What’s On It

The Two-Leg Picture

Friday at the MKM Stadium is the first leg only. The return is at The Den on Monday 11 May, also at 20:00 BST. Whichever side advances on aggregate goes to Wembley on Saturday 23 May. Lower-seeded Hull host first; the second leg’s home advantage sits with third-placed Millwall.

The Final Table

How the Championship finished after 46 games. Hull and Millwall both highlighted in context.

Form & the Underlying Numbers

Hull’s form narrative is one of a team that stumbled over the line by the narrowest of margins. They endured a six-game winless run (D-L-D-D-L-W reading old to new) before the final day, a stretch that included a 2-2 draw at Leicester where manager Sergej Jakirović was sent off, and a 2-1 defeat at Charlton where Eliot Matazo suffered a fresh ACL injury within ten minutes of his first appearance in 424 days. The only win in seven came on the final day, a 2-1 victory over Norwich courtesy of McBurnie’s double, with Wrexham only drawing at Middlesbrough to leave Hull two points clear. Across those six winless matches, Hull managed six goals while conceding eight, with xG outputs of 0.77, 0.95, 1.38, 0.49 and 1.95 — the final-day spike aside, they rarely created enough. Millwall, by contrast, collected 11 points from their last six matches (L-D-W-W-D-W), with Femi Azeez scoring both goals in a 2-0 win over Oxford United on the final day. The Lions’ xG in that run was consistently above 1.0 (0.92, 1.1, 1.08, 1.48, 1.94, 1.89), reflecting controlled performances. The xG gap across the season is glaring: Hull’s xGD of -18.2 is the worst in the top 14, while Millwall’s +4.0 is modest but solid. Hull’s home defensive record is particularly concerning — they conceded 34 goals at the MKM Stadium, more than they did away from home (32), undermining any notion of a fortress effect. The underlying numbers suggest Hull have out-performed their xG by roughly 22 goals, a profile heading into the play-offs.

Last six matches — side by side

Rolling xG — 10-match window

xG scatter — for vs against

Each dot is a fixture: xG produced (x-axis) against xG conceded (y-axis). Below the diagonal = outperforming the opposition on chances.

Home vs away split

Hull conceded more at home (34) than away (32) — there is no fortress effect at the MKM. Millwall lost only four times on the road all season, the firmest away record in the division.

When the goals come

Players to Watch

Two on each side. Hull’s two 14-goal forwards versus Millwall’s most direct creator and their penalty-box finisher.

Oliver McBurnie (Hull City)

Oliver McBurnie has been Hull’s talisman all season. The 29-year-old former Scotland international scored 15 goals and added seven assists in 37 appearances (31 starts), averaging a rating of 6.96. His two-goal performance on the final day against Norwich lifted Hull two points clear of Wrexham — a moment that encapsulated his importance. ‘After the year on the whole, it would have been a real shame if we didn’t make it,’ he told BBC Radio Humberside. ‘We’ve put ourselves in this position. No-one has put us there, it’s not been luck. It’s been real hard work from the boys, grind.’ With 53 total shots and 33 on target, McBurnie is the focal point of Hull’s attack. His ability to convert chances — and create them for others — will be crucial against a Millwall defence that has conceded only 49 goals all season.

Joe Gelhardt (Hull City)

Joe Gelhardt has been Hull’s other primary attacking threat, contributing 14 goals and four assists in 38 appearances (34 starts). The 23-year-old operates slightly deeper than McBurnie but is equally prolific, registering 59 shots with 37 on target — the second-most prolific shooting numbers in the squad. Gelhardt scored Hull’s only goal in the 1-3 home defeat to Millwall on 7 March, a match in which Hull dominated possession (56%) and created 2.51 xG but lost. His movement between the lines and ability to arrive late in the box make him a difficult matchup for centre-backs. With an average rating of 6.95, Gelhardt has been a consistent performer, but the play-offs demand a step up in output. If Hull are to progress, both he and McBurnie must fire in tandem.

Femi Azeez (Millwall)

Femi Azeez has been Millwall’s standout performer this season, earning the highest average rating (7.20) of any player across the four play-off teams. The winger has contributed nine goals and seven assists in 34 appearances (32 starts), making him the most direct goal involvement threat in Alex Neil’s squad. He scored both goals in the 2-0 win over Oxford United on the final day, showcasing his ability to decide tight matches. Azeez also assisted Mihailo Ivanović in the 3-1 win at the MKM Stadium in March, a result that demonstrated Millwall’s counter-attacking efficiency. With 67 total shots and 27 on target, he is a constant threat from wide areas. His combination of pace, dribbling and end product makes him the player Hull must contain above all others.

Josh Coburn (Millwall)

Josh Coburn offers Millwall a different kind of threat: the penalty-box poacher. The striker has scored nine goals from 35 shots (18 on target) in 26 appearances (22 starts), with every single contribution being a finish — he has zero assists. Coburn sealed Millwall’s 3-1 victory at the MKM in March with a clinical third-goal finish that effectively decided the match. His conversion rate is impressive: 18 shots on target from 35 attempts suggests a striker who knows where the goal is. While he may not be involved in build-up play, his movement in the box and ability to finish chances make him a constant danger. Against a Hull defence that has conceded 66 goals this season, Coburn’s predatory instincts could prove decisive, particularly if Millwall create chances on the counter.

Head to Head

The two league meetings this season both ended 3-1, with the away side winning each time, setting up a fascinating tactical subplot. At The Den in December, Kyle Joseph scored twice inside the opening 13 minutes (6′ and 13′) to break the game open, with McBurnie adding a third late on after Aidomo Emakhu had pulled one back. The return fixture at the MKM Stadium in March was a paradox that encapsulates Hull’s season: they dominated with 23 shots, 56% possession and 2.51 xG against Millwall’s 1.38, yet lost 1-3. Jake Cooper opened the scoring for Millwall in the 14th minute, Gelhardt equalised four minutes later, but second-half goals from Mihailo Ivanović and Josh Coburn secured the win for the visitors. Hull had 12 shots blocked that day, a testament to Millwall’s disciplined defensive structure. The 5-year head-to-head record favours Hull 5-2-3, but Millwall took the most recent fixture at the MKM by the same 1-3 scoreline, with both home meetings this season ending in away victories. Notably, both first goals in this season’s two matches came inside 14 minutes (Joseph 6′, Cooper 14′), suggesting neither side is inclined to feel their way into the game. The aggregate over two legs will test whether Hull can convert dominance into results, or whether Millwall’s efficiency on the counter prevails once more.

Last six meetings

Goal-scoring trend — xG vs actual

How well each side’s goal output is tracking their expected-goals profile across the 25/26 season. Above the line = scoring above xG; below = under-performing.

The Model’s Honest Reading

The honest reading of this tie requires reconciling two conflicting model outputs, which themselves reflect the fundamental tension in Hull’s season. The logistic regression model (calibrated) favours Hull at home with a 51.5% win probability, while the Poisson-based model gives Millwall a 39.6% chance of victory, with Hull at 33.8% and the draw at 26.6%. The conditional modal scoreline is 1-0 to Hull, but the Poisson expected goals (λh 1.18, λa 1.30) suggest Millwall are the more likely side to score, with the most likely scorelines being 1-1, 0-0, and 1-0. Underneath those probabilities, Hull’s expected goals tell a different story: 57.8 created against 75.9 conceded leaves them at -18.2, the weakest profile of any side in the top half of the table. The gap between actual and expected returns sits at roughly 22 goals — a profile the play-offs often surface. Historical play-off trends offer mixed signals: third-placed teams have won promotion nine times in 21 seasons, while sixth-placed sides have only done so once since 2004-05 (Blackpool in 2009-10). However, Hull boast a perfect 2/2 record in Championship play-offs, a quirk shared only with West Ham. The first-leg playbook shows that five clubs since 2004 have ground out a goalless leg and gone on to win promotion; the aggregate format rewards discipline over heroics. Millwall’s 11-8-4 record on the road — the firmest in the division — suggests they will be comfortable at the MKM, while Hull’s home defensive frailty (34 goals conceded) tilts further towards the visitors. On balance, the data leans towards Millwall, but the play-offs have a habit of rewarding neither cleanly. Hull’s path is narrow but not impossible — and that is precisely what makes this tie so compelling.

1X2 — model probabilities (leg 1)

The chart below shows the calibrated logistic-regression model’s read on Friday’s leg-1 1X2. The Poisson + Dixon-Coles goals model — which leans more heavily on goal-scoring rates — comes out the other way: Hull 33.8%, Draw 26.6%, Millwall 39.6%. The two-model gap is the honest summary of this match.

Conditional-modal scoreline

Taking the LR model’s most-likely outcome (Hull win) and selecting the most-likely scoreline from the Poisson + Dixon-Coles grid restricted to home-win cells, the conditional-modal prediction is 1-0 Hull. Lambdas: Hull 1.18, Millwall 1.30. The next two most probable Hull-win scorelines are 2-1 and 2-0.

How has the model been doing this season?

Track record across the full 25/26 Championship campaign:

The Verdict

The data leans Millwall: better xG profile, the firmest away record in the division, the third-place trend (9 of 21 play-off winners since 2004 finished third), the more controlled form. Hull’s case is narrower but pointed — a perfect 2/2 Championship play-off record, two 14-goal forwards who can change a game, and the aggregate format that rewards staying alive at the MKM and going to The Den with something to play for. Five clubs since 2004 have ground out a goalless leg and gone on to win promotion. If Hull are to do this, the model’s modal Hull-win scoreline is a 1-0 — survival over heroics. The broader Poisson distribution clusters tightly around 1-1, 0-1 and 1-0 with no single cell above 13%, so a draw or a narrow Millwall edge are both well within range.

Models: goals_logreg_v1_cal (Platt-calibrated logistic regression with player-rating features) and goals_poisson_v1 (Poisson + Dixon-Coles, ρ = +0.0173). BeyondThePrem does not provide betting advice; probabilistic reads are presented for analytical interest only.