How are these calculated?

Composite: each per-game stat (goals, assists, saves, shots, demos, shooting %, MVPs) is turned into a z-score vs the player's tier peers, weighted by how much it correlates with winning, summed, then shrunk toward the tier average for small samples (games / (games + 8)).

Tier dominance: that composite expressed two ways - a percentile within the tier (rank), and a margin in standard deviations above the tier average (how big an outlier). The margin is what flags genuine outliers vs. someone merely top of a tight tier.

Overall rating (0-100): the composite plus a tier-strength bonus (Premier counts most), turned into a league-wide percentile - so it's comparable across tiers, unlike tier dominance.

Projects as: re-sorting every player by overall skill into the tiers' real sizes, the tier this player would land in. Projecting up a tier (and being an outlier) = "overskilled." A model estimate.

Per-game production (percentile within Challenger)

Stat	Per game	Total	Percentile in tier
Points	417.07	12095	92nd
Goals	1.07	31	85th
Assists	0.86	25	93rd
Saves	1.34	39	58th
Shots	2.97	86	84th
Demos	0.24	7	2nd

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	417.07	#83 / 1213	#11 / 166
Goals	1.07	#114 / 1213	#20 / 166
Assists	0.86	#60 / 1213	#9 / 166
Saves	1.34	#414 / 1213	#56 / 166
Demos	0.24	#915 / 1213	#129 / 166

53% of the season is played (29 → ~54 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (16 games across 1 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	Projected (all data)	80% range
Points	12095	22522	22112	22112	21946 – 22278
Goals	31	58	56	53	48 – 64
Assists	25	47	45	43	37 – 52
Saves	39	73	72	67	63 – 82
Shots	86	160	158	148	144 – 172
Demos	7	13	17	13	12 – 22
MVPs	7	13	13	13	9 – 16

From 29 ballchasing replays (matches + scrims). Advanced OVR is a percentile among the 762 players with enough replay data - separate from the box-score OVR above.

Boost / min	275.4
Avg boost	49.4
Boost stolen / game	422.8
% time at 0 boost	7.7%
Avg speed (uu/s)	1387.1
% supersonic	7.3%
% time high in air	4.7%
Avg distance to ball	2613.6
% time attacking third	21.6%
Demos / game	0.2
Demos taken / game	1.2
Shooting %	34.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S22	Rival	16	0.38	0.44	0.62	250
S26	Challenger	29	1.07	0.86	1.34	275

Historical analysis - data: Official · All seasons (change in the nav)

Where the 25 most similar players from 11 completed past season(s) landed for each per-game stat (median + middle-50% range). A "players like you finished here" anchor that complements the pace projection above.

Stat	This season	Comparables median	Typical range
Goals/game	1.07	1.05	0.9 – 1.12
Assists/game	0.86	0.76	0.66 – 0.81
Saves/game	1.34	1.25	1.1 – 1.33
Shots/game	2.97	2.86	2.67 – 3.0

Most similar players (across RSC history)

Nearest matches by per-game production & play-style (goals, assists, saves, shots, boost, speed, positioning, demos), standardized across 6659 player-seasons. Lower distance = more similar.

Player	Season	Tier	Goals/g	Assists/g	Saves/g	Similarity
Mike The Ox	S23	Challenger	1.02	0.8	1.64	1.19
MauiDestroYa	S14	Challenger	1.0	1.0	1.43	1.23
Bev ski	S19	Rival	1.12	0.75	1.0	1.34
Gambit	S26	Contender	0.79	1.0	1.29	1.42
BlackCoop03	S22	Contender	1.07	0.64	1.32	1.50
Merk890	S24	Rival	0.86	0.76	1.08	1.55
Abeillonnaise	S26	Prospect	1.0	0.86	1.14	1.57
EvilSuperman_	S21	Amateur	0.88	0.96	1.33	1.58
lone wolf	S26	Prospect	0.71	0.93	1.21	1.61
LostZealous	S20	Prospect	1.14	0.8	1.37	1.61

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

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Data source: live (rscna.com) - standings & schedule refresh hourly.