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	333.68	8342	47th
Goals	0.52	13	14th
Assists	0.24	6	5th
Saves	1.84	46	93rd
Shots	2.48	62	48th
Demos	1.36	34	82nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	333.68	#554 / 1215	#71 / 166
Goals	0.52	#786 / 1215	#114 / 166
Assists	0.24	#902 / 1215	#126 / 166
Saves	1.84	#60 / 1215	#9 / 166
Demos	1.36	#198 / 1215	#23 / 166

60% of the season is played (25 → ~42 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 (52 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	8342	14015	14046	14046	13927 – 14165
Goals	13	22	23	24	18 – 28
Assists	6	10	11	12	8 – 15
Saves	46	77	75	75	67 – 84
Shots	62	104	104	106	94 – 114
Demos	34	57	56	57	48 – 63
MVPs	2	3	4	4	2 – 6

From 3 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	423.7
Avg boost	49.2
Boost stolen / game	444.3
% time at 0 boost	12.1%
Avg speed (uu/s)	1573.1
% supersonic	17.2%
% time high in air	5.0%
Avg distance to ball	3149.2
% time attacking third	21.2%
Demos / game	0.3
Demos taken / game	0.7
Shooting %	9.1%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Challenger	52	0.88	0.56	1.38	408
S26	Challenger	9	0.33	0.44	1.33	443

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	0.33	0.5	0.43 – 0.62
Assists/game	0.44	0.5	0.42 – 0.53
Saves/game	1.33	1.47	1.38 – 1.5
Shots/game	2.44	2.4	2.17 – 2.66

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
hawktuahjohnpork	S23	Master	0.43	0.43	1.31	1.24
RL Rust	S20	Veteran	0.5	0.42	1.25	1.29
ExyRL.	S24	Elite	0.54	0.54	1.46	1.41
PackRL	S25	Elite	0.54	0.5	1.68	1.45
GoldFish	S23	Elite	0.42	0.62	1.42	1.45
aes.	S14	Premier	0.62	0.38	1.25	1.47
Verza	S19	Elite	0.42	0.58	1.5	1.47
Seth	S23	Elite	0.65	0.5	1.5	1.51
Colinn	S18	Elite	0.5	0.38	1.38	1.53
FIN0oo	S19	Elite	0.5	0.5	1.58	1.53

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.