PanDa <3 — CS2 Stats

76561198051875688[U:1:91609960]

537Tracked matches40%Win rate2021Tracked since
CSDB Rating4.0 DevelopingHybrid Rifler
Premier CS Rating7,145Light Blue band · top ~68.5% of ranked players (population est.)
CSDB Leaderboard#28192 of 37435 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGPanDa <3FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER7,145 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning48
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY45523Last 10045%Win rateLLLWLWWWWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim6.0
Aggression6.9
Utility4.6
Positioning4.8
Opening Duels1.8
Clutch2.4

Strong CT-side openerLimited 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

ropz

Plays most like ropz 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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 45% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 627ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim6.0
Positioning4.8
Utility4.6
Mechanics4.1
Opening Duels1.9
Win Impact1.7

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time647ms−20ms
first ⅓ avg 666ms → last ⅓ avg 647ms
Headshot accuracy17.5%+0.6%
first ⅓ avg 16.8% → last ⅓ avg 17.5%

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

0.16Best rating — dust2 13–5
131Biggest win — inferno
4Longest win streak
L3Current streak
85In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 75% over 8ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B39182146%-0.00
infernoC2381535%-0.01
nukeB126650%-0.01
cacheC83538%-0.00
mirageS86275%0.00
ancientD62433%-0.01
anubis21150%0.01
vertigo110100%0.00
overpass1010%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

265Matches
46%Win rate
1.05Avg K/D
76.3ADR
42%Headshot %

Clutches & streaks

32%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust26543%1.0615.1
Mirage5147%0.9814.6
Anubis3842%0.9313.2
Inferno3148%1.3417.2
Ancient2737%1.0515.4
Nuke2556%1.0713.6
Cache1958%1.0215.1
Train2100%1.3814.0

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.

17.2%Headshot accuracy
33.4%Accuracy (enemy spotted)
36.9%Spray accuracy
68.2%Counter-strafing
8.0°Preaim
627msReaction time
28.6%T opening success
45.5%CT opening success
0.65Enemies flashed / flash
2.0%Flash assists
9.46HE damage / grenade
4.54Flashes / 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 28.5979% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–130.0122%29 Aug
inferno6–130.0310%29 Aug
dust211–13-0.0515%20 Aug
nuke16–130.0827%18 Aug
ancient2–13-0.0521%18 Aug
dust213–90.0622%16 Aug
inferno13–7-0.0320%16 Aug
cache10–00.0433%16 Aug
nuke13–60.0114%14 Aug
dust211–13-0.0215%13 Aug
dust26–130.0115%13 Aug
dust22–13-0.0510%12 Aug
dust213–70.0816%11 Aug
dust213–10-0.0417%11 Aug
nuke10–13-0.037%10 Aug
dust213–110.0022%10 Aug
ancient13–100.0216%9 Aug
mirage13–9-0.0012%9 Aug
dust27–13-0.0210%9 Aug
ancient10–13-0.0418%9 Aug
cache10–13-0.0214%9 Aug
inferno3–130.0621%8 Aug
mirage6–130.0233%8 Aug
nuke7–130.039%6 Aug
anubis13–9-0.0018%4 Aug
mirage10–13-0.0611%31 Jul
inferno6–13-0.0111%31 Jul
inferno8–130.0125%31 Jul
dust213–8-0.0316%28 Jul
dust25–13-0.0422%27 Jul
dust21–13-0.0524%27 Jul
mirage13–100.0710%27 Jul
mirage13–110.0522%26 Jul
dust211–130.0616%26 Jul
inferno9–13-0.0618%26 Jul
cache5–13-0.0412%26 Jul
dust26–130.0223%26 Jul
nuke13–70.009%26 Jul
vertigo13–70.0010%25 Jul
inferno2–9-0.2356%25 Jul
nuke13–10-0.0119%25 Jul
nuke10–130.0123%25 Jul
inferno5–13-0.043%24 Jul
dust27–130.0210%24 Jul
inferno4–13-0.077%24 Jul
inferno13–50.0421%23 Jul
dust213–40.0223%23 Jul
inferno7–130.0826%23 Jul
dust213–8-0.0114%23 Jul
nuke13–40.0312%22 Jul
cache9–13-0.0218%22 Jul
inferno13–40.0017%21 Jul
nuke7–9-0.217%21 Jul
inferno2–9-0.1325%21 Jul
dust28–13-0.0717%20 Jul
inferno15–15-0.0322%20 Jul
dust216–14-0.0420%19 Jul
inferno6–13-0.0315%19 Jul
inferno13–30.0712%19 Jul
dust29–130.0216%19 Jul
dust23–13-0.0118%19 Jul
ancient7–130.0022%19 Jul
cache13–16-0.0110%18 Jul
dust213–90.0514%18 Jul
dust25–13-0.0620%18 Jul
inferno13–100.0411%17 Jul
dust213–6-0.0128%17 Jul
dust210–130.0233%17 Jul
ancient13–110.048%16 Jul
cache13–5-0.0417%16 Jul
dust213–40.0122%16 Jul
inferno13–10.0622%15 Jul
nuke7–130.0717%15 Jul
dust213–50.1617%15 Jul
dust213–40.0212%14 Jul
dust213–11-0.0620%14 Jul
nuke4–13-0.027%14 Jul
inferno13–3-0.035%14 Jul
dust213–40.1015%14 Jul
dust213–100.0216%13 Jul
dust29–13-0.0512%13 Jul
dust215–15-0.0214%13 Jul
anubis15–150.0210%13 Jul
cache8–13-0.0217%12 Jul
dust213–11-0.0211%12 Jul
dust213–90.0212%12 Jul
dust20–6-0.0317%11 Jul
inferno4–13-0.0613%11 Jul
inferno8–130.0314%11 Jul
dust26–13-0.0313%11 Jul
ancient5–13-0.0227%11 Jul
mirage13–90.0324%11 Jul
mirage13–11-0.0413%9 Jul
dust211–130.0216%5 Jul
cache13–10.0721%5 Jul
dust26–13-0.0131%5 Jul
inferno13–110.0114%5 Jul
mirage13–10-0.0324%5 Jul
nuke13–5-0.0319%5 Jul
overpass8–13-0.0723%1 Jul

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 →