Arsenal Expected Assists (xA) by Player: Creative Output

Expected Assists (xA) has become a cornerstone metric for evaluating creative output in modern football analytics. Unlike raw assist counts, which depend heavily on a finisher’s conversion rate, xA measures the quality of a chance created based on the probability that a given pass leads to a goal. For Arsenal FC, tracking xA by player reveals which individuals consistently manufacture high-danger opportunities, independent of whether those chances are finished. This article dissects the Gunners’ creative hierarchy through the lens of expected assists, examining season-to-date data, positional trends, and the tactical implications for Mikel Arteta’s system.

The Foundation of Expected Assists

Expected Assists assigns a value between 0 and 1 to each pass that directly precedes a shot, with the score reflecting the likelihood of that shot resulting in a goal based on historical data. A pass that sets up a tap-in from two yards carries an xA near 0.90, while a cross from deep that leads to a speculative 25-yard effort might register only 0.03. The sum of these values across a player’s passes provides a more stable measure of creative output than raw assists, which can fluctuate wildly due to finishing variance.

For Arsenal, this metric is particularly instructive. The club’s attacking philosophy under Arteta emphasizes structured possession, overloads in wide areas, and precise entry passes into the final third. Players who excel in this framework—whether through through balls, cutbacks, or crosses—tend to generate higher xA totals even when their assist numbers lag. Conversely, a player with several assists but modest xA may have benefited from exceptional finishing rather than consistently creating high-quality chances.

Creative Leaders in the Current Squad

Martin Ødegaard consistently leads Arsenal in xA, a reflection of his role as the primary playmaker in central areas. His ability to receive between the lines, turn, and play incisive passes into the box generates high-value chances, particularly for runners from the flanks. Bukayo Saka, operating from the right wing, combines dribbling penetration with crossing accuracy; his xA per 90 of 0.28 places him among the top wide players in the Premier League. Leandro Trossard, while used more flexibly across the front line, posts a strong xA per 90 figure, underscoring his efficiency in limited minutes.

Positional Patterns and Tactical Roles

Arsenal’s creative distribution follows clear positional patterns. The attacking midfield role, occupied by Ødegaard and occasionally Trossard, accounts for the highest concentration of xA, as these players operate in the half-spaces where through balls and cutbacks become viable. Wide players—Saka, Martinelli, and Reiss Nelson—generate xA primarily through crosses and pull-backs from the byline, with Saka’s left-footed deliveries from the right flank producing particularly dangerous angles.

Declan Rice and Thomas Partey contribute lower xA totals but serve a different creative function: progression through the thirds. Their passes—often switch balls to the opposite flank or vertical entries to the attacking midfielders—set the stage for higher-xA actions later in the sequence. This distinction highlights why raw xA alone does not capture a player’s full creative value; the pre-assist pass, which precedes the chance-creating pass, often originates from deeper positions.

Variance and Reliability: xA vs. Assists

The gap between expected assists and actual assists can reveal finishing luck—or lack thereof. A player with xA significantly higher than assists has been let down by poor finishing; one with assists exceeding xA has benefited from clinical conversion. For Arsenal, several players exhibit notable discrepancies.

Ødegaard’s assist total slightly exceeds his xA, but the margin is small enough to suggest sustainable performance. Saka’s overperformance is similarly modest. The more significant story lies in players whose xA outpaces their assists—those who create quality chances that are not converted. This group includes Emile Smith Rowe, whose limited minutes have produced an xA per 90 of 0.22 but only one assist, and Jorginho, whose set-piece deliveries have generated 0.15 xA per 90 with no assists from open play.

Set-Piece Contributions and Contextual Factors

Set pieces represent a distinct creative channel, with xA values often higher than open-play passes due to the proximity to goal and the frequency of headers from close range. Arsenal’s set-piece delivery has improved under Nicolas Jover, with Saka, Ødegaard, and Rice sharing corner and free-kick duties. Saka’s inswinging corners to the near post have generated multiple high-xA opportunities, while Ødegaard’s delivery from deep free kicks has created chances for the central defenders.

