PandaCats — CS2 Stats

76561198315521181[U:1:355255453]✓ No bans

842Tracked matches37%Win rate2022Tracked since
CSDB Rating6.3 SolidAggressive Rifler
Premier CS Rating24,881Top 50% of 819 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)
CSDB Leaderboard#1936 of 10698 tracked
Ladder ranks via Leetify

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CSDB.GGPandaCatsPREMIER24,881 · Pink bandcsdb.gg/stats

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Performance scores

Aim93
Positioning60
Utility54

0–100 skill scores via Leetify.

Recent form

COLD58393Last 10058%Win rateWLLLLLLWLW

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim9.3
Aggression7.5
Utility5.4
Positioning6.0
Opening Duels2.3
Clutch4.8

Sharp aimerStrong 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

b1t

Plays most like b1t 93% playstyle similarity

Most alike: aim 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 49% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.3
Positioning6.0
Utility5.4
Mechanics7.4
Opening Duels2.4
Win Impact0.7

Composite 6.3/10 (Solid), 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 rating0.03−0.04
first ⅓ avg 0.07 → last ⅓ avg 0.03
Reaction time527ms−49ms
first ⅓ avg 577ms → last ⅓ avg 527ms
Headshot accuracy20.8%−3.5%
first ⅓ avg 24.3% → last ⅓ avg 20.8%

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

0.22Best rating — cache 13–8
132Biggest win — inferno
9Longest win streak
103In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 100% over 5ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2415963%0.05
dust2A24141058%0.06
anubisB137654%0.07
ancientC114736%0.06
cacheB115645%0.02
infernoS96367%0.02
overpassS550100%0.06
nuke32167%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

288Matches
53%Win rate
1.39Avg K/D
96.7ADR
49%Headshot %

Clutches & streaks

44%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3855%1.4120.6
Anubis1567%1.7422.6
Ancient1436%1.4617.6
Inferno1457%1.0718.8
Dust2956%1.1418.9
Train862%1.4619.8
Nuke475%1.4318.8
Overpass30%1.7031.0

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.

20.3%Headshot accuracy
41.1%Accuracy (enemy spotted)
43.5%Spray accuracy
83.5%Counter-strafing
6.9°Preaim
520msReaction time
29.7%T opening success
49.0%CT opening success
0.52Enemies flashed / flash
5.2%Flash assists
7.40HE damage / grenade
10.38Flashes / 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 29.6626% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–5-0.0424%25 Aug
anubis5–13-0.0229%25 Aug
dust26–13-0.0431%25 Aug
mirage0–13-0.0715%23 Aug
inferno10–130.0516%18 Aug
ancient8–130.0421%18 Aug
anubis13–160.059%18 Aug
cache13–8-0.047%16 Aug
inferno2–13-0.0335%16 Aug
cache16–130.0221%16 Aug
ancient6–13-0.065%11 Aug
dust27–130.0538%11 Aug
nuke13–10-0.0220%2 Aug
mirage1–13-0.0426%2 Aug
anubis13–100.0414%2 Aug
mirage15–15-0.0623%2 Aug
cache5–130.0036%2 Aug
ancient12–120.1424%2 Aug
anubis13–70.0522%29 Jul
anubis13–110.0920%29 Jul
dust29–13-0.0415%29 Jul
ancient5–130.087%26 Jul
dust24–13-0.0126%26 Jul
cache13–80.2219%26 Jul
dust22–130.0326%26 Jul
mirage13–100.1713%26 Jul
anubis0–4-0.060%24 Jul
nuke5–130.0434%18 Jul
dust213–60.0721%13 Jul
mirage15–150.0212%13 Jul
inferno13–20.1036%12 Jul
mirage13–90.0722%12 Jul
dust213–30.1116%12 Jul
cache13–16-0.0219%12 Jul
mirage13–6-0.0014%12 Jul
anubis4–130.0814%6 Jul
dust213–50.1015%6 Jul
dust213–110.0318%29 Jun
inferno13–11-0.0421%29 Jun
anubis10–130.1021%28 Jun
mirage13–70.2121%28 Jun
dust210–130.1323%28 Jun
mirage13–90.0519%28 Jun
inferno13–110.0917%14 Jun
dust213–100.0522%14 Jun
ancient13–70.069%14 Jun
dust213–160.0518%7 Jun
mirage13–40.1121%7 Jun
ancient13–70.0413%7 Jun
dust213–70.0227%7 Jun
dust24–13-0.0216%4 Jun
mirage16–130.0425%1 Jun
ancient2–13-0.0120%1 Jun
anubis13–110.1228%1 Jun
dust213–100.0824%1 Jun
mirage13–90.0615%1 Jun
ancient13–70.1422%27 May
inferno0–13-0.0614%27 May
inferno13–30.0022%27 May
inferno13–11-0.0222%27 May
mirage11–130.0413%25 May
mirage10–10.0427%25 May
nuke13–20.0439%25 May
overpass13–80.1028%25 May
dust20–130.0121%25 May
mirage7–130.1228%25 May
dust213–100.0828%24 May
anubis16–120.0118%24 May
overpass16–120.1230%24 May
ancient11–130.0331%24 May
cache6–130.0338%29 Apr
cache13–60.0524%29 Apr
cache13–110.0523%29 Apr
cache8–13-0.0023%29 Apr
cache3–8-0.0414%29 Apr
cache0–7-0.0614%29 Apr
dust213–30.0131%14 Apr
ancient13–80.0936%14 Apr
dust213–80.1529%14 Apr
dust213–60.1224%8 Apr
dust213–110.1130%8 Apr
mirage13–40.0511%1 Apr
anubis13–90.1425%1 Apr
ancient10–130.0517%1 Apr
anubis10–130.1429%1 Apr
mirage13–110.2131%3 Mar
anubis13–50.1518%28 Feb
mirage13–80.1323%28 Feb
dust213–80.2126%27 Feb
dust213–90.1623%27 Feb
overpass13–50.1116%21 Feb
mirage13–110.1030%19 Feb
mirage13–50.0923%19 Feb
inferno13–80.0719%19 Feb
mirage11–13-0.0314%18 Feb
mirage3–13-0.0633%18 Feb
dust29–130.0131%18 Feb
overpass13–100.0218%18 Feb
overpass13–2-0.0423%17 Feb
mirage9–130.0528%17 Feb

Match data via Leetify.

Recent teammates

Milestones

500 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →