NoobZ

Veteran - Dragonborn - 12-12 (0.500)
64 OVR
overall rating (0–100) · 24 games · how is this calculated?
Overall rating 64/100 Tier dominance: 36th (-0.4 SD) Projects as: Veteran Role: Playmaker
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.

MVPs
2
8% of games
Shot %
37%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 375.62 9015
71st
Goals 0.83 20
61st
Assists 0.67 16
66th
Saves 1.46 35
58th
Shots 2.25 54
26th
Demos 0.79 19
32nd

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points375.62 #238 / 1215 #39 / 170
Goals0.83 #331 / 1215 #49 / 170
Assists0.67 #229 / 1215 #39 / 170
Saves1.46 #309 / 1215 #57 / 170
Demos0.79 #603 / 1215 #93 / 170

Season projection

Medium confidence

56% of the season is played (24 → ~43 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 (102 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 9015 16152 16049 16049 15914 – 16185
Goals 20 36 36 36 29 – 42
Assists 16 29 28 27 23 – 34
Saves 35 63 62 60 54 – 71
Shots 54 97 98 100 88 – 109
Demos 19 34 35 36 29 – 42
MVPs 2 4 4 4 2 – 6

Advanced stats (ballchasing)

Advanced OVR 58 /100

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 375.7
Avg boost 52.6
Boost stolen / game 450.1
% time at 0 boost 9.1%
Avg speed (uu/s) 1528.2
% supersonic 12.3%
% time high in air 4.3%
Avg distance to ball 2988.9
% time attacking third 19.4%
Demos / game 0.8
Demos taken / game 1.5
Shooting % 35.5%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Elite23 1.260.651.22 365
S21Elite4 1.250.251.5 374
S22Elite24 0.830.670.96 370
S25Elite55 0.760.331.04 383
S26Veteran25 0.880.721.44 376

Beyond RSC - lifetime & other play

External skill estimate: ~76 OVR Medium confidence — inferred from 86 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 64.
SourceGames RecordWin % Score/g
Lifetime (all)30131268-1109 53% 341
RSC (official)276-16 27% 350
Non-RSC ranked 3v38635-26 57% 347
Non-RSC other29001227-1067 53% 341

From public ballchasing replays (score-based, so no goals/saves breakdown). Non-RSC play tracks a player's overall level well but not their standing within a tier — see the ratings notes. Only players with a Steam id and uploaded public games appear here.

Historical analysis - data: Official · All seasons (change in the nav)

Comparable-based outlook

High confidence

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.

StatThis seasonComparables medianTypical range
Goals/game0.88 0.82 0.77 – 0.9
Assists/game0.72 0.67 0.64 – 0.73
Saves/game1.44 1.42 1.36 – 1.51
Shots/game2.4 2.47 2.38 – 2.62

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.

PlayerSeasonTierGoals/gAssists/gSaves/gSimilarity
hi stats its Snack Time! S22Master 0.790.721.46 0.73
Ninji <3 S23Challenger 0.930.661.38 0.80
Cognitixn S22Rival 0.930.81.47 0.81
AcX S23Master 0.760.641.56 0.86
Hunter S25Challenger 0.830.831.54 0.89
Billionninja S26Veteran 0.810.741.61 0.89
WP_Merciless S23Veteran 0.820.751.53 0.91
noot S24Rival 0.820.581.42 0.95
Reported. S23Elite 0.90.671.28 0.95
AcX S24Master 0.740.671.24 0.97

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.