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	271.25	6510	8th
Goals	0.46	11	10th
Assists	0.5	12	41st
Saves	0.96	23	11th
Shots	2.12	51	18th
Demos	2.0	48	96th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	271.25	#853 / 1215	#123 / 166
Goals	0.46	#840 / 1215	#120 / 166
Assists	0.5	#516 / 1215	#71 / 166
Saves	0.96	#810 / 1215	#118 / 166
Demos	2.0	#38 / 1215	#5 / 166

60% of the season is played (24 → ~40 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 (117 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	6510	10850	11130	11130	11024 – 11237
Goals	11	18	20	20	15 – 24
Assists	12	20	20	20	16 – 25
Saves	23	38	40	40	33 – 46
Shots	51	85	86	85	77 – 96
Demos	48	80	76	79	68 – 84
MVPs	1	2	2	2	1 – 4

From 24 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	345.8
Avg boost	54.5
Boost stolen / game	461.7
% time at 0 boost	9.8%
Avg speed (uu/s)	1484.3
% supersonic	12.7%
% time high in air	2.5%
Avg distance to ball	3160.8
% time attacking third	21.5%
Demos / game	2.0
Demos taken / game	0.9
Shooting %	21.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Challenger	22	0.96	0.41	1.23	325
S24	Challenger	53	0.85	0.45	1.34	335
S25	Challenger	42	0.79	0.45	1.26	326
S26	Challenger	24	0.46	0.5	0.96	346

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	0.46	0.56	0.5 – 0.63
Assists/game	0.5	0.47	0.44 – 0.57
Saves/game	0.96	1.09	1.0 – 1.14
Shots/game	2.12	2.12	1.91 – 2.23

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
OurStevie	S23	Rival	0.43	0.57	1.21	1.27
Irishhhh	S18	Veteran	0.55	0.46	0.82	1.42
Goose	S24	Veteran	0.77	0.46	1.12	1.46
DR. BABIES	S20	Rival	0.55	0.41	1.04	1.46
Arbartenn	S19	Veteran	0.5	0.62	0.88	1.48
Bolbi	S19	Master	0.38	0.62	0.88	1.50
Sabre	S21	Veteran	0.53	0.47	1.0	1.56
jknop2	S17	Veteran	0.68	0.47	1.32	1.57
Steem	S26	Veteran	0.33	0.33	1.11	1.57
LGUPorkers	S17	Contender	0.57	0.36	1.14	1.59

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.