Managers gamble on fresh legs for the shootout. Across 35 years of penalties, does the substitute gamble actually backfire?
It is a move we see more, not less. In an analytics era fixated on the highest-percentage option, managers increasingly send on a fresh, specialist taker in the dying minutes, purely for the shootout. On 29 June 2026 the Netherlands did exactly that, then watched substitute Justin Kluivert strike the post as they went out of the World Cup. England fans need no reminding of Euro 2020, when Marcus Rashford and Jadon Sancho came on in the 119th minute and both failed.
There is something quietly cruel about it. The player barely touches the game; a few minutes of cold legs, maybe one sprint, and then the whole tournament rests on his single kick. So does the gamble actually work? I built a dataset of 840 shootout kicks from 88 men's international shootouts (World Cup, Euros and Copa América, 1990–2026) to find out.
Before judging substitutes, we need the yardstick. Across all 840 kicks in the dataset, the overall conversion rate is 72.0% (95% confidence interval 68.9%–75.0%). Roughly three in four shootout penalties are scored, so missing is the exception. That is exactly why a missed sub stands out.
For scale: Lionel Messi, for many the greatest of all time, has converted about 78% of his career penalties (114 of 147, shootouts aside), barely above this shootout baseline. The spot-kick humbles almost everyone.
Line the groups up against the 72.0% baseline (dashed) and the pattern is stark: the further a taker sits from having started the match, the less often the kick goes in.
The late groups are subsets of all substitutes and carry small samples (dying-minute subs: n=20), so read them as indicative.
Each taker is labelled by how they got onto the pitch: a starter, or a substitute grouped by when they came on. The dashed line is the 72.0% overall baseline.
| Role | Kicks | Scored | Conversion | 95% CI |
|---|---|---|---|---|
| Starter | 486 | 354 | 72.8% | 68.7%–76.6% |
| Sub before 90' | 203 | 138 | 68.0% | 61.3%–74.0% |
| Sub 90–104' | 31 | 23 | 74.2% | 56.8%–86.3% |
| Sub in ET (105'+) | 35 | 20 | 57.1% | 40.9%–72.0% |
A few older Copa América matches lacked published lineup data; those kicks are counted in the baseline but excluded from the role split. Lineups for the live 2026 fixtures are taken from match reports.
It is not substitutes in general who falter. Across all subs the gap (67.3% vs 72.8% for starters) is only borderline. The effect concentrates in the players sent on late: extra-time substitutes convert just 57.1%, and the dying-minutes specialists brought on at 110'+ manage only 50.0%.
Because the hypothesis is directional (subs are predicted to do worse, not merely differently), the one-sided test is the relevant one; the stricter two-sided figure is shown too.
| Comparison | Conversion | two-sided p | one-sided p | Verdict |
|---|---|---|---|---|
| Starters vs all substitutes | 72.8% vs 67.3% | 0.108 | 0.054 | not significant |
| Starters vs extra-time subs (≥105') | 72.8% vs 57.1% | 0.046 | 0.023 | significant |
| Starters vs late subs (≥110', n=20) | 72.8% vs 50.0% | 0.026 | 0.013 | significant |
A logistic regression agrees: being a substitute multiplies the odds of scoring by 0.77 (95% CI 0.55–1.06, p = 0.108). A substitute's scoring odds are roughly 23% lower than a starter's. For comparison, published tournament studies put substitutes near 61% against 74% for starters.
Grouping substitutes by when they came on, conversion is noisy through normal time, but the players sent on in the final stretch (105–120') dip clearly below the 72.8% starter line (dashed).
The closest cases to the hypothesis: players introduced in extra time (105'+), often with the shootout in mind. As a group they scored 20 of 35 (57.1%).
