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 Contender)

Stat	Per game	Total	Percentile in tier
Points	333.59	9674	64th
Goals	0.83	24	67th
Assists	0.69	20	86th
Saves	0.93	27	21st
Shots	2.52	73	69th
Demos	0.34	10	9th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	333.59	#555 / 1215	#40 / 134
Goals	0.83	#358 / 1215	#37 / 134
Assists	0.69	#201 / 1215	#15 / 134
Saves	0.93	#827 / 1215	#88 / 134
Demos	0.34	#900 / 1215	#101 / 134

64% of the season is played (29 → ~45 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 (89 games across 2 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	9674	15011	14954	14954	14843 – 15066
Goals	24	37	37	38	31 – 42
Assists	20	31	30	30	25 – 35
Saves	27	42	43	43	37 – 49
Shots	73	113	113	113	103 – 122
Demos	10	16	17	17	13 – 21
MVPs	3	5	5	5	3 – 7

From 25 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	336.5
Avg boost	51.2
Boost stolen / game	446.0
% time at 0 boost	9.5%
Avg speed (uu/s)	1348.2
% supersonic	7.1%
% time high in air	3.3%
Avg distance to ball	3098.8
% time attacking third	20.8%
Demos / game	0.3
Demos taken / game	0.7
Shooting %	37.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Prospect	39	0.87	0.69	1.23	301
S25	Contender	50	1.06	0.42	0.94	342
S26	Contender	25	0.92	0.68	0.96	336

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	0.92	0.87	0.81 – 0.93
Assists/game	0.68	0.65	0.58 – 0.69
Saves/game	0.96	0.95	0.87 – 1.08
Shots/game	2.56	2.5	2.37 – 2.66

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
Kush_the_Ninja	S13	Contender	0.82	0.64	1.0	1.04
bestpickle	S26	Contender	1.04	0.58	0.92	1.19
Zarthon77	S23	Veteran	1.05	0.68	1.05	1.20
XerNaut	S20	Prospect	0.93	0.68	0.68	1.23
Merk890	S24	Rival	0.86	0.76	1.08	1.23
Fox_gt_400	S23	Challenger	0.84	0.65	0.86	1.24
TimmyIU20	S23	Amateur	0.9	0.65	1.15	1.34
Phteven	S14	Prospect	0.83	0.83	1.08	1.34
SIashFabo420	S17	Amateur	0.75	0.62	0.88	1.35
Carno	S23	Prospect	0.79	0.55	0.83	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.