Pandaman — CS2 Stats

76561199221116909[U:1:1260851181]✓ No bans

645Tracked matches52%Win rate2025Tracked since
529Hours in CS9Hrs last 2 wks
CSDB Rating3.0 Learning
Ladder ranks via Leetify

Performance scores

Aim37
Positioning29
Utility15

0–100 skill scores via Leetify.

Recent form

STEADY46468Last 10046%Win rateWWWLWLWLWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim3.7
Aggression0.8
Utility1.5
Positioning2.9
Opening Duels0.0

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

NiKo

Plays most like NiKo 61% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 633ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.7
Positioning2.9
Utility1.5
Mechanics3.6
Opening Duels0.0
Win Impact5.6

Composite 3.0/10 (Learning), 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 rating-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time644ms−47ms
first ⅓ avg 691ms → last ⅓ avg 644ms
Headshot accuracy8.5%+1.1%
first ⅓ avg 7.4% → last ⅓ avg 8.5%

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

0.09Best rating — dust2 13–2
130Biggest win — train
5Longest win streak
W3Current streak
88In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 71% over 7anubisWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C30121840%-0.04
mirageC167944%-0.04
anubisC135838%-0.03
vertigoC94544%-0.04
nukeA74357%-0.04
cacheS75271%-0.03
ancientC52340%-0.04
inferno41325%-0.04
train43175%-0.02
overpass32167%-0.05
fachwerk110100%0.07
shelter1010%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,345Lifetime kills
0.61K/D
857Matches
50.6%Match win rate · Top 25% of tracked players
32.9%Headshot %
0.0%Shot accuracy
947MVPs
334Hours (in match)
829Bombs planted
127Bombs defused

Most-used weapons

Lifetime map wins

2,111dust2
969train
780vertigo
588inferno
393nuke
1italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

8.9%Headshot accuracy
33.0%Accuracy (enemy spotted)
34.9%Spray accuracy
66.3%Counter-strafing
10.0°Preaim
633msReaction time
17.1%T opening success
26.7%CT opening success
0.24Enemies flashed / flash
1.5%Flash assists
8.61HE damage / grenade
1.37Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 8.8604% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.2414 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 17.0929% — below the 40% mark we flag

Spend your practice time on Anubis

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–20.0921%24 Aug
mirage13–5-0.067%24 Aug
nuke13–9-0.009%24 Aug
cache4–13-0.0215%23 Aug
inferno13–4-0.040%23 Aug
dust26–13-0.108%23 Aug
dust213–30.038%23 Aug
inferno7–13-0.007%22 Aug
dust213–5-0.074%22 Aug
nuke8–13-0.105%22 Aug
dust26–13-0.0813%21 Aug
anubis6–13-0.0612%21 Aug
mirage13–11-0.0620%21 Aug
dust213–11-0.056%17 Aug
mirage13–5-0.039%17 Aug
train13–0-0.015%15 Aug
nuke13–10-0.0311%10 Aug
mirage10–13-0.058%10 Aug
nuke13–11-0.0610%8 Aug
vertigo3–13-0.0911%8 Aug
dust24–13-0.054%8 Aug
inferno4–13-0.056%3 Aug
dust212–120.0111%3 Aug
mirage7–2-0.040%3 Aug
vertigo13–7-0.047%3 Aug
mirage7–13-0.0915%21 Jul
dust28–3-0.016%21 Jul
vertigo7–13-0.057%18 Jul
dust25–13-0.1011%18 Jul
anubis4–13-0.023%18 Jul
train2–13-0.093%17 Jul
mirage12–12-0.055%17 Jul
dust29–13-0.0415%17 Jul
cache13–90.004%12 Jul
mirage3–13-0.0710%12 Jul
fachwerk13–50.071%12 Jul
shelter12–120.077%12 Jul
cache13–5-0.047%11 Jul
mirage13–20.0310%11 Jul
cache13–8-0.0311%3 Jul
overpass2–10-0.059%25 Jun
dust213–110.019%25 Jun
dust212–12-0.103%25 Jun
dust213–3-0.0511%24 Jun
dust26–13-0.028%16 Jun
cache13–10-0.0813%15 May
mirage13–70.036%15 May
ancient10–130.0113%11 May
dust211–130.0312%11 May
dust28–13-0.068%6 May
dust213–11-0.0521%2 May
anubis11–13-0.027%2 May
anubis10–13-0.0410%1 May
mirage11–130.048%1 May
cache6–13-0.026%30 Apr
dust212–12-0.055%30 Apr
nuke12–12-0.067%30 Apr
dust212–12-0.053%29 Apr
mirage6–13-0.0012%29 Apr
cache13–11-0.054%29 Apr
mirage16–14-0.067%27 Apr
ancient5–13-0.088%27 Apr
train13–7-0.026%25 Apr
anubis13–4-0.076%25 Apr
nuke9–3-0.008%25 Apr
vertigo11–13-0.007%25 Apr
dust25–13-0.046%25 Apr
nuke10–13-0.0410%25 Apr
anubis13–6-0.078%25 Apr
mirage10–13-0.048%25 Apr
ancient13–7-0.026%23 Apr
dust26–13-0.0215%23 Apr
vertigo3–13-0.087%23 Apr
vertigo8–13-0.018%23 Apr
anubis9–10-0.004%23 Apr
dust211–13-0.028%23 Apr
dust25–13-0.064%22 Apr
anubis13–9-0.0014%22 Apr
overpass16–14-0.043%22 Apr
dust211–13-0.0617%22 Apr
ancient9–13-0.073%20 Apr
mirage1–13-0.100%18 Apr
anubis8–13-0.097%18 Apr
dust213–10-0.0313%18 Apr
dust213–10-0.005%17 Apr
inferno12–12-0.063%8 Apr
dust213–3-0.039%8 Apr
anubis11–13-0.044%8 Apr
vertigo13–10.012%8 Apr
anubis13–5-0.0011%8 Apr
vertigo13–4-0.043%8 Apr
anubis13–10.043%7 Apr
dust210–13-0.0715%7 Apr
overpass13–7-0.0713%7 Apr
train13–10.053%4 Apr
vertigo13–6-0.0911%4 Apr
ancient13–4-0.0312%4 Apr
anubis7–13-0.0412%4 Apr
dust213–8-0.056%4 Apr
mirage7–13-0.120%4 Apr

Match data via Leetify.

Recent teammates

Milestones

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