| Player | Team | Tournament | On | Result |
|---|---|---|---|---|
| Fabián Balbuena | Paraguay | FIFA World Cup 2026 | 120' | ❌ Miss |
| Simone Zaza | Italy | UEFA Euro 2016 | 120' | ❌ Miss |
| Paulo Dybala | Argentina | FIFA World Cup 2022 | 120' | ✅ Scored |
| Badr Banoun | Morocco | FIFA World Cup 2022 | 119' | ❌ Saved |
| Marcus Rashford | England | UEFA Euro 2020 | 119' | ❌ Post |
| Jadon Sancho | England | UEFA Euro 2020 | 119' | ❌ Saved |
| Jamie Carragher | England | FIFA World Cup 2006 | 119' | ❌ Miss |
| Rodri | Spain | UEFA Euro 2020 | 118' | ❌ Saved |
| Thomas Strunz | Germany | UEFA Euro 1996 | 118' | ✅ Scored |
| Pablo Sarabia | Spain | FIFA World Cup 2022 | 117' | ❌ Post |
| Zeki Amdouni | Switzerland | UEFA Euro 2024 | 117' | ✅ Scored |
| Trent Alexander-Arnold | England | UEFA Euro 2024 | 114' | ✅ Scored |
| Justin Kluivert | Netherlands | FIFA World Cup 2026 | 113' | ❌ Miss |
| Mislav Oršić | Croatia | FIFA World Cup 2022 | 113' | ✅ Scored |
| Elano | Brazil | Copa América 2011 | 112' | ❌ Miss |
| Marcus Rashford | England | FIFA World Cup 2018 | 112' | ✅ Scored |
| Artem Milevskyi | Ukraine | FIFA World Cup 2006 | 111' | ✅ Scored |
| Marcus Thuram | France | UEFA Euro 2020 | 110' | ✅ Scored |
| Nadiem Amiri | Germany | FIFA World Cup 2026 | 110' | ✅ Scored |
| Walter Gargano | Uruguay | Copa América 2011 | 110' | ✅ Scored |
| Ivan Toney | England | UEFA Euro 2024 | 109' | ✅ Scored |
| Xherdan Shaqiri | Switzerland | UEFA Euro 2024 | 108' | ✅ Scored |
| Lorenzo Insigne | Italy | UEFA Euro 2016 | 108' | ✅ Scored |
| Milan Badelj | Croatia | FIFA World Cup 2018 | 107' | ❌ Saved |
| Henrik Larsson | Sweden men's | FIFA World Cup 1994 | 107' | ✅ Scored |
| Sylvain Wiltord | France | FIFA World Cup 2006 | 107' | ✅ Scored |
| Willian | Brazil | FIFA World Cup 2014 | 106' | ❌ Miss |
| Federico Bernardeschi | Italy | UEFA Euro 2020 | 106' | ✅ Scored |
| Marko Livaja | Croatia | FIFA World Cup 2022 | 105' | ❌ Post |
| João Félix | Portugal | UEFA Euro 2024 | 105' | ❌ Post |
| Josip Iličić | Slovenia | UEFA Euro 2024 | 105' | ❌ Saved |
| Gonzalo Montiel | Argentina | FIFA World Cup 2022 | 105' | ✅ Scored |
| Lovro Majer | Croatia | FIFA World Cup 2022 | 105' | ✅ Scored |
| Bradley Barcola | France | UEFA Euro 2024 | 105' | ✅ Scored |
| Thiago Alcântara | Spain | UEFA Euro 2020 | 105' | ✅ Scored |
Conversion is remarkably stable across competitions and decades, so the substitute effect is not an artefact of one tournament or period.
| Competition | Kicks | Conversion |
|---|---|---|
| FIFA World Cup | 303 | 67.3% |
| UEFA Euro | 209 | 73.7% |
| Copa América | 328 | 75.3% |
| Decade | Kicks | Conversion |
|---|---|---|
| 1990s | 231 | 79.2% |
| 2000s | 143 | 69.9% |
| 2010s | 252 | 72.6% |
| 2020s | 214 | 65.0% |
A substitute is not a random starter, so part of the gap may reflect player quality rather than cold legs alone. But it often cuts the other way: the late sub is frequently a designated specialist, sent on precisely because he is one of the squad's best takers with a strong record in normal play. That even these specialists miss more here points at the conditions (a long wait, then one cold and decisive kick) rather than the player. Either way the data is observational, so the pattern is real but not proof that the substitution itself is the cause.
This analysis covers shootout penalties only. In-play penalties, taken in open play rather than a shootout, convert a touch higher (around 75% historically) and carry different pressures. Everything here is shootout-specific.
840 shootout kicks from 88 men's international shootouts (FIFA World Cup, UEFA Euros, Copa América), 1990–2026. Each taker is classified as a starter or a substitute, with the substitute's minute of entry, by joining the shootout result to the match lineups.
Two sources. StatsBomb open data (event-level data with exact substitution minutes) is the ground truth for recent tournaments. Wikipedia knockout-stage pages, which carry both the shootout box and full lineups with substitution minutes, provide the historical coverage. The Wikipedia parser was validated against StatsBomb on the 18 shootouts present in both sources, matching 100% on outcome sequences and substitute counts.
Confidence intervals use the Wilson method; group comparisons use a two-proportion z-test (one- and two-sided) supported by a logistic regression. Lineups for the live 2026 fixtures were taken from published match reports; a handful of older Copa América matches still lacked lineup data and are counted in the baseline but excluded from the starter-vs-substitute split. The 2026 World Cup is ongoing, so figures are a snapshot.