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	380.85	10283	77th
Goals	0.81	22	60th
Assists	0.7	19	81st
Saves	1.37	37	61st
Shots	2.78	75	70th
Demos	1.0	27	57th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	380.85	#215 / 1213	#31 / 166
Goals	0.81	#365 / 1213	#52 / 166
Assists	0.7	#198 / 1213	#25 / 166
Saves	1.37	#391 / 1213	#51 / 166
Demos	1.0	#381 / 1213	#47 / 166

53% of the season is played (27 → ~51 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 (15 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	10283	19423	19207	19207	19049 – 19364
Goals	22	42	41	40	34 – 49
Assists	19	36	35	33	28 – 42
Saves	37	70	69	71	60 – 79
Shots	75	142	140	139	127 – 154
Demos	27	51	51	48	43 – 59
MVPs	8	15	14	14	10 – 19

From 27 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	369.3
Avg boost	49.5
Boost stolen / game	450.7
% time at 0 boost	12.0%
Avg speed (uu/s)	1464.1
% supersonic	10.4%
% time high in air	3.8%
Avg distance to ball	3271.4
% time attacking third	17.9%
Demos / game	1.0
Demos taken / game	0.9
Shooting %	30.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Rival	15	0.67	0.27	1.47	334
S26	Challenger	27	0.82	0.7	1.37	369

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	0.81	0.81	0.75 – 0.9
Assists/game	0.7	0.64	0.6 – 0.68
Saves/game	1.37	1.4	1.28 – 1.51
Shots/game	2.78	2.68	2.41 – 2.8

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
superstrikzz	S22	Contender	0.9	0.71	1.2	0.71
CagiestSafe6	S25	Challenger	0.79	0.66	1.47	0.89
xolzkii	S21	Veteran	0.76	0.65	1.35	0.93
Jay_Kay99	S24	Veteran	0.77	0.77	1.4	1.07
Arbartenn	S21	Veteran	1.0	0.62	1.38	1.09
Yort	S22	Rival	1.0	0.62	1.38	1.12
Heyzisthename	S23	Veteran	0.82	0.66	1.52	1.15
AcX	S22	Master	0.84	0.58	1.56	1.15
Shame	S23	Challenger	1.0	0.56	1.4	1.15
Shrek Is The Best Anime	S25	Rival	0.62	0.7	1.3	1.18

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

---

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