Panda — CS2 Stats

76561198060645945[U:1:100380217]

928Tracked matches33%Win rate2023Tracked since
CSDB Rating4.4 Developing
Premier CS Rating17,182Purple band · top ~19.7% of ranked players (population est.)
CSDB Leaderboard#17912 of 33056 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGPandaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER17,182 · Purple bandcsdb.gg/stats

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Performance scores

Aim50
Positioning42
Utility60

0–100 skill scores via Leetify.

Recent form

COLD43552Last 10043%Win rateWLLLLLLLLL

Last 10 vs previous 10: -60pp win rate · -0.06 avg rating

Player DNA

Aim5.0
Aggression4.8
Utility6.0
Positioning4.2
Opening Duels2.3
Clutch1.0

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 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 48% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 603ms 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

Aim5.0
Positioning4.2
Utility6.0
Mechanics6.3
Opening Duels2.3
Win Impact0.0

Composite 4.4/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time608ms−47ms
first ⅓ avg 655ms → last ⅓ avg 608ms
Headshot accuracy15.8%−0.2%
first ⅓ avg 16.0% → last ⅓ avg 15.8%

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

0.16Best rating — cache 13–6
131Biggest win — cache
4Longest win streak
106In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 50% over 12trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B21101148%-0.01
infernoC1761135%0.00
ancientC145936%-0.01
cacheB126650%0.00
anubisB115645%-0.01
nukeC94544%-0.04
mirageB84450%-0.03
trainD51420%0.01
overpass1010%-0.01
italy110100%0.01
office110100%-0.11

Across the last 100 tracked matches.

Faceit stats

Combat

189Matches
50%Win rate
0.67Avg K/D
85.2ADR
29%Headshot %

Clutches & streaks

25%1v1 clutch win
10%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno475%1.1315.8
Dust2367%1.3114.3
Ancient2100%3.2513.5
Nuke10%0.6817.0
Anubis1100%1.4217.0
Mirage1100%2.0010.0

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.

15.7%Headshot accuracy
29.0%Accuracy (enemy spotted)
29.1%Spray accuracy
78.4%Counter-strafing
9.7°Preaim
603msReaction time
30.3%T opening success
48.2%CT opening success
0.59Enemies flashed / flash
3.3%Flash assists
11.80HE damage / grenade
7.04Flashes / 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 30.3465% — below the 40% mark we flag

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
train13–110.0222%12 Aug
mirage3–13-0.1024%10 Aug
anubis4–13-0.0426%10 Aug
dust22–130.0115%10 Aug
anubis7–13-0.0510%8 Aug
cache5–13-0.0316%8 Aug
cache7–13-0.0920%5 Aug
nuke4–9-0.1217%5 Aug
dust23–13-0.0822%2 Aug
train11–130.0510%2 Aug
cache13–1-0.0215%31 Jul
dust216–14-0.0224%31 Jul
inferno13–30.0118%31 Jul
cache13–60.1616%31 Jul
overpass4–13-0.0113%31 Jul
cache13–30.0133%29 Jul
dust213–20.0132%29 Jul
inferno4–13-0.018%29 Jul
nuke16–12-0.0110%28 Jul
dust26–130.0122%28 Jul
inferno10–13-0.076%28 Jul
dust210–13-0.086%28 Jul
inferno8–13-0.0323%25 Jul
inferno13–11-0.0110%25 Jul
ancient7–13-0.0412%25 Jul
anubis10–130.067%25 Jul
nuke10–13-0.0513%25 Jul
inferno13–90.128%25 Jul
inferno4–130.0515%25 Jul
dust21–13-0.0911%25 Jul
inferno8–13-0.0520%24 Jul
anubis13–10-0.0212%24 Jul
italy13–100.019%23 Jul
cache13–110.0110%22 Jul
dust213–100.0523%21 Jul
inferno10–13-0.018%21 Jul
ancient13–7-0.0415%19 Jul
ancient13–70.1211%19 Jul
cache13–90.058%18 Jul
nuke5–13-0.076%18 Jul
anubis13–10-0.029%18 Jul
inferno13–80.0521%18 Jul
inferno5–13-0.0225%18 Jul
mirage16–140.0410%18 Jul
ancient7–13-0.018%16 Jul
cache8–13-0.0023%15 Jul
inferno15–15-0.0212%15 Jul
anubis5–13-0.0910%13 Jul
dust213–8-0.036%13 Jul
mirage7–13-0.0216%13 Jul
dust213–8-0.0414%13 Jul
nuke13–1-0.0113%13 Jul
ancient16–12-0.0111%13 Jul
dust213–70.0618%13 Jul
dust211–130.0217%11 Jul
inferno13–110.0213%11 Jul
anubis13–7-0.0012%11 Jul
mirage3–10-0.0818%11 Jul
anubis16–14-0.028%11 Jul
ancient5–13-0.0618%11 Jul
ancient10–13-0.0217%10 Jul
nuke13–8-0.0133%10 Jul
dust213–100.0311%10 Jul
office13–9-0.1116%10 Jul
anubis11–13-0.056%7 Jul
mirage13–8-0.0110%7 Jul
cache10–13-0.0226%7 Jul
cache13–100.0219%7 Jul
anubis13–100.0010%3 Jul
dust213–50.0312%3 Jul
ancient5–13-0.0216%3 Jul
dust23–13-0.0732%3 Jul
cache11–13-0.0416%2 Jul
inferno14–160.007%27 Jun
ancient13–90.0610%27 Jun
ancient3–130.0115%27 Jun
inferno7–13-0.0110%26 Jun
inferno13–110.0312%26 Jun
dust25–13-0.0215%26 Jun
mirage13–110.0315%26 Jun
dust29–13-0.0116%26 Jun
dust215–15-0.0814%25 Jun
dust213–60.0919%23 Jun
ancient9–13-0.0811%23 Jun
train5–130.0418%23 Jun
anubis14–160.0615%22 Jun
train6–130.0324%22 Jun
train4–10-0.0913%18 Jun
cache8–13-0.0124%15 Jun
inferno10–13-0.036%15 Jun
nuke0–13-0.1050%15 Jun
mirage13–8-0.0111%13 Jun
ancient13–8-0.0514%13 Jun
dust216–140.025%12 Jun
ancient3–13-0.0811%12 Jun
nuke16–120.0226%11 Jun
mirage6–13-0.0613%9 Jun
dust29–13-0.0020%9 Jun
nuke5–13-0.0415%9 Jun
ancient7–130.0214%9 Jun

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 →