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	349.42	4193	58th
Goals	0.75	9	47th
Assists	0.42	5	24th
Saves	0.83	10	5th
Shots	3.08	37	89th
Demos	2.17	26	97th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	349.42	#429 / 1215	#56 / 166
Goals	0.75	#455 / 1215	#66 / 166
Assists	0.42	#706 / 1215	#96 / 166
Saves	0.83	#862 / 1215	#126 / 166
Demos	2.17	#28 / 1215	#4 / 166

60% of the season is played (12 → ~20 games). Projected (this season) blends the current rate with the tier average (regression to the mean). . Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	80% range
Points	4193	6988	6962	6883 – 7042
Goals	9	15	15	11 – 19
Assists	5	8	9	6 – 12
Saves	10	17	18	14 – 22
Shots	37	62	60	53 – 67
Demos	26	43	40	34 – 45
MVPs	0	0	0	0 – 2

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

Boost / min	428.5
Avg boost	47.9
Boost stolen / game	650.2
% time at 0 boost	12.4%
Avg speed (uu/s)	1492.5
% supersonic	11.6%
% time high in air	4.6%
Avg distance to ball	2845.7
% time attacking third	25.7%
Demos / game	2.2
Demos taken / game	0.8
Shooting %	23.6%

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	0.81	0.69 – 0.88
Assists/game	0.5	0.48	0.42 – 0.54
Saves/game	0.5	0.83	0.73 – 1.0
Shots/game	2.62	2.69	2.29 – 2.9

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
Panda	S20	Challenger	0.81	0.44	0.94	1.90
Dracula__OG	S21	Amateur	1.0	0.73	0.53	2.08
Mayhem	S17	Veteran	0.75	0.33	0.92	2.17
revan	S13	Veteran	0.38	0.5	0.75	2.28
Goose	S23	Veteran	0.65	0.48	0.96	2.29
Karistafir al-nadim	S24	Premier	0.58	0.42	0.75	2.33
Hirsch	S23	Master	0.69	0.61	1.0	2.34
Ruthle	S23	Rival	0.81	0.72	1.03	2.34
MedicMac121	S24	Amateur	0.84	0.43	0.73	2.34
Trav	S17	Prospect	0.38	0.5	1.0	2.35

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.