Flatulent Panda — CS2 Stats

76561198208762557[U:1:248496829]

2,143Tracked matches43%Win rate2020Tracked since
CSDB Rating4.6 DevelopingPassive Rifler
Premier CS Rating14,170Blue band · top ~32.8% of ranked players (population est.)
CSDB Leaderboard#30850 of 48795 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGFlatulent PandaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,170 · Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning39
Utility38

0–100 skill scores via Leetify.

Recent form

COLD48493Last 10048%Win rateWLWLWLLLLT

Last 10 vs previous 10: -30pp win rate · -0.00 avg rating

Player DNA

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

Aim6.6
Aggression4.0
Utility3.8
Positioning3.9
Opening Duels0.0
Clutch6.0

Limited 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

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Reaction time. 681ms 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

Aim6.6
Positioning3.9
Utility3.8
Mechanics8.3
Opening Duels0.2
Win Impact2.6

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time678ms−29ms
first ⅓ avg 708ms → last ⅓ avg 678ms
Headshot accuracy15.5%+3.2%
first ⅓ avg 12.3% → last ⅓ avg 15.5%

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

0.10Best rating — inferno 13–7
131Biggest win — nuke
7Longest win streak
137In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 80% over 5ancientWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoC2071335%-0.01
ancientD1751229%-0.02
nukeA159660%-0.02
anubisB136746%-0.01
cacheA127558%-0.01
mirageA127558%-0.02
dust2B63350%-0.03
overpassS54180%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,408Matches
50%Win rate
0.84Avg K/D
69.5ADR
33%Headshot %

Clutches & streaks

50%1v1 clutch win
33%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient40%0.7112.0
Inferno425%0.6314.0
Anubis367%1.2811.0
Mirage2100%0.8016.0
Cache10%0.5511.0
Dust21100%1.0017.0

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.

15.4%Headshot accuracy
37.2%Accuracy (enemy spotted)
37.0%Spray accuracy
87.2%Counter-strafing
10.0°Preaim
681msReaction time
31.9%T opening success
28.5%CT opening success
0.30Enemies flashed / flash
2.7%Flash assists
9.38HE damage / grenade
4.01Flashes / 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. 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 0.3035 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 31.924% — 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.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–11-0.0217%13 Aug
ancient7–130.0118%13 Aug
ancient13–40.0418%12 Aug
dust23–13-0.0425%12 Aug
nuke13–80.0112%12 Aug
cache6–13-0.0621%12 Aug
mirage11–13-0.0221%12 Aug
ancient5–13-0.0715%29 Jul
inferno8–13-0.0820%29 Jul
anubis12–120.0412%28 Jul
anubis13–10-0.0315%27 Jul
mirage13–100.0212%26 Jul
nuke13–110.0112%26 Jul
cache13–90.0310%26 Jul
ancient3–13-0.0213%26 Jul
dust29–13-0.0218%26 Jul
inferno11–130.0218%26 Jul
cache2–13-0.1615%26 Jul
nuke16–14-0.0317%26 Jul
cache13–60.0018%25 Jul
ancient7–13-0.075%25 Jul
cache13–110.0213%25 Jul
mirage15–15-0.0811%25 Jul
mirage13–70.0216%22 Jul
dust21–13-0.0422%22 Jul
inferno8–13-0.017%22 Jul
cache13–9-0.0013%22 Jul
inferno8–13-0.0613%22 Jul
cache5–130.0225%15 Jul
cache3–13-0.0518%15 Jul
ancient13–30.0110%10 Jul
mirage15–15-0.0218%10 Jul
dust213–6-0.0514%9 Jul
cache13–11-0.0415%9 Jul
nuke10–13-0.0314%9 Jul
mirage19–160.0225%8 Jul
inferno5–13-0.1040%8 Jul
inferno10–130.027%8 Jul
nuke16–14-0.004%2 Jul
overpass13–10-0.029%2 Jul
inferno6–130.048%28 Jun
inferno13–9-0.0012%28 Jun
inferno11–13-0.0315%28 Jun
anubis8–13-0.0510%28 Jun
nuke13–50.0512%28 Jun
nuke6–13-0.0215%26 Jun
mirage13–10-0.0114%25 Jun
ancient3–130.0120%25 Jun
mirage6–13-0.0811%24 Jun
inferno10–130.0714%24 Jun
mirage13–100.0914%24 Jun
ancient5–13-0.0317%24 Jun
anubis6–13-0.058%24 Jun
ancient12–16-0.0212%24 Jun
ancient6–13-0.0610%23 Jun
nuke13–11-0.0415%23 Jun
anubis13–2-0.0114%23 Jun
inferno13–16-0.0114%23 Jun
anubis6–13-0.0512%22 Jun
mirage13–9-0.0913%20 Jun
anubis13–2-0.0027%20 Jun
ancient2–13-0.0816%20 Jun
dust213–110.0120%20 Jun
anubis9–130.0518%7 Jun
inferno13–90.0020%7 Jun
ancient13–100.013%6 Jun
ancient13–40.0410%5 Jun
overpass13–100.0012%5 Jun
inferno13–11-0.082%4 Jun
inferno17–19-0.017%4 Jun
cache9–13-0.0410%4 Jun
cache13–30.0620%29 Apr
cache13–40.0413%29 Apr
inferno11–13-0.059%25 Mar
inferno13–9-0.0013%14 Mar
ancient11–13-0.0512%14 Mar
anubis4–130.008%14 Mar
mirage8–13-0.0918%14 Mar
nuke7–13-0.0410%7 Mar
inferno13–110.0221%7 Mar
nuke13–10-0.0513%5 Mar
anubis7–13-0.017%5 Mar
nuke13–10-0.0513%4 Mar
overpass13–11-0.0110%4 Mar
mirage13–20.0221%4 Mar
inferno13–6-0.0112%4 Mar
ancient2–2-0.0113%4 Mar
anubis16–14-0.056%1 Mar
anubis13–50.0113%1 Mar
overpass14–16-0.0414%1 Mar
inferno13–70.1015%1 Mar
nuke13–1-0.145%1 Mar
overpass13–90.0016%1 Mar
nuke9–13-0.0313%28 Feb
dust213–5-0.0310%28 Feb
nuke8–13-0.0415%28 Feb
nuke9–130.029%28 Feb
inferno7–13-0.0321%28 Feb
ancient9–130.0110%28 Feb
ancient1–13-0.0318%28 Feb

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 →