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	257.38	2059	4th
Goals	0.62	5	29th
Assists	0.38	3	17th
Saves	0.62	5	2nd
Shots	2.38	19	40th
Demos	1.25	10	77th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	257.38	#884 / 1215	#128 / 166
Goals	0.62	#660 / 1215	#92 / 166
Assists	0.38	#761 / 1215	#109 / 166
Saves	0.62	#924 / 1215	#130 / 166
Demos	1.25	#237 / 1215	#28 / 166

60% of the season is played (8 → ~13 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 (147 games across 5 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	2059	3346	3556	3556	3499 – 3612
Goals	5	8	8	8	6 – 11
Assists	3	5	5	5	3 – 7
Saves	5	8	10	9	7 – 13
Shots	19	31	31	30	26 – 36
Demos	10	16	16	20	12 – 19
MVPs	1	2	2	2	1 – 3

From 8 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	361.5
Avg boost	47.5
Boost stolen / game	525.5
% time at 0 boost	9.9%
Avg speed (uu/s)	1521.5
% supersonic	11.1%
% time high in air	2.7%
Avg distance to ball	3145.2
% time attacking third	20.9%
Demos / game	1.2
Demos taken / game	1.8
Shooting %	23.8%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Rival	15	0.53	0.33	1.4	380
S21	Rival	6	0.67	0.5	1.0	380
S22	Rival	13	0.62	1.08	0.85	402
S23	Rival	59	0.7	0.71	1.0	383
S24	Rival	41	0.54	0.44	1.0	361
S25	Rival	19	1.05	0.26	1.21	380
S26	Challenger	8	0.62	0.38	0.62	361

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	0.62	0.65	0.55 – 0.75
Assists/game	0.38	0.39	0.33 – 0.47
Saves/game	0.62	0.78	0.69 – 0.95
Shots/game	2.38	2.35	2.09 – 2.44

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
Phelpsy	S22	Elite	0.75	0.5	0.5	1.06
Reeve-	S13	Challenger	0.67	0.33	0.78	1.13
Versiaz	S23	Veteran	0.7	0.5	0.87	1.21
Angry-Hermit	S21	Contender	0.56	0.42	0.83	1.23
Detroeux	S25	Prospect	0.8	0.41	0.69	1.24
Alpha Dingo	S26	Challenger	0.79	0.46	0.96	1.27
Dizzy	S19	Master	0.5	0.2	0.7	1.32
Corrupt_Arrow	S17	Veteran	0.6	0.5	0.6	1.34
Moist_Games	S26	Prospect	0.57	0.39	0.86	1.35
ChrisMingle	S13	Challenger	0.83	0.33	0.75	1.35

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.