AS Roma vs Atalanta: result, lineups & analysis — Serie A
📋 Overview
Confidence 4/5Roma arrive with a clear edge in volume, form and home advantage, and the setup points to a home win in a game featuring at least three goals.
Roma have won their last six matches, scoring 19 goals and conceding two, while Atalanta’s recent record is more uneven, with seven goals scored and five conceded. The Poisson model projects 2.39 to 0.72 in expected goals and gives Roma a larger edge than the market, although absences and personnel changes on both sides could open up space.
📌 Analysis direction
The clearest direction is Roma’s territorial and creative superiority, supported by the large gap in xG and shots. Even so, defensive absences and the mismatch between the recent run and the low number of goals conceded suggest a more open game than a fully controlled Roma performance.
🔑 Key points
Roma lead the production indicators
The home side average 3.06 xG and 16 shots, compared with Atalanta’s 0.52 xG and ten shots. That gap suggests Roma should control more territory and create the higher-quality chances.
Recent form matters, but the sample is small
Roma come in on a six-match winning streak, with a 19-2 goal difference and only two goals conceded in the available sample. Atalanta’s record is WWDLWD, with a 7-5 goal split; with the season only just under way, the sample still needs to be adjusted for opposition strength.
Market and Poisson agree on direction, not intensity
The market gives Roma an implied probability of 55.3%, compared with 25.6% for the draw and 19.1% for Atalanta. The model gives Roma a 74% chance of winning and a 60% chance of over 2.5 goals, above the market’s projected 49% for that total.
The absences mainly affect structure
Roma are without Ndicka, Rensch, Bah and Pellegrini; Atalanta are missing Hien, Kristensen and Sulemana. Without confirmed line-ups, the precise impact depends on the replacements, but incomplete availability and structural changes could reduce protection in key areas and increase the chance of a game above 2.5 goals.
The table is not yet a reliable motivation indicator
The season is still in its early stages and the standings are not representative. Both teams have a record of two wins and no defeats in the available season sample, so Roma’s advantage comes more from home advantage, attacking output and recent form than from a clear gap in the table.
⚖️ Edges & risks per team
- +An average of 3.06 xG and 16 shots gives Roma a clear edge in chance creation, particularly against an Atalanta side recording only 0.52 xG and ten shots.
- +A run of six wins, 19 goals scored and only two conceded gives Roma the confidence to sustain pressure even without Pellegrini, provided creation is redistributed between the two attacking midfielders in the 3-4-2-1.
- +The Poisson model projects 2.39 goals for the home side and a 74% win probability, considerably above the 55.3% priced by the market. That reinforces the expectation of Roma control, although it does not remove the uncertainty of the early season.
- +Gasperini has 23 years of coaching experience, six clubs managed and 14 months in his current role; that experience should help him adapt the 3-4-2-1 to the losses of Ndicka and Rensch without abandoning aggressive wing-back play.
- −The absences of Ndicka and Rensch remove pace and cover from the last line. If both wing-backs advance together, Atalanta can attack the channels in transition.
- −Pellegrini’s absence reduces the quality of between-the-lines passing and set pieces; Roma may have more possession without turning all of it into clear chances.
- −Atalanta’s 4-3-3 can pin back Roma’s wing-backs and force the home side to defend a high volume of crosses or wide attacks, particularly if Roma lose the ball in midfield.
- −Referee Colombo averages 2.8 goals per game and has recorded 67% BTTS in the available data, a signal that does not fit an expectation of complete defensive control despite Roma’s recent record.
- +The 4-3-3 used in 100% of matches provides clear references for pressing Roma’s back-three build-up and attacking the space left by the wing-backs.
- +Atalanta have two wins and no defeats this season, averaging 1.5 goals scored and 0.5 conceded in the available sample. That provides a competitive foundation, even against a more productive Roma side.
- +The absences of Ndicka and Rensch could give the front three a route to attack Roma’s last line at speed. Atalanta’s attacking volume is low in the model, but transition play is their best way to challenge the home favourite.
- +Ederson has said he remains committed to Atalanta and believes they can improve on last season. That points to a positive internal environment, although it cannot replace evidence of performance on the pitch.
- −The 0.52 xG and ten-shot average suggest Atalanta may struggle to sustain long attacks against a Roma side that have conceded only two goals in the recent sample.
- −Hien and Kristensen being unavailable reduces the options for defending the box and controlling depth. Against Roma’s two between-the-lines players and aggressive wing-backs, this could create local overloads in wide areas.
- −Sulemana’s absence removes an outlet for speed and ball carrying under pressure. If Atalanta do not win the first duel after regaining possession, they may become too deep.
- −Juric has 13 years of coaching experience and has managed nine clubs, but has been in his current role for only around 13 months. Atalanta’s personnel turnover, including the departures of Djimsiti, de Roon and Touré, could affect the coordination of a 4-3-3 that needs precise pressing.
📐 Tactical analysis
Roma should retain the 3-4-2-1 used in 100% of their matches, with two attacking midfielders behind the striker and wing-backs providing width. Atalanta have used a 4-3-3 in every game, a shape that can press the build-up but may also leave space behind the full-backs once the first wave is beaten. The central battle will be between Roma’s back-three build-up and the ability of Atalanta’s front three to attack the channels. With 3.06 xG and 16 shots against 0.52 and ten from their opponents, Roma have stronger grounds for pushing the game into the attacking half; however, the absences of Ndicka and Rensch reduce their margin for controlling transitions.
📊 Market expectation (1X2)
Market heat 🔥🔥🔥🔥Odds movement ±6pts
Market read：The market makes Roma favourites, with a 55.3% implied probability, while Atalanta are priced at 19.1%. The Poisson model is more bullish on the home side, giving Roma a 74% chance of winning and identifying 2-0, 1-0 and 3-0 as the likeliest scores, while projecting a 60% chance of over 2.5 goals against 49% in the market. The goals discrepancy is the key point: the volume numbers favour a more open match than average pricing suggests, but the early-season sample is thin and recent form may be distorted by the quality of the opposition.
De-vigged implied probability · for analysis only, not betting advice.
📐 Statistical score reference
Poisson reference based only on season goal averages. It is not the full-analysis prediction or betting advice.
🎓 Coaches / Formations
Coaches & tactical battle：G. Gasperini, 67, has 23 years of coaching experience and six clubs on his CV; Roma’s stable 3-4-2-1, used in 100% of their matches, aligns with their 3.06 xG output and aggressive wide profile. I. Juric, 50, has 13 years in management and has coached nine clubs, tending to use the 4-3-3 to press and accelerate transitions, but Atalanta’s 0.52 xG suggests their attacking execution has been less consistent. The key contest is between Roma’s wing-backs and the full-backs in the 4-3-3: if the visitors push up to press, they leave room for Roma’s two attacking midfielders to receive centrally; if they drop off, they concede territory to the wing-backs. With Ndicka, Rensch, Hien and Kristensen unavailable, control of space behind the press and second balls becomes even more important, while Pellegrini’s absence affects Roma’s creativity.
🔬 Advanced data (averages)
Per-game averages in this competition · FootyStats / API-Football
🚩 Corners & special markets
Roma average 1.5 corners in the advanced data, and their wing-back structure points to wide attacks and crosses, but that figure is too low on its own to support expectations of a high corner count. Atalanta average 2.5 corners and could reach that market particularly by exploiting the space left by Roma’s wing-backs; overall, the dynamics support goals and BTTS more than an aggressive corners line.
X-factors
- ▸The replacement for Ndicka or Hien could alter the balance of second-post attacks and transitions.
- ▸Roma have conceded only two goals in the recent sample, but the absence of three defensive or supporting players will test that solidity.
- ▸Atalanta’s approach in the first pressing line will determine whether Roma’s 3-4-2-1 can build cleanly to release the wing-backs.
What to watch
- ▸How Roma cover the channels without Rensch and Ndicka.
- ▸Whether Atalanta can turn their 4-3-3 into a high press or drop back to protect the box.
- ▸Pellegrini’s involvement in creation, and who takes over his set pieces and between-the-lines passing.
📈 Recent form
- 2026-09-05 · (H) 2–1 vs Atalanta
- 2026-08-31 · (A) 4–0 vs Lecce
- 2026-08-24 · (H) 4–0 vs Fiorentina
- 2026-05-24 · (A) 2–0 vs Hellas Verona
- 2026-05-17 · (H) 2–0 vs Lazio
- 2026-09-05 · (A) 1–2 vs AS Roma
- 2026-08-31 · (H) 1–0 vs Bologna
- 2026-08-23 · (H) 2–1 vs Sassuolo
- 2026-05-22 · (A) 1–1 vs Fiorentina
- 2026-05-17 · (H) 0–1 vs Bologna
🆚 Head-to-head
- 2026-09-05 · AS Roma 2–1 Atalanta
- 2026-04-18 · AS Roma 1–1 Atalanta
- 2026-01-03 · Atalanta 1–0 AS Roma
🧑⚖️ Referee
A. Colombo
Referee averages in this competition · 16 games · PK Sport
Colombo averages 2.8 goals per game and 67% BTTS in the available data, with no figures provided for cards or penalties. That profile is more compatible with a match in which Atalanta can find transitions after Roma lose possession than with a tight, low-scoring game, but the referee data is insufficient to assess discipline or influence on set pieces.
✅ Confirmed lineups · AS Roma [3-4-1-2]
API-Football · 5 Sept 2026, 18:36 UTC
- 99M. Svilar
- 23G. Mancini
- 5E. Ndicka
- 22Hermoso
- 77E. Lulli
- 4B. Cristante
- 17M. Koné
- 43Wesley
- 86Rodrigo Mora
- 14D. Malen
- 21P. Dybala
✅ Confirmed lineups · Atalanta [4-3-3]
API-Football · 5 Sept 2026, 18:36 UTC
- 29M. Carnesecchi
- 16R. Bellanova
- 3O. Kossounou
- 42G. Scalvini
- 23S. Kolašinac
- 10L. Samardžić
- 70G. Gaetano
- 13Éderson
- 17C. De Ketelaere
- 9G. Scamacca
- 99E. Elmas
🚑 Injuries / Absences
- outM. Bah· Squad player, with no specific role identified in the data
Without an official line-up or confirmation of his role, the absence removes a rotation option but does not support assigning a larger structural impact.
- outL. Pellegrini· Attacking midfielder and key between-the-lines link player
Roma may lose vertical passing, set-piece quality and second-line runs, placing greater creative responsibility on the two attacking midfielders in the 3-4-2-1.
- outD. Rensch· Wing-back or supporting full-back providing cover on the right
Roma lose pace in pressing and recovering the right channel, which could open space for Atalanta’s winger and full-back.
- outM. Bah· Squad player, with no specific role identified in the data
Without an official line-up or confirmation of his role, the absence removes a rotation option but does not support assigning a larger structural impact.
- outL. Pellegrini· Attacking midfielder and key between-the-lines link player
Roma may lose vertical passing, set-piece quality and second-line runs, placing greater creative responsibility on the two attacking midfielders in the 3-4-2-1.
- outD. Rensch· Wing-back or supporting full-back providing cover on the right
Roma lose pace in pressing and recovering the right channel, which could open space for Atalanta’s winger and full-back.
- outI. Hien· Physical centre-back and reference marker
Without Hien, Atalanta may find it harder to defend the centre of the box and duels against Roma’s striker.
- outK. Sulemana· Pacy winger or forward for transition attacks
The loss of acceleration removes a direct outlet under pressure and may leave Atalanta reliant on more elaborate attacks in the 4-3-3.
- outI. Hien· Physical centre-back and reference marker
Without Hien, Atalanta may find it harder to defend the centre of the box and duels against Roma’s striker.
- outK. Sulemana· Pacy winger or forward for transition attacks
The loss of acceleration removes a direct outlet under pressure and may leave Atalanta reliant on more elaborate attacks in the 4-3-3.
⚡ Key intel: favorable & unfavorable factors
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- + FavorableÉderson is not injured, has extended his contract with Atalanta until 2031 and confirmed that he will remain at the club. The midfielder’s availability and motivation preserve an important piece of the Nerazzurri’s midfield balance.
- − UnfavorableMaurizio Sarri acknowledged an “alert” at wing-back, treating it as a contingent situation while the club continues to assess potential reinforcements. The shortage could limit options out wide and affect the width of Atalanta’s system.
AI-curated from all collected news: only facts likely to affect the result.
📰 Recent news
- B★★★★
- C★★★
- C★★★
Only intel rated ≥3★ impact is shown.
🧭 Final integrated verdict
Roma have the strongest combination of home advantage, attacking output and momentum: six straight wins, 19 goals scored and only two conceded in the available sample, alongside averages of 3.06 xG and 16 shots. Atalanta have a fixed structure, two early-season wins and an experienced coach, but their advanced data shows only 0.52 xG and ten shots, while their recent goal record is 7-5. Absences and personnel changes on both sides mean Roma’s strong defensive record should not be treated as a guarantee, and they favour a game with more transitions than the market suggests. The Poisson model agrees with a Roma win and sees a 60% chance of over 2.5 goals, above the market’s 49%; that gap is consistent with Roma’s attacking volume and the potential fragility of their defensive replacements. The final call is a Roma win and over 2.5 goals.
🎯 Analysis decision
The conclusion combines competition context, team traits, form, tactics, availability, match intel, graded lessons and market/model references.
Analysis based on public data and market signals. For analysis only — not betting advice.
Data: Sportmonks / API-Football · pksport.net