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Poisson model rates Nottingham Forest at 40%, yet other data sources diverge — this Nottingham Forest vs Sunderland fixture contains genuine analytical tension.

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Match Analysis

Nottingham Forest host Sunderland at City Ground in Premier League, Regular Season - 33. Kick-off is scheduled for Saturday 24 April 2027 at 14:00 UTC.

Form Analysis

Looking at all fixtures this season, Nottingham Forest stand at 4W 5D 1L from 10 Premier League matches — 1.70 PPG. Last five: W W D L D. They are averaging 2.20 goals per game — a high-scoring output that makes them a genuine attacking threat in any fixture. 3 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in 70% of their games — a high BTTS rate that carries real weight in the goals markets. Nottingham Forest haven't played a Premier League game yet this season, so this record is entirely from last season.

Nottingham Forest at City Ground this season: 1W 7D 2L from 10 home games — 1.00 PPG on home soil. At home they are averaging 0.80 goals scored and 0.80 conceded per game. Somewhat surprisingly, their home PPG of 1.00 lags behind their overall 1.70 — the home advantage has not translated into superior results at City Ground this season.

Sunderland — All Games: 5W 2D 3L from 10 Premier League fixtures this season — 1.70 PPG. Last five: L D D W W. Their scoring rate of 1.30 per game is modest, conceding 1.40 — not a side to back heavily on the Over 2.5 from their form alone. 3 clean sheets from 10 outings suggests some defensive organisation. Sunderland haven't played a Premier League game yet this season, so this record is entirely from last season.

Sunderland away from home this season: 3W 3D 4L from 10 away games — 1.20 PPG on the road. Away from home they average 1.30 goals scored and 1.80 conceded per game. Both teams have scored in 70% of their away matches — a high BTTS rate on the road that directly informs this fixture. Their away PPG of 1.20 is notably below their overall 1.70 — form away from home has been a clear weakness this season.

The form figures are too closely matched to derive a directional pick: Nottingham Forest 1.70 PPG, Sunderland 1.70 PPG. Look to other data sets to build the analysis.

H2H

The H2H landscape is flat: 5 previous encounters have yielded 2 wins for Nottingham Forest, 2 for Sunderland and 1 draws. A neutral reading in isolation.

The 5 previous meetings have averaged 2.0 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 24 Apr 2026, ended 5–0 with Nottingham Forest winning.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

Table Standings

In the Premier League table, Nottingham Forest sit 18th on 0 points, 1 place and 0 points ahead of Sunderland in 19th.

Nottingham Forest's home record this season stands at 0W 0D 0L. On the road, Sunderland's record stands at 0W 0D 0L this term. Nottingham Forest: Relegation. Sunderland: Relegation.

Trading Patterns

Nottingham Forest in-play and half-time data (38 games, 19 at home): they score before half-time in 58% of fixtures in home games; when goalless at HT, a second-half goal follows 70% of the time; two or more arrive in the second half on 50% of those occasions; BTTS occurs in 47% of their matches (home games); Over 2.5 goals lands in 42% of games (home games); they fail to score in 37% of games.

Sunderland in-play and half-time data (38 games, 19 at away): they score before half-time in 68% of fixtures in away games; when goalless at HT, a second-half goal follows 75% of the time; BTTS occurs in 47% of their matches (away games); Over 2.5 goals lands in 42% of games (away games); they fail to score in 34% of games.

BTTS rates are mixed from the trading data — Nottingham Forest 47% versus Sunderland 47%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Nottingham Forest 53% | Sunderland 45%).

Poisson Model

The Poisson distribution model projects Nottingham Forest 1.38 xG and Sunderland 1.19 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: Nottingham Forest attack 0.891 / defence 0.937 | Sunderland attack 1.045 / defence 1.008. League average goals — home 1.531 / away 1.214. Data: 38 Nottingham Forest games / 38 Sunderland games used (PrevSeason). Note: current-season sample is too small — prior-season data is carrying the calculation. Model confidence is reduced; treat probabilities as directional rather than precise.

Result probabilities: Nottingham Forest 40% | Draw 29% | Sunderland 31%. Fair-value odds: Nottingham Forest 2.50 | Draw 3.45 | Sunderland 3.23. This is a low-confidence result — no outcome exceeds 45%. The draw at 29% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 47% | BTTS probability 53% | Total xG 2.56. Over/Under 2.5 is close to a coin-flip at 47%/53% — the total xG of 2.56 sits near the 2.5 margin; this is a low-edge market from a Poisson standpoint. BTTS probability of 53% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Analysis Verdict

On the Poisson output, Nottingham Forest are the pick at 40% — marginal model lean. With a 29% draw probability, Draw No Bet on Nottingham Forest offers a more defensible entry point than the straight win. The opposing side holds a 31% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 2.56 total expected goals, pointing to Under 2.5 at 47% probability — Poisson-only — limited corroboration conviction.

The Poisson model's BTTS call is Yes at 53%. Form rates corroborate: Nottingham Forest 50% | Sunderland 70% BTTS from recent games.

The Poisson model is drawing on PrevSeason data (38 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

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