Pantsu

Pantsu — CS2 Stats

UG76561199021409874[U:1:1061144146]Steam profile ↗✓ No bans

1,116Tracked matches60%Win rate2024Tracked since
CSDB Rating7.6 StrongAggressive Rifler
Ladder ranks via Leetify

Performance scores

Aim87
Positioning74
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY573211Last 10057%Win rateTWLWWWLLLL

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

Player DNA

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

Aim8.7
Aggression10.0
Utility6.1
Positioning7.4
Opening Duels5.7

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

s1mple

Plays most like s1mple 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success.

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 87 — the mechanical foundation is a clear strength.

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 62% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 632ms 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

Aim8.7
Positioning7.4
Utility6.1
Mechanics7.8
Opening Duels5.7
Win Impact8.3

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time634ms+15ms
first ⅓ avg 618ms → last ⅓ avg 634ms
Headshot accuracy19.1%−2.0%
first ⅓ avg 21.1% → last ⅓ avg 19.1%

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

0.16Best rating — office 9–1
130Biggest win — dust2
7Longest win streak
45In matches decided by ≤2 rounds

Map breakdown

officeBest map · 80% over 5mirageWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
dust2A31181358%0.03
infernoA1911858%0.01
mirageC1871139%0.02
anubisB105550%0.02
ancientA85363%0.01
officeS54180%0.04
nuke330100%0.05
vertigo21150%0.08
cache220100%0.07
train1010%-0.09
shelter110100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

18.3%Headshot accuracy
43.2%Accuracy (enemy spotted)
50.6%Spray accuracy
85.2%Counter-strafing
10.2°Preaim
632msReaction time
44.2%T opening success
61.7%CT opening success
0.55Enemies flashed / flash
11.0%Flash assists
8.90HE damage / grenade
13.47Flashes / match

Recommended for you

Spend your practice time on Mirage

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust212–120.0313%28 Aug
ancient13–60.0415%28 Aug
mirage9–130.0110%27 Aug
dust213–90.0425%26 Aug
dust211–10.1020%24 Aug
dust213–40.0223%24 Aug
dust210–130.1314%24 Aug
dust211–130.0413%23 Aug
ancient3–13-0.0750%22 Aug
mirage9–13-0.0123%22 Aug
mirage13–20.0217%21 Aug
mirage12–120.0117%20 Aug
dust213–50.0621%19 Aug
inferno9–13-0.0116%18 Aug
dust213–60.0721%17 Aug
dust23–9-0.049%17 Aug
mirage8–130.0118%17 Aug
dust213–70.0416%17 Aug
office13–90.0517%16 Aug
mirage12–120.0811%16 Aug
train0–13-0.0914%15 Aug
dust212–12-0.0117%15 Aug
mirage13–60.0727%15 Aug
anubis13–8-0.0219%14 Aug
ancient13–40.0321%14 Aug
dust213–60.1331%14 Aug
inferno13–30.0424%14 Aug
anubis6–13-0.0316%12 Aug
dust213–60.0215%12 Aug
ancient12–120.0723%12 Aug
mirage13–9-0.0119%11 Aug
ancient6–13-0.0914%10 Aug
inferno7–130.0221%10 Aug
nuke13–40.079%10 Aug
inferno13–11-0.0013%10 Aug
inferno2–9-0.0236%10 Aug
nuke13–100.0718%10 Aug
mirage10–130.0316%9 Aug
inferno13–60.0722%7 Aug
dust213–4-0.1010%6 Aug
inferno13–3-0.0419%6 Aug
mirage12–120.0813%5 Aug
anubis13–90.0514%4 Aug
dust213–00.0520%4 Aug
inferno3–130.0017%2 Aug
mirage11–13-0.0121%2 Aug
vertigo13–100.0815%2 Aug
dust213–20.0123%2 Aug
office12–30.0258%2 Aug
cache13–50.0613%2 Aug
anubis13–70.0221%31 Jul
mirage13–5-0.0329%30 Jul
ancient13–80.0018%30 Jul
dust28–13-0.0016%29 Jul
dust28–13-0.0215%27 Jul
ancient13–5-0.028%27 Jul
dust213–2-0.0217%27 Jul
inferno11–13-0.0424%26 Jul
dust212–12-0.0127%26 Jul
inferno3–13-0.0519%25 Jul
mirage12–120.0520%25 Jul
anubis13–50.1015%25 Jul
inferno13–9-0.0520%25 Jul
anubis13–60.0410%24 Jul
mirage13–80.0717%23 Jul
dust28–130.0626%23 Jul
anubis12–120.0012%22 Jul
dust212–120.0123%21 Jul
mirage13–40.0118%21 Jul
inferno13–3-0.0220%20 Jul
vertigo7–130.0814%19 Jul
anubis12–12-0.0111%19 Jul
dust213–30.1622%19 Jul
dust213–70.0328%18 Jul
inferno13–40.0821%18 Jul
inferno13–5-0.0121%17 Jul
anubis11–130.0217%16 Jul
inferno5–13-0.0215%15 Jul
dust213–11-0.0118%14 Jul
inferno13–100.1319%13 Jul
inferno13–70.0430%13 Jul
ancient13–90.1520%12 Jul
shelter13–110.0723%12 Jul
nuke13–110.0223%12 Jul
mirage13–3-0.0115%10 Jul
mirage7–130.0110%10 Jul
dust23–130.1014%7 Jul
dust29–13-0.0337%6 Jul
mirage8–130.0521%6 Jul
cache13–100.0735%6 Jul
office11–13-0.0216%6 Jul
inferno10–130.0223%6 Jul
dust23–13-0.0430%6 Jul
anubis1–50.000%4 Jul
dust213–70.0225%4 Jul
dust213–30.1036%4 Jul
dust213–100.0521%4 Jul
office13–9-0.0128%4 Jul
office9–10.1625%4 Jul
inferno13–7-0.0017%4 Jul

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 →