Database

Gravel Rankings

Ranked by ORI Score — an Elo-style rating computed from every graded gravel race in the database, weighted by how much that race counts. Full methodology below.

Current · Last 12 Months2026202520242023202220212019
EliteAmateur
Elite Men
1🇺🇸 Keegan Swenson1087 ORI Score
12 races
2🇿🇦 Matthew Beers1086 ORI Score
10 races
3🇨🇿 Petr Vakoc1072 ORI Score
10 races
4🇺🇸 Alexey Vermeulen1068 ORI Score
12 races
5🇨🇭 Simon Pellaud1066 ORI Score
7 races
6🇺🇸 Cameron Jones1061 ORI Score
11 races
7🇩🇰 Magnus Bak Klaris1055 ORI Score
8 races
8🇺🇸 Bradyn Lange1050 ORI Score
11 races
9🇦🇺 Brendan Johnston1049 ORI Score
5 races
10🇺🇸 Cobe Freeburn1049 ORI Score
10 races
11🇺🇸 Zach Calton1041 ORI Score
9 races
12🇳🇿 Caleb Bottcher1038 ORI Score
8 races
13🇨🇦 Andrew L’esperance1036 ORI Score
9 races
14🇺🇸 Peter Stetina1035 ORI Score
9 races
15🇳🇿 Matthew Wilson1035 ORI Score
9 races
16🇮🇹 Ethan Overson1031 ORI Score
7 races
17🇳🇱 Adne Koster1030 ORI Score
6 races
18🇺🇸 Griffin Hoppin1030 ORI Score
11 races
19🇨🇦 Adam Roberge1027 ORI Score
8 races
20🇨🇦 Benjamin Perry1026 ORI Score
6 races
21🇺🇸 Cole Paton1025 ORI Score
10 races
22🇺🇸 Chad Haga1025 ORI Score
9 races
23🇳🇱 Jasper Ockeloen1025 ORI Score
6 races
24🇺🇸 Daxton Mock1023 ORI Score
10 races
25🇺🇸 Chase Wark1023 ORI Score
5 races
Elite Women
1🇺🇸 Cecily Decker1094 ORI Score
11 races
2🇺🇸 Sofia Gomez Villafane1089 ORI Score
11 races
3🇦🇩 Rosa Klöser1080 ORI Score
6 races
4🇺🇸 Melisa Rollins1079 ORI Score
9 races
5🇺🇸 Alexis Skarda1062 ORI Score
9 races
6🇺🇸 Lauren De Crescenzo1060 ORI Score
10 races
7🇵🇱 Karolina Migon1059 ORI Score
9 races
8🇳🇱 Geerike Schreurs1051 ORI Score
6 races
9🇪🇸 Morgan Aguirre1049 ORI Score
10 races
10🇺🇸 Lauren Stephens1047 ORI Score
10 races
11🇺🇸 Sarah Lange1046 ORI Score
10 races
12🇺🇸 Paige Onweller1040 ORI Score
6 races
13🇺🇸 Sarah Sturm1038 ORI Score
8 races
14🇺🇸 Hannah Otto1037 ORI Score
9 races
15🇺🇸 Cecile Lejeune1036 ORI Score
9 races
16🇦🇺 Courtney Sherwell1034 ORI Score
12 races
17🇬🇧 Danni Shrosbree1028 ORI Score
7 races
18🇺🇸 Jenna Rinehart1026 ORI Score
11 races
19🇺🇸 Erin Osborne1025 ORI Score
8 races
20🇺🇸 Ruby Ryan1025 ORI Score
6 races
21🇺🇸 Michaela Thompson1023 ORI Score
6 races
22🇪🇸 Sophie Wright1022 ORI Score
10 races
23🇨🇦 Haley Smith1022 ORI Score
9 races
24🇺🇸 Maude Farrell1021 ORI Score
6 races
25🇺🇸 Deanna Mayles1021 ORI Score
10 races
Methodology

How the ORI Score works

Every race is a chance to prove how you stack up — not just against whoever else showed up that day, but against the entire sport. A rider who wins their age group at a small local race and a rider who wins their age group at Unbound accomplished very different things. Counting wins or podiums can’t tell them apart. The ORI Score can, because it accounts for exactly who you raced and how much that race counts for.

