Trash Panda

Trash Panda — CS2 Stats

76561199022248491[U:1:1061982763]Steam profile ↗✓ No bans

2,821Tracked matches55%Win rate2020Tracked since
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating15,051Purple band · top ~28.2% of ranked players (population est.)
CSDB Leaderboard#20530 of 33287 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGTrash PandaPREMIER15,051 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning58
Utility50

0–100 skill scores via Leetify.

Recent form

COLD47494Last 10047%Win rateLLTLLLWLWW

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

Player DNA

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

Aim6.5
Aggression9.3
Utility5.0
Positioning5.8
Opening Duels3.9
Clutch0.2

Effective flashesLimited utility dependence

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

sh1ro

Plays most like sh1ro 88% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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

Reaction time. 585ms 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

Aim6.5
Positioning5.8
Utility5.0
Mechanics4.7
Opening Duels3.9
Win Impact6.7

Composite 5.6/10 (Solid), 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 0.02 → last ⅓ avg 0.02
Reaction time590ms−34ms
first ⅓ avg 624ms → last ⅓ avg 590ms
Headshot accuracy13.7%−0.9%
first ⅓ avg 14.6% → last ⅓ avg 13.7%

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 — dust2 13–2
130Biggest win — anubis
8Longest win streak
L2Current streak
85In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 57% over 7infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB26141254%0.01
dust2D1651131%0.02
nukeB147750%0.03
anubisB137654%0.01
ancientB137654%0.00
infernoD92722%-0.03
cacheA74357%0.03
vertigo21150%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

53Matches
42%Win rate
0.88Avg K/D
82.7ADR
35%Headshot %

Clutches & streaks

21%1v1 clutch win
20%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage922%1.0717.2
Ancient450%0.9813.0
Anubis367%1.0018.3
Vertigo250%1.0013.5
Nuke10%0.6710.0
Cache1100%1.5018.0
Dust210%0.5910.0
Inferno1100%0.6511.0

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.

13.8%Headshot accuracy
35.8%Accuracy (enemy spotted)
37.7%Spray accuracy
71.0%Counter-strafing
8.3°Preaim
585msReaction time
43.0%T opening success
48.5%CT opening success
0.74Enemies flashed / flash
6.3%Flash assists
11.57HE damage / grenade
4.68Flashes / 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 13.7727% — below the 15% mark we flag

    Aim Training
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0713%28 Aug
cache1–130.0114%28 Aug
mirage15–150.0117%28 Aug
mirage14–160.037%27 Aug
dust27–130.0119%27 Aug
mirage1–7-0.050%27 Aug
nuke13–90.048%26 Aug
dust23–13-0.0510%25 Aug
anubis13–90.0123%25 Aug
ancient13–110.0713%25 Aug
anubis10–130.0315%25 Aug
cache10–130.0914%24 Aug
mirage13–9-0.004%24 Aug
cache8–10.0119%24 Aug
mirage13–70.0424%24 Aug
mirage8–13-0.0422%24 Aug
mirage10–13-0.0010%24 Aug
nuke13–100.1210%23 Aug
anubis3–13-0.0418%23 Aug
mirage6–13-0.0212%23 Aug
cache13–60.0311%23 Aug
dust213–70.1029%23 Aug
anubis13–70.1115%23 Aug
mirage13–70.0513%21 Aug
nuke13–100.1223%21 Aug
mirage13–6-0.006%20 Aug
mirage13–30.069%20 Aug
mirage13–80.0211%20 Aug
dust28–130.0411%20 Aug
mirage16–120.0310%18 Aug
nuke13–70.0816%18 Aug
inferno13–10-0.0219%18 Aug
ancient14–16-0.019%17 Aug
anubis6–13-0.0216%17 Aug
mirage13–11-0.039%17 Aug
dust29–130.0212%16 Aug
dust24–13-0.0210%16 Aug
ancient15–15-0.0322%16 Aug
inferno11–13-0.024%16 Aug
ancient13–11-0.017%15 Aug
cache13–70.0117%15 Aug
anubis13–50.067%14 Aug
nuke8–13-0.0617%14 Aug
dust213–60.0317%14 Aug
nuke13–50.0113%14 Aug
ancient16–130.0210%14 Aug
mirage6–13-0.030%14 Aug
dust27–13-0.046%14 Aug
mirage13–70.0714%13 Aug
inferno13–6-0.006%13 Aug
nuke6–13-0.017%12 Aug
cache10–130.0210%11 Aug
dust212–16-0.0219%11 Aug
ancient16–13-0.0214%10 Aug
dust213–110.0313%10 Aug
anubis13–80.075%10 Aug
ancient13–8-0.0226%10 Aug
ancient13–16-0.0313%9 Aug
anubis13–7-0.074%9 Aug
ancient13–9-0.0113%9 Aug
inferno8–13-0.0019%9 Aug
dust25–13-0.028%7 Aug
anubis10–13-0.019%7 Aug
inferno4–13-0.046%6 Aug
anubis3–13-0.1018%6 Aug
dust211–13-0.0111%6 Aug
nuke5–13-0.0315%6 Aug
mirage15–15-0.0217%6 Aug
mirage15–15-0.0323%5 Aug
inferno8–13-0.088%5 Aug
mirage13–110.0415%5 Aug
ancient14–160.0515%4 Aug
cache13–11-0.0015%4 Aug
anubis13–16-0.0012%3 Aug
ancient13–100.0118%3 Aug
nuke5–130.0310%3 Aug
mirage9–130.0119%3 Aug
nuke13–110.0316%2 Aug
ancient8–130.0915%2 Aug
anubis13–90.037%2 Aug
mirage13–40.0420%1 Aug
dust213–110.0910%1 Aug
inferno1–13-0.0416%1 Aug
nuke6–13-0.0315%1 Aug
dust210–130.0420%1 Aug
vertigo5–13-0.0028%1 Aug
mirage7–13-0.0113%31 Jul
nuke8–130.0611%31 Jul
mirage10–13-0.0110%31 Jul
nuke13–100.0726%31 Jul
inferno3–13-0.013%31 Jul
ancient10–13-0.079%31 Jul
mirage13–90.1117%30 Jul
anubis13–00.0712%30 Jul
vertigo13–90.0513%30 Jul
dust29–13-0.0419%28 Jul
dust213–20.2223%28 Jul
nuke0–13-0.040%28 Jul
mirage13–9-0.0715%28 Jul
mirage8–1-0.0417%28 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 →