ousmane Dembele	1.80	39%	31% of 35 apps	-17 pts
Mika Godts	1.83	35%	31% of 48 apps	-19.2 pts
Khvicha Kvaratskhelia	1.83	38%	33% of 51 apps	-17.1 pts
Ferran Torres	1.83	40%	33% of 46 apps	-14.9 pts
Desire Doue	1.95	32%	30% of 37 apps	-18.9 pts
Maghnes Akliouche	2.10	15%	13% of 46 apps	-32.9 pts
Senny Mayulu	2.10	16%	15% of 39 apps	-31.2 pts
Quentin Ndjantou	2.38	8%	8% of 13 apps	-33.9 pts

FC Porto v Moreirense

Portugal · Primeira Liga Fri 4 Sep, 19:15 UTC

Player	Anytime	Model	Scores in	Edge
Deniz Gul	2.10	20%	14% of 44 apps	-28.1 pts
Borja Sainz	2.25	18%	12% of 42 apps	-26 pts
Rodrigo Mora	2.25	15%	11% of 36 apps	-29.8 pts
Gabriel Veiga	2.60	23%	17% of 42 apps	-15.1 pts
Eduardo Ferreira	2.75	5%	0% of 4 apps	-31.4 pts
Victor Froholdt	2.75	18%	13% of 54 apps	-18.6 pts
In-Beom Hwang	4.33	8%	4% of 24 apps	-15.5 pts
Pablo Rosario	4.75	9%	5% of 37 apps	-12.2 pts

New York City FC v Nashville SC

USA · Major League Soccer Fri 4 Sep, 23:30 UTC

Player	Anytime	Model	Scores in	Edge
Sam Surridge	2.20	42%	54% of 24 apps	-3.5 pts
Nicolas Fernandez Mercau	2.62	35%	49% of 33 apps	-3.3 pts
Seymour Reid	2.88	3%	6% of 16 apps	-32.1 pts
Hany Mukhtar	3.00	28%	33% of 30 apps	-5.1 pts
Warren Madrigal	3.20	20%	27% of 15 apps	-11.6 pts
Benie Traore	3.20	17%	24% of 41 apps	-14.4 pts
Hannes Wolf	3.20	16%	14% of 29 apps	-14.9 pts
Woobens Pacius	3.50	2%	0% of 12 apps	-26.6 pts

Anytime goalscorer tips with the maths showing

The anytime goalscorer market is football betting at its most personal, and its most mispriced. Prices track fame as much as output: household names carry short odds long after their underlying numbers fade, while a penalty-taking midfielder at a well-priced club can sit at twice the odds his scoring rate deserves. That gap between reputation and rate is where this market pays.

Pricing a scorer properly starts with the team, not the player. A striker converts a share of his side's goals, so the fixture's goal expectancy sets the ceiling: the same forward is a materially better bet in a match his team is expected to dominate than in a defensive struggle, at what is often the same advertised price. The model works in exactly that order, building the fixture's expected goals first, then distributing them across likely scorers by minutes, role and share of team scoring. Penalty duty is the single most valuable modifier in the market, quietly adding several percentage points of probability that lazy prices ignore.

A rough conversion to keep in your head: a player who scores in 40% of his starts is fairly priced around 2.50, and at 45% around 2.20. When you see 2.80 against a defence conceding freely, that is the shape of a value bet. When a famous name is 1.80 with a probability nearer 45%, that is the shape of a donation.

The variance here is spikier than in team markets. Strikers get rotated, hooked at an hour, or starved of service in exactly the game you backed them, and no projection sees a team sheet before it is published. Late team news moves this market more than any other we cover, which is a reason to bet it close to kick-off or not at all. Selections appear on this page when the model's number clears the threshold, and the settled record carries the only performance claims we make.

Scorer picks combine naturally with match angles in a bet builder, and the fixture-level goal expectancies that drive everything here are visible in the correct score predictor.

Frequently Asked Questions

What are anytime goalscorer tips?

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.

How are these tips generated?

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.

How has this market performed?

The verified record for this market builds from launch. Every settled selection will be published in the results archive, including the losing runs.