Managers gamble on fresh legs for the shootout. Across 35 years of penalties, does the substitute gamble actually backfire?
It's a move we see more, not less. In an analytics era chasing 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 hit the post and go out of the World Cup. England fans remember Euro 2020: Rashford and Sancho, on in the 119th minute, both missed.
There's something cruel about it. The player barely touches the game, then the whole tournament rests on his one kick.
So does the gamble work? I built a dataset of 840 shootout kicks from 88 men's international shootouts (World Cup, Euros, Copa América; 1990–2026) to find out.
First, the yardstick. Across all 840 kicks, the overall conversion rate is 72.0% (95% CI 68.9%–75.0%).
Roughly three in four shootout penalties are scored. Missing is the exception, which is exactly why a missed sub stands out.
For scale: even Lionel Messi has converted about 78% of his career penalties (114 of 147, shootouts aside), not far above this baseline. The spot-kick humbles almost everyone.
Line the groups up against the 72.0% baseline (dashed). All substitutes dip only slightly; it's the dying-minute subs, sent on at 110'+, who fall away.
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% |
| Specialist takers (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's not substitutes in general who falter. Across all subs, the gap (67.3% vs 72.8% for starters) is only borderline.
The effect sits with the specialist takers, sent on at 105'+ largely to take a kick. They convert just 57.1%, and the most extreme, on at 110'+, only 50.0%.
Since the hypothesis is directional, subs predicted to do worse, the one-sided test is the relevant one; the 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 specialist takers (≥105') | 72.8% vs 57.1% | 0.046 | 0.023 | significant |
| Starters vs dying-minute 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.
Fresh legs aren't the problem. Substitutes who come on with time to settle hold up fine, including those sent on early in extra time (90–104'). Only at 105'+, with barely a touch before the kick, does the line drop below the 72.8% starter mark (dashed).
The closest cases to the hypothesis: every taker sent on at 105'+, often with the shootout in mind. As a group they scored 20 of 35 (57.1%).
Yet these are, on the whole, good penalty takers. In open play, the 29 with a career record convert 88% (459/523) — several with flawless records (Sarabia, Sancho, Willian) still missed here. That gap, 88% in normal play versus 57.1% in the shootout, is the point.
| Player ↕ | Team ↕ | Tournament ↕ | On ↕ | Result ↕ | Career pens ↕ | Conv. ↕ |
|---|---|---|---|---|---|---|
| Fabián Balbuena | Paraguay | FIFA World Cup 2026 | 120' | ❌ Miss | no data | — |
| Simone Zaza | Italy | UEFA Euro 2016 | 120' | ❌ Miss | 4/4 | 100% |
| Paulo Dybala | Argentina | FIFA World Cup 2022 | 120' | ✅ Scored | 43/49 | 88% |
| Badr Banoun | Morocco | FIFA World Cup 2022 | 119' | ❌ Saved | 10/13 | 77% |
| Marcus Rashford | England | UEFA Euro 2020 | 119' | ❌ Post | 21/23 | 91% |
| Jadon Sancho | England | UEFA Euro 2020 | 119' | ❌ Saved | 3/3 | 100% |
| Jamie Carragher | England | FIFA World Cup 2006 | 119' | ❌ Miss | no data | — |
| Rodri | Spain | UEFA Euro 2020 | 118' | ❌ Saved | 3/3 | 100% |
| Thomas Strunz | Germany | UEFA Euro 1996 | 118' | ✅ Scored | 4/5 | 80% |
| Pablo Sarabia | Spain | FIFA World Cup 2022 | 117' | ❌ Post | 12/12 | 100% |
| Zeki Amdouni | Switzerland | UEFA Euro 2024 | 117' | ✅ Scored | 7/7 | 100% |
| Trent Alexander-Arnold | England | UEFA Euro 2024 | 114' | ✅ Scored | no data | — |
| Justin Kluivert | Netherlands | FIFA World Cup 2026 | 113' | ❌ Miss | 7/8 | 88% |
| Mislav Oršić | Croatia | FIFA World Cup 2022 | 113' | ✅ Scored | 9/11 | 82% |
| Elano | Brazil | Copa América 2011 | 112' | ❌ Miss | 27/30 | 90% |
| Marcus Rashford | England | FIFA World Cup 2018 | 112' | ✅ Scored | 21/23 | 91% |
| Artem Milevskyi | Ukraine | FIFA World Cup 2006 | 111' | ✅ Scored | 3/4 | 75% |
| Marcus Thuram | France | UEFA Euro 2020 | 110' | ✅ Scored | 5/6 | 83% |
| Nadiem Amiri | Germany | FIFA World Cup 2026 | 110' | ✅ Scored | 16/18 | 89% |
| Walter Gargano | Uruguay | Copa América 2011 | 110' | ✅ Scored | no data | — |
| Ivan Toney | England | UEFA Euro 2024 | 109' | ✅ Scored | 58/62 | 94% |
| Xherdan Shaqiri | Switzerland | UEFA Euro 2024 | 108' | ✅ Scored | 26/34 | 76% |
| Lorenzo Insigne | Italy | UEFA Euro 2016 | 108' | ✅ Scored | 45/56 | 80% |
| Milan Badelj | Croatia | FIFA World Cup 2018 | 107' | ❌ Saved | 1/1 | 100% |
| Henrik Larsson | Sweden men's | FIFA World Cup 1994 | 107' | ✅ Scored | 36/36 | 100% |
| Sylvain Wiltord | France | FIFA World Cup 2006 | 107' | ✅ Scored | 6/6 | 100% |
| Willian | Brazil | FIFA World Cup 2014 | 106' | ❌ Miss | 9/9 | 100% |
| Federico Bernardeschi | Italy | UEFA Euro 2020 | 106' | ✅ Scored | no data | — |
| Marko Livaja | Croatia | FIFA World Cup 2022 | 105' | ❌ Post | 37/44 | 84% |
| João Félix | Portugal | UEFA Euro 2024 | 105' | ❌ Post | 10/11 | 91% |
| Josip Iličić | Slovenia | UEFA Euro 2024 | 105' | ❌ Saved | 32/40 | 80% |
| Gonzalo Montiel | Argentina | FIFA World Cup 2022 | 105' | ✅ Scored | 8/9 | 89% |
| Lovro Majer | Croatia | FIFA World Cup 2022 | 105' | ✅ Scored | 16/17 | 94% |
| Bradley Barcola | France | UEFA Euro 2024 | 105' | ✅ Scored | 0/1 | 0% |
| Thiago Alcântara | Spain | UEFA Euro 2020 | 105' | ✅ Scored | 1/1 | 100% |
Tip: click any column header to sort. Career pens = a player's open-play penalties (scored/taken) and conversion rate, mostly Transfermarkt/FootyStats as of ~2026 — hover for the source. These are career totals (not point-in-time before the kick) and exclude shootout penalties, which aren't tracked per player. Coverage is patchy for some (FBref was unreachable to cross-check; a few, like Bernardeschi, take penalties but have no clean figure), so read the numbers as indicative, not audited.
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. Part of the gap may reflect player quality, not just cold legs.
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 open play.
That even these specialists miss more often suggests the conditions (a long wait, then one cold, decisive kick) matter more than the player. Either way this is observational data: the pattern is real, but it does not prove 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.
Like this report? This is what I do for a living. Same method, usually pointed at revenue data instead of goals: lead scoring, pipeline analysis, forecasting for B2B companies. If your CRM has questions sitting in it, let's talk.