An Elo rating, built race by race

Chess players have used Elo since 1960 to rate players who never all play each other, using only the games that actually happened. We apply the same math to racing. Every rider starts a ranking period at a baseline of 1000. Then, in chronological order, we replay that period’s races. For each finisher, we compare them — one at a time — against everyone else in their comparison field:

expected(you vs. rival) = 1 / (1 + 10^((rival’s score − your score) / 400))

That’s the probability, given current scores, that you’d beat that specific rival. Average it across the whole field and you get your expected result for that race — essentially, what your rating predicted you’d finish. Then we look at what actually happened:

actual(you) = (finishers behind you) / (total finishers − 1)

1st of 50 scores a perfect 1.00; last place scores 0.00. Your rating then moves by:

change = K × field-size factor × race weight × (actual − expected)

Beat your prediction and your score climbs; underperform it — even finishing near the front of a field your rating predicted you’d win — and it drops. K is a flat 32 for every race. The field-size factor discounts tiny fields — a 2-person race moves your score far less than a 50-person field would — so an empty parking lot doesn’t count the same as a real championship. The race weight is the ORI Grade below.

Race weight: not every race counts the same

Every graded race carries an ORI Grade — HC, 1, 2, or 3 — reflecting its depth of field and standing in the sport. A strong result at an HC race moves your score more than the identical result at a Grade 3 race would.

HC ×2.0   Grade 1 ×1.5   Grade 2 ×1.0   Grade 3 ×0.75

Two kinds of ranking period

Current is a rolling window covering your last twelve months of racing — it updates continuously and always reflects recent form. Calendar Year rankings lock in once a year is fully over, as a permanent record of how that season played out. Every rider starts both kinds of period at the 1000 baseline — a Calendar Year ranking is a clean, independent snapshot, not a continuation of the year before, and the Current window resets the same way as it rolls forward.

Only your best 5 results count — but you need at least 5

You need at least 5 results in a division within a period to be ranked at all — enough races to say something real about where you stand. Once you clear that bar, only your 5 best results (the ones that moved your score up the most) count toward your final score for that period; the race count shown next to your score is your full qualifying total, not just those 5.

Elite and Amateur: same math, different comparison basis

For an Eliteresult, you’re scored on your place within the Elite/Pro field itself. For an Amateuror Open result, you’re scored on your place across the entire gender field for that race — Elite, Amateur, and Open riders combined — since that’s the truest measure of who you actually beat. A race with no Elite/Pro category at all counts as Open, and Open results count toward bothan Elite and an Amateur ranking: a rider with a mix of Elite, Amateur, and Open results in a period can hold both rankings simultaneously. Within Amateur, you’re shown against your own age bracket — assigned once per period, based on your age as of that period, not race by race.

Why this handles field quality automatically

A “field strength” number never needs to be computed separately — it’s built into the rating of everyone else on the start line. Beat a field of previously-unrated riders and your score barely moves. Beat a field that includes riders who’ve already proven themselves against Elite fields elsewhere, and it moves a lot. This is also how an amateur racing in an Open category at a small race that happens to include a pro or two gets full credit for it — the pro’s rating (built from their Elite results elsewhere) raises that specific field’s difficulty, which raises what the amateur earns for finishing near them.

Why we show a race count next to every score

Elites race the same small pool of people repeatedly across a period, so their ratings converge quickly and reliably. Amateurs in the same age bracket might only cross paths once or twice a year — a score built on 5 races is a lot less certain than one built on 20. Read a fast-rising score with a low race count as promising, not proven.

Current scope & limitations (v2)

  • Gravel and select MTB endurance races that have been individually graded — not every discipline or every race yet.
  • U23 and specialty categories (Single Speed, E-bike, Para, Tandem, Non-Binary) aren’t rated yet — different competitive context, deserving their own pools. Juniors are rated under a single “18 and under” bucket, regardless of their exact sub-age.
  • DNF/DNS/DSQ results don’t affect your score at all right now — a deliberate simplification, not a permanent design choice.
  • Exact-tie finishes are broken arbitrarily rather than treated as a true tie — a minor imprecision.
  • A small number of riders have duplicate profile records in our matching pipeline (the same person imported under two different IDs). Until that’s cleaned up, their race history — and their score — can be split across both.