VickyViksta

Challenger - Panda Bears - 5-18 (0.217)
34 OVR
overall rating (0–100) · 23 games · how is this calculated?
Overall rating 34/100 Tier dominance: 25th (-0.7 SD) Projects as: Challenger Role: Striker
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
9% of games
Shot %
34%

Per-game production (percentile within Challenger)

StatPer gameTotalPercentile in tier
Points 353.52 8131
63rd
Goals 0.96 22
75th
Assists 0.3 7
11th
Saves 1.13 26
27th
Shots 2.78 64
74th
Demos 0.61 14
26th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Challenger
Points353.52 #393 / 1215 #49 / 166
Goals0.96 #200 / 1215 #33 / 166
Assists0.3 #854 / 1215 #118 / 166
Saves1.13 #652 / 1215 #96 / 166
Demos0.61 #748 / 1215 #98 / 166

Season projection

Medium confidence

60% of the season is played (23 → ~38 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 (190 games across 6 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 8131 13434 13387 13387 13273 – 13500
Goals 22 36 36 36 30 – 41
Assists 7 12 12 12 9 – 16
Saves 26 43 44 44 37 – 50
Shots 64 106 105 104 95 – 115
Demos 14 23 25 23 19 – 30
MVPs 2 3 4 4 2 – 6

Advanced stats (ballchasing)

Advanced OVR 27 /100

From 21 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 278.4
Avg boost 45.1
Boost stolen / game 355.5
% time at 0 boost 7.6%
Avg speed (uu/s) 1375.4
% supersonic 6.8%
% time high in air 3.3%
Avg distance to ball 3186.8
% time attacking third 16.7%
Demos / game 0.5
Demos taken / game 1.3
Shooting % 36.5%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Challenger12 1.080.51.33 301
S21Challenger14 0.860.211.79 295
S22Challenger23 0.520.391.7 306
S23Challenger33 0.640.611.24 295
S24Challenger59 1.00.391.46 302
S25Challenger49 0.760.511.1 278
S26Challenger21 1.050.331.24 278

Beyond RSC - lifetime & other play

External skill estimate: ~37 OVR High confidence — inferred from 514 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 34.
SourceGames RecordWin % Score/g
Lifetime (all)69952576-2998 46% 330
RSC (official)8233-36 48% 318
Non-RSC ranked 3v3514185-197 48% 284
Non-RSC other63992358-2765 46% 334

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/game1.05 0.93 0.86 – 1.0
Assists/game0.33 0.38 0.33 – 0.45
Saves/game1.24 1.29 1.04 – 1.34
Shots/game2.86 2.57 2.38 – 2.68

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
Chulainn S26Prospect 0.820.321.27 1.11
DrivingWebster S14Prospect 1.080.331.17 1.19
Haro.- S14Amateur 1.060.371.17 1.21
MaChInImEr S13Amateur 1.250.381.0 1.25
frankieeagle S25Prospect 1.00.250.92 1.28
IzumI._._. S24Amateur 0.930.451.27 1.28
Calicat01 S23Challenger 0.980.481.33 1.31
Tyson_WA S24Prospect 0.860.51.04 1.43
BlackCoop03 S23Challenger 0.860.351.42 1.43
IzumI._._. S26Contender 1.030.321.29 1.44

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.