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	348.22	12536	56th
Goals	0.83	30	63rd
Assists	0.64	23	74th
Saves	1.03	37	17th
Shots	2.89	104	79th
Demos	0.36	13	5th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	348.22	#439 / 1215	#58 / 166
Goals	0.83	#331 / 1215	#48 / 166
Assists	0.64	#281 / 1215	#35 / 166
Saves	1.03	#737 / 1215	#111 / 166
Demos	0.36	#894 / 1215	#127 / 166

60% of the season is played (36 → ~60 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	12536	20893	20863	20718 – 21009
Goals	30	50	50	43 – 57
Assists	23	38	38	32 – 44
Saves	37	62	63	55 – 71
Shots	104	173	172	159 – 185
Demos	13	22	24	19 – 30
MVPs	4	7	7	4 – 10

From 32 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	357.0
Avg boost	49.2
Boost stolen / game	460.5
% time at 0 boost	10.5%
Avg speed (uu/s)	1458.5
% supersonic	8.0%
% time high in air	3.4%
Avg distance to ball	3005.8
% time attacking third	24.6%
Demos / game	0.3
Demos taken / game	1.1
Shooting %	28.0%

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	0.91	0.92	0.87 – 1.02
Assists/game	0.62	0.6	0.52 – 0.68
Saves/game	1.06	1.03	0.96 – 1.16
Shots/game	3.12	2.94	2.82 – 3.2

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
.S	S22	Veteran	0.97	0.6	1.03	1.12
ttv. blestbb	S24	Elite	1.0	0.47	1.0	1.13
Geherpaderp	S21	Master	1.02	0.52	0.96	1.20
YRA	S20	Rival	0.8	0.67	1.13	1.26
RaunchyRomanian	S23	Elite	0.88	0.75	1.16	1.27
EyeSucka	S26	Rival	0.88	0.62	1.08	1.28
PoupSoup	S22	Rival	0.92	0.58	1.17	1.29
Nuummite	S24	Veteran	1.08	0.66	1.02	1.33
xypheron	S24	Challenger	0.64	0.61	1.18	1.36
DaScrappyDoo	S20	Challenger	0.8	0.7	1.1	1.36

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.