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 Months202520242023202220212019
EliteAmateur
Elite Men
1🇺🇸 Keegan Swenson1126 ORI Score
11 races
2🇺🇸 Cobe Freeburn1107 ORI Score
12 races
3🇿🇦 Matthew Beers1106 ORI Score
10 races
4🇩🇰 Magnus Bak Klaris1104 ORI Score
7 races
5🇨🇦 Andrew L’esperance1101 ORI Score
9 races
6🇪🇸 Mads Würtz Schmidt1100 ORI Score
5 races
7🇦🇺 Brendan Johnston1098 ORI Score
6 races
8🇨🇭 Simon Pellaud1097 ORI Score
9 races
9🇺🇸 Bradyn Lange1095 ORI Score
11 races
10🇺🇸 Cameron Jones1095 ORI Score
12 races
11🇺🇸 Brennan Wertz1094 ORI Score
7 races
12🇺🇸 Peter Stetina1094 ORI Score
11 races
13🇺🇸 Alexey Vermeulen1094 ORI Score
13 races
14🇳🇱 Adne Koster1090 ORI Score
7 races
15🇨🇦 Adam Roberge1087 ORI Score
10 races
16🇳🇴 Anton Stensby1087 ORI Score
6 races
17🇩🇰 Tobias Mørch Kongstad1086 ORI Score
9 races
18🇫🇷 Hugo Drechou1082 ORI Score
6 races
19🇳🇿 Caleb Bottcher1082 ORI Score
11 races
20🇺🇸 Daxton Mock1081 ORI Score
12 races
21🇳🇿 Matthew Wilson1079 ORI Score
9 races
22🇺🇸 Henry Nelson1077 ORI Score
14 races
23🇮🇹 Mattia De Marchi1077 ORI Score
8 races
24🇧🇪 Aaron Van Der Beken1073 ORI Score
7 races
25🇨🇦 Julien Gagne1073 ORI Score
9 races
Elite Women
1🇺🇸 Sofia Gomez Villafane1115 ORI Score
11 races
2🇺🇸 Cecily Decker1110 ORI Score
12 races
3🇺🇸 Melisa Rollins1105 ORI Score
8 races
4🇦🇩 Rosa Klöser1104 ORI Score
5 races
5🇳🇱 Geerike Schreurs1101 ORI Score
9 races
6🇺🇸 Paige Onweller1099 ORI Score
8 races
7🇺🇸 Lauren Stephens1099 ORI Score
11 races
8🇺🇸 Lauren De Crescenzo1097 ORI Score
15 races
9🇺🇸 Sarah Lange1094 ORI Score
12 races
10🇪🇸 Morgan Aguirre1079 ORI Score
10 races
11🇵🇱 Karolina Migon1077 ORI Score
7 races
12🇺🇸 Alexis Skarda1076 ORI Score
9 races
13🇺🇸 Cecile Lejeune1074 ORI Score
15 races
14🇿🇦 Hayley Preen1073 ORI Score
7 races
15🇪🇸 Sophie Wright1073 ORI Score
6 races
16🇳🇿 Samara Sheppard1073 ORI Score
10 races
17🇬🇧 Danni Shrosbree1071 ORI Score
8 races
18🇫🇷 Axelle Dubau-Prevot1069 ORI Score
5 races
19🇺🇸 Kylee Hanel1060 ORI Score
6 races
20🇨🇦 Haley Smith1059 ORI Score
8 races
21🇺🇸 Hannah Otto1057 ORI Score
8 races
22🇺🇸 Deanna Mayles1053 ORI Score
11 races
23🇺🇸 Ruby Ryan1052 ORI Score
8 races
24🇺🇸 Hannah Shell1049 ORI Score
12 races
25🇦🇺 Courtney Sherwell1048 ORI Score
11 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.