Set-piece xA accounts for roughly 15–20% of Arsenal’s total creative output, a proportion consistent with Premier League averages. However, the quality of delivery matters: Saka’s corners produce xA per attempt 20% higher than the league mean, reflecting the precision of his service. This contextual factor is important when evaluating a player’s overall creative contribution, as set-piece xA is more dependent on the delivery than on the movement of the attackers.

Depth and Rotation: Creative Output Across the Squad

Arsenal’s squad depth in creative positions has improved significantly, but the distribution of xA remains concentrated. The top three creators—Ødegaard, Saka, and Trossard—account for over 60% of the team’s total xA from open play. This concentration carries risks: if Ødegaard is marked out of a match or Saka suffers an injury, the creative burden falls on players with lower per-minute output.

Smith Rowe’s xA per 90 of 0.22, second only to Ødegaard among midfielders, suggests he could provide more creative output if given consistent minutes. His ability to carry the ball into central areas and play through balls from the left half-space offers a different dimension to Trossard’s more direct approach. Similarly, Fabio Vieira, despite limited appearances, has posted an xA per 90 of 0.20, indicating potential that has yet to be fully realized.

Implications for Arteta’s Tactical Setup

The xA data reinforces several tactical observations about Arsenal’s attack. First, the team’s creative strength lies in central areas and the right flank, with Ødegaard and Saka forming a partnership that generates high-value chances. Opponents who successfully double-team Saka or sit deep to block Ødegaard’s passing lanes can significantly reduce Arsenal’s xA output, as seen in matches against compact defenses.

Second, the left wing remains a relative creative weakness. Martinelli’s xA per 90 of 0.18 is lower than Saka’s, and his assist numbers have fluctuated. This asymmetry has led Arteta to experiment with Trossard on the left, where his higher xA per 90 (0.25) provides more consistent chance creation. The emergence of a left-sided creative option could balance Arsenal’s attack and make the team less predictable.

Third, the deep midfielders’ low xA totals are by design. Arteta’s system prioritizes ball retention and progression over direct creation from deep, with Rice and Partey tasked with recycling possession and finding the advanced creators. This approach works when the front four are in form, but it creates a dependency on their individual brilliance. Adding a midfielder capable of high-xA passes from deep—a player who can break lines with through balls or switches—could provide an additional creative layer.

Risks and Limitations of xA as a Metric

While xA offers valuable insight, it carries inherent limitations. The metric does not account for the difficulty of the pass itself—a simple square ball to a player with a clear shot carries the same xA as a threaded through ball that requires exceptional technique, provided the resulting shot has equal probability of scoring. This means that players who execute difficult passes may be undervalued by xA if those passes lead to shots with moderate xG.

Additionally, xA does not capture pre-assist passes, which are often crucial to the attacking sequence. A switch ball from Rice that finds Saka in space, followed by a cross that leads to a goal, assigns the xA to the cross alone, ignoring the value of the switch. This limitation is partly addressed by metrics like shot-creating actions, which credit any pass that leads to a shot, but xA remains the standard for chance quality.

Finally, small sample sizes can mislead. A player with 500 minutes and an xA per 90 of 0.30 may have benefited from a few high-quality chances created in a short span, while a player with 2,000 minutes and 0.20 xA per 90 may be more reliable. Context—minutes played, role, opposition quality—must accompany any xA analysis.

Arsenal’s expected assist data paints a clear picture of a team whose creative output is concentrated in a few key players, particularly Martin Ødegaard and Bukayo Saka. Their ability to generate high-quality chances consistently forms the backbone of the Gunners’ attack, while players like Leandro Trossard and Emile Smith Rowe offer valuable depth. The positional asymmetry—strong on the right, less so on the left—represents an area for tactical development, whether through player development, rotation, or recruitment.

For fans and analysts tracking Arsenal’s creative performance, xA provides a more reliable measure than raw assists, filtering out the noise of finishing variance. By monitoring xA per 90 across the squad, one can identify which players are truly creating opportunities and which are merely beneficiaries of clinical finishing. As the season progresses, shifts in xA distribution may signal tactical adjustments, injury impacts, or the emergence of new creative threats.

For further reading on Arsenal’s statistical profile, explore our analysis of offside timing patterns and scoring streaks, or return to the match player stats hub for additional performance metrics.