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	424.5	11886	95th
Goals	1.18	33	93rd
Assists	0.46	13	48th
Saves	1.5	42	85th
Shots	2.96	83	87th
Demos	0.5	14	21st

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Contender
Points	424.5	#59 / 1213	#5 / 134
Goals	1.18	#60 / 1213	#8 / 134
Assists	0.46	#609 / 1213	#58 / 134
Saves	1.5	#241 / 1213	#15 / 134
Demos	0.5	#797 / 1213	#84 / 134

64% of the season is played (28 → ~44 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 (77 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	11886	18678	18293	18293	18170 – 18416
Goals	33	52	50	49	44 – 57
Assists	13	20	21	21	16 – 25
Saves	42	66	65	64	57 – 72
Shots	83	130	128	127	118 – 138
Demos	14	22	23	23	19 – 28
MVPs	10	16	15	15	12 – 18

From 28 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	403.1
Avg boost	47.7
Boost stolen / game	518.9
% time at 0 boost	14.6%
Avg speed (uu/s)	1493.1
% supersonic	12.1%
% time high in air	4.8%
Avg distance to ball	2997.5
% time attacking third	22.9%
Demos / game	0.5
Demos taken / game	0.5
Shooting %	37.5%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Prospect	47	0.83	0.68	1.19	388
S25	Prospect	30	0.43	0.47	1.1	365
S26	Contender	28	1.18	0.46	1.5	403

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	1.18	1.1	1.04 – 1.21
Assists/game	0.46	0.52	0.43 – 0.58
Saves/game	1.5	1.4	1.33 – 1.5
Shots/game	2.96	2.88	2.73 – 3.13

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
mr_marino_	S21	Rival	1.08	0.52	1.4	1.00
Rmuru-	S22	Challenger	1.19	0.62	1.62	1.10
C01E01	S22	Veteran	1.1	0.59	1.58	1.11
Napkhan	S25	Challenger	1.3	0.41	1.66	1.15
Snipe	S23	Veteran	1.04	0.52	1.48	1.21
BrdTrd999	S25	Contender	1.14	0.62	1.31	1.21
MissionaryJackk	S14	Prospect	1.08	0.42	1.33	1.24
Sin	S18	Master	1.12	0.38	1.25	1.24
Mulliganisoup	S23	Prospect	0.96	0.43	1.43	1.29
C01E01	S24	Elite	1.02	0.58	1.44	1.30

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.