Wocka70 — CS2 Stats

76561198134915664[U:1:174649936]

1,231Tracked matches52%Win rate2020Tracked since
CSDB Rating5.2 DevelopingHybrid Rifler
Premier CS Rating13,552Blue band · top ~36.1% of ranked players (population est.)
CSDB Leaderboard#36210 of 56036 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Share this profile

CSDB.GGWocka70FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER13,552 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim69
Positioning42
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY43516Last 10043%Win rateWLLLWLWLWW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.9
Aggression6.0
Utility4.8
Positioning4.2
Opening Duels1.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 86% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 623ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.9
Positioning4.2
Utility4.8
Mechanics7.9
Opening Duels1.4
Win Impact5.6

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time628ms−10ms
first ⅓ avg 638ms → last ⅓ avg 628ms
Headshot accuracy28.1%+5.2%
first ⅓ avg 22.9% → last ⅓ avg 28.1%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.15Best rating — vertigo 9–6
132Biggest win — mirage
4Longest win streak
86In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 64% over 11ancientWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
ancientD1851328%-0.01
mirageB178947%0.00
trainB126650%-0.01
anubisA117464%0.01
nukeC114736%-0.01
infernoD93633%-0.05
cacheB84450%-0.03
dust2B63350%0.00
vertigo32167%0.04
overpass21150%0.03
office2020%0.02
dogtown1010%-0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,128Matches
50%Win rate
1.11Avg K/D
ADR
42%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWW

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

28.5%Headshot accuracy
28.1%Accuracy (enemy spotted)
27.6%Spray accuracy
85.4%Counter-strafing
9.2°Preaim
623msReaction time
30.4%T opening success
40.7%CT opening success
0.57Enemies flashed / flash
1.7%Flash assists
11.60HE damage / grenade
6.70Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 30.4346% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0119%25 Aug
mirage11–13-0.0020%25 Aug
cache10–13-0.1121%23 Aug
mirage4–13-0.0336%23 Aug
ancient16–12-0.0137%13 Aug
inferno6–13-0.0427%13 Aug
anubis13–90.0722%13 Aug
nuke12–16-0.0529%31 Jul
mirage13–20.0850%31 Jul
cache13–6-0.0236%21 Jul
ancient15–15-0.0221%18 Jul
anubis13–70.0331%18 Jul
ancient13–110.0335%17 Jul
mirage11–13-0.0325%17 Jul
mirage13–11-0.0225%16 Jul
dust23–13-0.1021%16 Jul
anubis13–110.1123%15 Jul
ancient10–130.0037%15 Jul
nuke6–13-0.0113%14 Jul
nuke6–13-0.0130%14 Jul
ancient3–13-0.028%14 Jul
dust213–70.0429%13 Jul
cache4–13-0.0647%13 Jul
nuke13–40.0741%12 Jul
cache7–13-0.0321%12 Jul
anubis3–130.0526%9 Jul
mirage13–7-0.0141%9 Jul
vertigo13–5-0.0541%8 Jul
cache13–6-0.0427%8 Jul
train13–6-0.0426%27 Jun
overpass12–12-0.0131%26 Jun
cache13–7-0.0011%26 Jun
mirage13–50.0521%26 Jun
inferno2–13-0.0039%26 Jun
cache13–80.0920%24 Jun
mirage10–130.0422%24 Jun
train13–11-0.0320%24 Jun
mirage5–13-0.0230%24 Jun
overpass13–70.0816%22 Jun
anubis7–130.0127%22 Jun
train6–13-0.0725%16 Jun
cache11–13-0.0615%16 Jun
mirage3–13-0.0225%15 Jul
nuke13–110.0424%15 Jul
dust27–130.0619%15 Jul
train10–130.0028%15 Jul
nuke8–13-0.0530%11 Jul
office9–130.0133%10 Jun
train15–15-0.0215%10 Jun
nuke2–9-0.1228%4 Jun
inferno1–9-0.0816%4 Jun
vertigo9–60.1524%4 Jun
inferno0–9-0.1824%4 Jun
dogtown3–9-0.1123%4 Jun
nuke9–60.0320%4 Jun
mirage9–13-0.0116%4 Jun
train7–13-0.0719%4 Jun
inferno13–80.0032%22 May
ancient8–13-0.0226%22 May
anubis3–13-0.0217%14 May
ancient11–13-0.0521%14 May
dust213–10-0.0116%14 May
train13–80.0630%14 May
mirage7–13-0.0913%7 May
train5–13-0.0518%7 May
ancient13–10-0.0031%7 May
ancient15–150.0512%7 May
office12–120.0219%2 May
vertigo3–130.0141%2 May
train6–13-0.0627%24 Apr
inferno13–11-0.0320%24 Apr
ancient16–12-0.0219%24 Apr
nuke13–70.0118%24 Apr
nuke6–13-0.0331%23 Apr
mirage13–11-0.0424%23 Apr
anubis8–13-0.0425%18 Apr
mirage13–60.0738%18 Apr
ancient2–13-0.0416%18 Apr
train13–30.0224%16 Apr
inferno8–13-0.0518%16 Apr
anubis16–14-0.0115%15 Apr
ancient13–6-0.0215%15 Apr
ancient5–130.0131%14 Apr
train13–80.0321%14 Apr
mirage13–60.0425%14 Apr
anubis13–10-0.0428%14 Apr
mirage11–130.0226%10 Apr
ancient4–13-0.0528%10 Apr
dust215–150.0422%9 Apr
ancient7–13-0.0423%9 Apr
anubis13–3-0.0725%9 Apr
inferno13–50.0321%4 Apr
mirage13–9-0.0331%3 Apr
ancient9–13-0.070%3 Apr
anubis13–90.0522%3 Apr
ancient8–130.1022%3 Apr
train13–30.0612%3 Apr
inferno2–6-0.0625%3 Apr
ancient11–130.0525%3 Feb
nuke8–13-0.0317%28 Jan

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →