PANK — CS2 Stats

76561198068981461[U:1:108715733]✓ No bans

1,295Tracked matches66%Win rate2020Tracked since
CSDB Rating7.3 StrongHybrid Rifler
Premier CS Rating23,623Top 50% of 819 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#3288 of 13708 tracked
Ladder ranks via Leetify

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CSDB.GGPANKPREMIER23,623 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning56
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY55432Last 10055%Win rateTLWWLLLLWW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim8.4
Aggression6.0
Utility7.1
Positioning5.6
Opening Duels3.3
Clutch3.6

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 95% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Preaim. Mechanical aim is strong but the crosshair sits 11.1° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 58% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 566ms 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

Aim8.4
Positioning5.6
Utility7.1
Mechanics7.5
Opening Duels3.5
Win Impact10.0

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time556ms−18ms
first ⅓ avg 574ms → last ⅓ avg 556ms
Headshot accuracy26.4%+3.3%
first ⅓ avg 23.0% → last ⅓ avg 26.4%

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

0.20Best rating — vertigo 13–3
130Biggest win — dust2
11Longest win streak
69In matches decided by ≤2 rounds
5Overtime games

Map breakdown

officeBest map · 67% over 6infernoWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
cacheB46232350%0.03
mirageA159660%0.03
dust2A148657%-0.00
infernoB115645%0.05
officeS64267%0.07
nuke32167%0.03
anubis220100%0.07
ancient1010%0.03
train110100%0.02
vertigo110100%0.20

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

736Matches
56%Win rate
1.34Avg K/D
78.6ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
25%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20250%1.2115.8
Dust219256%1.2715.8
Inferno8953%1.2416.3
Nuke6161%1.3416.1
Overpass2952%1.1318.0
Anubis2383%1.5019.7
Ancient2255%0.9816.8
Train540%0.8413.4

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.

28.3%Headshot accuracy
35.0%Accuracy (enemy spotted)
40.8%Spray accuracy
83.7%Counter-strafing
11.1°Preaim
566msReaction time
28.5%T opening success
58.3%CT opening success
0.62Enemies flashed / flash
12.7%Flash assists
6.88HE damage / grenade
19.55Flashes / 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 28.4879% — below the 40% mark we flag

Spend your practice time on Inferno

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache12–120.0138%26 Aug
ancient6–130.0336%26 Aug
cache13–70.0831%26 Aug
cache13–60.0826%26 Aug
cache9–13-0.0741%26 Aug
inferno5–130.0933%26 Aug
mirage1–90.000%23 Aug
mirage1–13-0.0810%23 Aug
mirage11–5-0.0950%20 Aug
dust213–0-0.180%19 Aug
train13–100.0224%18 Aug
dust213–9-0.0332%14 Aug
cache5–13-0.0521%10 Aug
inferno6–7-0.0025%7 Aug
mirage3–130.0122%7 Aug
dust213–50.1128%7 Aug
dust213–40.0819%6 Aug
inferno10–13-0.0130%4 Aug
mirage13–80.0328%1 Aug
inferno13–11-0.0021%31 Jul
cache13–70.0627%31 Jul
vertigo13–30.2048%29 Jul
anubis13–30.0826%28 Jul
anubis13–20.0622%28 Jul
cache16–120.0232%17 Jul
dust213–90.0533%17 Jul
dust213–8-0.0127%16 Jul
mirage13–40.0517%14 Jul
office13–60.0325%9 Jul
office6–130.1035%8 Jul
office9–13-0.0124%8 Jul
cache13–9-0.0421%8 Jul
inferno13–110.0820%7 Jul
mirage19–17-0.0416%6 Jul
inferno12–160.0124%5 Jul
nuke13–100.0423%4 Jul
dust20–4-0.0550%4 Jul
cache13–20.0914%4 Jul
cache13–6-0.0215%4 Jul
inferno13–40.0928%30 Jun
dust25–13-0.0525%29 Jun
dust213–7-0.0123%26 Jun
cache11–13-0.0414%24 Jun
mirage9–10.1421%20 Jun
mirage13–90.0616%20 Jun
mirage13–110.0820%19 Jun
inferno13–40.1220%19 Jun
dust213–40.0224%19 Jun
inferno5–130.1020%17 Jun
inferno0–8-0.0114%17 Jun
cache13–70.0524%17 Jun
cache13–20.0717%17 Jun
dust210–130.0818%14 Jun
mirage23–250.0417%14 Jun
cache11–130.0219%14 Jun
nuke11–13-0.0317%13 Jun
cache13–40.1020%12 Jun
cache7–130.0917%9 Jun
inferno13–70.0417%7 Jun
mirage15–150.0320%7 Jun
cache9–130.1124%6 Jun
cache7–130.079%6 Jun
cache13–110.0118%6 Jun
mirage13–60.0621%5 Jun
dust211–13-0.0319%5 Jun
dust210–130.0724%2 Jun
cache4–13-0.0324%26 May
cache2–130.0127%25 May
cache9–13-0.0123%24 May
cache9–130.0422%24 May
cache7–13-0.0230%24 May
cache11–13-0.0122%24 May
cache13–90.1826%22 May
cache13–40.0115%22 May
cache13–10.1021%22 May
dust27–11-0.0715%22 May
nuke13–70.0836%22 May
cache13–70.0431%22 May
cache7–130.0311%22 May
cache11–130.1131%22 May
mirage13–90.0723%22 May
cache0–7-0.060%21 May
cache7–0-0.0525%21 May
cache3–130.0333%21 May
cache8–130.0337%21 May
cache13–10.1436%21 May
cache5–130.0122%20 May
cache13–100.0410%20 May
cache13–60.0425%20 May
cache9–13-0.0117%20 May
cache13–9-0.0619%20 May
cache13–11-0.0221%20 May
office13–70.0521%19 May
cache13–100.0719%19 May
office13–80.1115%19 May
cache13–50.0123%19 May
office13–20.1417%18 May
mirage11–130.0414%18 May
cache8–13-0.0229%18 May
cache3–13-0.0544%3 May

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →