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 Rival)

Stat	Per game	Total	Percentile in tier
Points	355.65	9247	61st
Goals	0.73	19	48th
Assists	0.88	23	96th
Saves	1.27	33	39th
Shots	2.62	68	56th
Demos	0.69	18	22nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	355.65	#376 / 1215	#52 / 164
Goals	0.73	#512 / 1215	#70 / 164
Assists	0.88	#50 / 1215	#5 / 164
Saves	1.27	#503 / 1215	#83 / 164
Demos	0.69	#683 / 1215	#105 / 164

56% of the season is played (26 → ~46 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 (78 games across 3 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	9247	16360	16292	16292	16156 – 16428
Goals	19	34	34	34	27 – 40
Assists	23	41	39	39	33 – 45
Saves	33	58	59	57	51 – 67
Shots	68	120	120	121	108 – 131
Demos	18	32	33	32	27 – 40
MVPs	5	9	9	9	6 – 12

From 22 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	439.0
Avg boost	47.1
Boost stolen / game	726.0
% time at 0 boost	14.1%
Avg speed (uu/s)	1514.2
% supersonic	12.5%
% time high in air	4.6%
Avg distance to ball	3085.2
% time attacking third	24.2%
Demos / game	0.7
Demos taken / game	1.3
Shooting %	28.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Rival	47	0.87	0.72	0.85	400
S24	Veteran	12	0.83	0.92	0.92	384
S25	Veteran	19	0.58	0.47	1.47	398
S26	Rival	22	0.73	0.96	1.09	439

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	0.73	0.77	0.71 – 0.89
Assists/game	0.95	0.82	0.75 – 0.93
Saves/game	1.09	1.16	0.97 – 1.25
Shots/game	2.5	2.7	2.5 – 2.83

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
EKA Luminous	S23	Rival	0.83	0.89	1.25	0.93
Wafe	S25	Elite	0.6	0.84	1.1	1.21
M1TNS	S23	Veteran	0.81	0.73	1.25	1.25
z2kay	S20	Rival	0.75	0.81	1.25	1.38
robotman321	S26	Veteran	0.79	0.83	0.96	1.48
depressed vibez	S22	Veteran	0.83	0.78	1.17	1.49
Free.	S19	Challenger	0.75	0.88	0.88	1.51
Fish	S14	Rival	0.62	0.75	1.38	1.55
lurx bad at rl	S25	Rival	1.03	0.82	1.16	1.58
Bioeffect	S21	Rival	0.67	0.93	1.4	1.59

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.