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Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

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Poisson model rates Leeds at 42%, yet other data sources diverge — this Leeds vs Liverpool fixture contains genuine analytical tension.

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Fixture Analysis

It is a Premier League clash, Regular Season - 15 as Leeds welcome Liverpool to Elland Road. Kick-off is set for Saturday 6 December 2025 at 17:30 UTC.

Form Analysis

Looking at all fixtures this season, Leeds stand at 3W 1D 6L from 10 Premier League matches — 1.00 PPG. Last five: L L L L W. Offensively they are averaging 1.50 goals per game, with 2.00 conceded. However, 2.00 goals conceded per game is a concern — opposing attacks have exploited them regularly. Both teams have scored in 80% of their matches — an extremely high rate that makes BTTS Yes a well-supported standalone angle from their form alone. This season is still relatively young for Leeds, so this record blends games from this season and last.

At home at Elland Road, Leeds have gone 6W 2D 2L this season (10 games, 2.00 PPG). They are averaging 2.20 goals per home game — a prolific scoring rate in front of their own fans. 4 home clean sheets from 10 games (40%) — a solid defensive base on their own ground. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture. Their home PPG of 2.00 is noticeably stronger than their overall 1.00 — Leeds are significantly better at Elland Road than their overall form suggests.

Liverpool — All Games: 3W 1D 6L from 10 Premier League fixtures this season — 1.00 PPG. Last five: W L L W D. Their scoring rate of 1.20 per game is modest, conceding 1.70 — not a side to back heavily on the Over 2.5 from their form alone. 2 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market. This season is still relatively young for Liverpool, so this record blends games from this season and last.

Liverpool's away record: 4W 0D 6L from 10 road trips in Premier League this season (1.20 PPG). Away from home they average 1.40 goals scored and 1.80 conceded per game. BTTS has landed in 60% of their away games — meaningful support for the Yes angle in this specific context.

The form figures are too closely matched to derive a directional pick: Leeds 1.00 PPG, Liverpool 1.00 PPG. Look to other data sets to build the analysis.

The BTTS market is worth targeting here. Leeds register both teams scoring in 60% of relevant matches, Liverpool in 60% (using home/away splits) — both sides above the 60% threshold gives BTTS Yes firm statistical grounding.

H2H

The rivalry is an even one: 1 wins apiece for Leeds, 3 for Liverpool and 0 shared spoils from 4 past contests. Neither side holds a meaningful historical edge.

Goals have been a feature of this fixture. The last 4 meetings have averaged 4.8 per game — a rate that gives the Over 2.5 market a solid historical foundation. The most recent clash, on 17 Apr 2023, ended 1–6 with Liverpool winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 4.8 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

In-Play Data

Leeds trading profile (52 games, 26 at home): they score before half-time in 85% of fixtures in home games; when goalless at HT, a second-half goal follows 67% of the time; they lead at the break 46% of the time; BTTS occurs in 46% of their matches (home games); Over 2.5 goals lands in 65% of games (home games); they keep a clean sheet 42% of the time.

Liverpool trading profile (52 games, 26 at away): they score before half-time in 71% of fixtures in away games; when goalless at HT, a second-half goal follows 100% of the time; two or more arrive in the second half on 50% of those occasions; BTTS occurs in 58% of their matches (away games); Over 2.5 goals lands in 65% of games (away games); Over 3.5 in 38%.

BTTS rates are mixed from the trading data — Leeds 44% versus Liverpool 60%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Leeds 56% | Liverpool 64%).

Poisson Model

The Poisson distribution model projects Leeds 1.58 xG and Liverpool 1.38 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Leeds attack 0.994 / defence 1.027 | Liverpool attack 1.069 / defence 1.032. League average goals — home 1.543 / away 1.253. Data: 14 Leeds games / 52 Liverpool games used (CurrentSeason).

Result probabilities: Leeds 42% | Draw 24% | Liverpool 33%. Fair-value odds: Leeds 2.38 | Draw 4.17 | Liverpool 3.03. This is a low-confidence result — no outcome exceeds 45%. The draw at 24% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 57% | BTTS probability 59% | Total xG 2.96. Over 2.5 holds a meaningful probability edge at 57% — the 2.96 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS probability of 59% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Our Verdict

Poisson rates Leeds as the most likely outcome at 42% — marginal model lean. With a 24% draw probability, Draw No Bet on Leeds offers a more defensible entry point than the straight win. The opposing side holds a 33% win probability per the model — this is not a banker and should be staked accordingly.

On the goals line, Poisson's 2.96 combined xG gives a 57% probability to Over 2.5 — strong, supported by form averaging 3.2 goals per game and H2H averaging 4.8 goals per meeting.

Poisson assigns a 59% probability to BTTS Yes based on the attack/defence strength model. Form rates corroborate: Leeds 60% | Liverpool 60% BTTS from recent games.

The outsider holds a 33% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.

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