ChewVACca — CS2 Stats

76561198035567030[U:1:75301302]

3,007Tracked matches59%Win rate2020Tracked since
CSDB Rating6.8 SolidHybrid Rifler
Premier CS Rating25,891Top 25% of 29,473 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#4045 of 48822 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGChewVACcaFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER25,891 · Red bandcsdb.gg/stats

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Performance scores

Aim77
Positioning55
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY52408Last 10052%Win rateLWWWLLTLWT

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

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

Aim7.7
Aggression6.1
Utility6.6
Positioning5.5
Opening Duels1.6
Clutch5.0

Strong CT-side opener

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

Twistzz

Plays most like Twistzz 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

T-side openings. Opening success drops from 48% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms 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

Aim7.7
Positioning5.5
Utility6.6
Mechanics7.1
Opening Duels2.2
Win Impact8.1

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time588ms−32ms
first ⅓ avg 620ms → last ⅓ avg 588ms
Headshot accuracy20.6%+1.7%
first ⅓ avg 18.9% → last ⅓ avg 20.6%

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

0.12Best rating — inferno 13–6
131Biggest win — inferno
7Longest win streak
57In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
cacheA31171455%-0.01
infernoB21111052%0.01
dust2B168850%-0.01
ancientD103730%-0.02
mirageA85363%0.01
anubisS75271%-0.00
nuke42250%0.04
train110100%-0.01
overpass1010%-0.02
vertigo1010%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,472Matches
53%Win rate
0.87Avg K/D
69.1ADR
42%Headshot %

Clutches & streaks

45%1v1 clutch win
12%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno8367%1.0113.5
Dust26161%0.8812.6
Ancient4058%0.9713.6
Mirage3560%0.9213.5
Vertigo2759%1.0115.1
Overpass2365%0.9513.2
Train1070%0.7110.6
Anubis757%0.8712.9

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.

20.9%Headshot accuracy
34.5%Accuracy (enemy spotted)
37.7%Spray accuracy
81.9%Counter-strafing
8.9°Preaim
582msReaction time
24.9%T opening success
47.6%CT opening success
0.69Enemies flashed / flash
11.5%Flash assists
9.19HE damage / grenade
10.04Flashes / 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 24.8645% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke11–130.0522%29 Aug
inferno13–50.0716%29 Aug
mirage13–90.0519%29 Aug
inferno13–10.0523%29 Aug
anubis7–13-0.0720%29 Aug
cache10–130.0221%29 Aug
cache12–12-0.0416%29 Aug
inferno10–13-0.0312%29 Aug
anubis6–3-0.0614%29 Aug
dust215–15-0.0522%29 Aug
cache7–13-0.0232%29 Aug
train13–10-0.0123%23 Aug
cache13–5-0.0415%23 Aug
dust210–13-0.0923%23 Aug
cache13–50.0720%13 Aug
ancient9–13-0.0226%13 Aug
inferno13–100.0125%13 Aug
cache13–110.0718%13 Aug
inferno8–13-0.0123%13 Aug
inferno5–13-0.0312%12 Aug
inferno3–13-0.0738%30 Jul
cache15–150.0322%30 Jul
inferno13–80.0029%29 Jul
cache13–100.0518%29 Jul
ancient13–9-0.0420%27 Jul
ancient13–70.0717%27 Jul
dust213–10-0.0118%27 Jul
inferno13–20.0921%23 Jul
ancient6–2-0.0218%23 Jul
dust29–13-0.0022%23 Jul
cache15–150.0418%22 Jul
ancient9–130.0027%22 Jul
dust213–30.0613%21 Jul
dust213–30.0217%21 Jul
cache13–70.0115%21 Jul
anubis13–10-0.0415%21 Jul
dust210–130.0418%20 Jul
cache6–13-0.0430%20 Jul
dust213–10-0.0219%19 Jul
inferno6–130.0617%19 Jul
ancient4–13-0.0727%19 Jul
dust211–2-0.0124%19 Jul
dust28–13-0.1014%18 Jul
inferno13–60.0422%18 Jul
dust213–11-0.0019%18 Jul
cache11–30.0317%18 Jul
inferno13–9-0.0328%18 Jul
inferno13–40.0533%18 Jul
ancient10–13-0.0320%18 Jul
dust29–130.0024%18 Jul
mirage12–120.0421%18 Jul
inferno12–12-0.0120%18 Jul
cache4–13-0.0614%17 Jul
ancient14–16-0.0223%17 Jul
cache13–6-0.0117%17 Jul
cache13–70.019%17 Jul
inferno13–4-0.0517%17 Jul
nuke11–130.0131%6 Jul
anubis13–20.0825%6 Jul
cache9–13-0.0129%6 Jul
dust24–13-0.0723%6 Jul
anubis7–13-0.0215%5 Jul
inferno7–13-0.0320%5 Jul
ancient6–13-0.0326%5 Jul
inferno15–150.0018%5 Jul
mirage13–110.0025%5 Jul
ancient10–13-0.0418%5 Jul
dust213–100.026%5 Jul
dust28–40.0817%24 Jun
cache13–9-0.029%23 Jun
cache5–13-0.0940%23 Jun
cache13–9-0.0114%15 Jun
cache8–1-0.0515%15 Jun
cache13–80.0222%13 Jun
cache11–13-0.0913%13 Jun
cache0–13-0.0819%13 Jun
cache13–8-0.0315%13 Jun
nuke13–90.0418%12 Jun
anubis13–50.0026%12 Jun
nuke9–70.0526%12 Jun
overpass5–9-0.0215%12 Jun
vertigo7–9-0.0126%12 Jun
inferno13–110.0222%11 Jun
dust210–130.0028%11 Jun
mirage13–50.0118%11 Jun
cache4–13-0.107%11 Jun
cache13–70.0225%11 Jun
cache13–9-0.0615%8 Jun
cache11–13-0.0017%8 Jun
cache12–120.0331%7 Jun
mirage10–130.0117%7 Jun
mirage13–9-0.0116%4 Jun
cache13–3-0.0224%4 Jun
anubis13–20.0813%4 Jun
inferno13–60.1218%4 Jun
cache13–10-0.0120%4 Jun
inferno1–60.000%4 Jun
mirage2–13-0.0020%4 Jun
inferno11–130.0530%4 Jun
mirage13–9-0.0521%4 Jun

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →