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As of round 17 Race · updated 10/13/2026, 07:18 PM (Japan time)

Riders

Elia Bartolini (photo from Wikimedia Commons)
Giagius · CC BY-SA 4.0 · 2019 · Wikimedia Commons

Elia Bartolini

Nationality
Italy Italy
Number
23
Team (2022 Moto3)
QJMotor Avintia Racing Team
Bike
KTM
Born
July 31, 2003(age 23)

Birth date and place from the official rider profile

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Career

Made a Grand Prix debut in Moto3 at Misano in 2019.

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In Moto3 (2019–2022): 27 starts, 0 wins, 0 podiums. Teams: Sky Junior Team VR46, Team Bardahl VR46 Riders Academy, Avintia Esponsorama Moto3, Bardahl VR46 Riders Academy, QJMotor Avintia Racing Team.

In all, 27 Grand Prix starts, 0 wins and 0 podiums (within the official results database).

Written automatically from the official results database (no opinions about the rider)

Season by season

Moto3 ★ Champion

110203020192020202120222019 Moto3: P34 / 1 pts / 0 wins2021 Moto3: P27 / 7 pts / 0 wins2022 Moto3: P22 / 27 pts / 0 winsMoto3

The strip shows each year's team (team colour). Tap for team and machine

Scope: official results DB, 2019–2022 (the rider's racing years)

Totals

Moto32019–2022
Win rate0.0%
Podium rate0.0%
Average finish (when classified)avg P16.0

35 pts · Poles 0

Points are counted per class, never added across classes. Tap a number for the list of races | Scope: official results DB, 2019–2022 (the rider's racing years)

Against the greats, and the class of their debut

Grand Prix debut in 2019. Of the 22 riders who debuted that year, 3 also raced in 2026.

Greats: 2+ world titles or 30+ MotoGP・500cc wins. Up to 4 who shared 10+ races, most titles first. A finisher counts as ahead of a non-finisher.

Results by condition (races)

Moto3 27 races · 2019–2022

Dry / wetSmall sample

Podium rate: 0.0% dry, 0.0% wet

Win rate
Dry26 races0%(0 wins)
Wet1 races0%(0 wins)
Podium rate
Dry26 races0%(0 podiums)
Wet1 races0%(0 podiums)
Average finish (when classified)
Dry26 racesavg P16.0
Wet1 racesavg P16.0

By grid positionSmall sample

average grid average finish (classified)

15101520Starting Grid 10–15: average grid 13.0 → average finish 8.0 (1 races, 0 wins)Grid 10–15Starting Grid 16〜: average grid 23.8 → average finish 16.3 (25 races, 0 wins)Grid 16〜
Grid 10–1513.0 → 8.00 wins / 1 races
Grid 16〜23.8 → 16.30 wins / 25 races

By circuit (best average first)Small sample

Best circuit: Misano (average P15.0, 3 races)

Mandalika1 racesavg P8.0
Termas1 racesavg P11.0
Sachsenring2 racesavg P13.0
Sepang1 racesavg P13.0
Mugello2 racesavg P14.0
Misano3 racesavg P15.0
Catalunya2 racesavg P15.0
Assen2 racesavg P16.0
Jerez1 racesavg P16.0
Le Mans1 racesavg P16.0
Silverstone1 racesavg P16.0
Motegi1 racesavg P16.0
Valencia1 racesavg P17.0
Buriram1 racesavg P18.0
Lusail1 racesavg P18.0
COTA1 racesavg P19.0
Portimão1 racesavg P19.0
Aragón1 racesavg P20.0
Phillip Island1 racesavg P20.0
Red Bull Ring2 racesavg P21.5

Moto3: all in the Dunlop era.

Fewer than 30 races: small sample (dashed). Average finish counts classified finishes only | Scope: official results DB, 2019–2022 (the rider's racing years)

Distance ridden and distance travelled

Counted from 1949 (lap lengths before 1998 researched from published sources: estimates)

Ridden on the bike

at least 1,516 miles
0.1× around the Earth · 531 laps

Time on the bike: at least 68 hours (2.8 days)
Average 140.8 km/h, top 247.9 km/h
Time and average speed only from 2019–2022, the seasons with every session's lap analysis

Travelled between circuits

at least 59,102 miles
2.4× around the Earth · at least 5.5 days

From 1949. Every session in the seasons with the lap analysis documents, races only before. Tests not included. Laps × that year's lap length.A minimum, calculated from straight-line distances between circuits. Connections, tests and trips home are not included, so the real figures are longer.

Every race

100%Start rate (20/20)
0Longest run of absences (races)
20Longest run of starts (races)
0Estimated points lost to absences
1Win3Podium8Points18No pointsRRetired–Absent
2022 Moto3 P22 · 27 pts

Tap a cell for the event, qualifying, sprint and race results and points

? How the estimate is made

Estimate = average of the last 3 races before each absence

Seasons in which at least half of the races were started | Scope: official results DB, 2019–2022 (the rider's racing years)

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