P_nda

P_nda — CS2 Stats

US76561198205746176[U:1:245480448]Steam profile ↗

1,873Tracked matches63%Win rate2021Tracked since
CSDB Rating7.6 StrongAggressive Rifler
Premier CS Rating25,687Top 25% of 819 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#2097 of 18104 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGP_ndaPREMIER25,687 · Red bandcsdb.gg/stats

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Performance scores

Aim90
Positioning61
Utility57

0–100 skill scores via Leetify.

Recent form

HOT65323Last 10065%Win rateWLWWWWLWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim9.0
Aggression8.1
Utility5.7
Positioning6.1
Opening Duels3.0
Clutch2.6

Sharp aimer

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

b1t

Plays most like b1t 96% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.0
Positioning6.1
Utility5.7
Mechanics8.4
Opening Duels3.0
Win Impact9.4

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time544ms+9ms
first ⅓ avg 536ms → last ⅓ avg 544ms
Headshot accuracy21.0%−0.5%
first ⅓ avg 21.5% → last ⅓ avg 21.0%

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

0.28Best rating — train 13–6
131Biggest win — cache
8Longest win streak
87In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 90% over 10ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC1881044%0.03
dust2S1510567%0.00
anubisS1412286%0.03
cacheS1411379%0.03
ancientD113827%-0.02
infernoS109190%0.02
nukeS97278%0.03
train42250%0.10
office220100%0.05
vertigo110100%0.06
shelter1010%-0.02
overpass1010%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

122Matches
57%Win rate
1.31Avg K/D
90.7ADR
49%Headshot %

Clutches & streaks

33%1v1 clutch win
29%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2255%1.2818.1
Dust22040%1.2216.9
Inferno1867%1.4119.3
Anubis1573%1.4320.7
Ancient1443%1.5021.9
Nuke875%1.4219.9
Overpass475%1.2615.8
Cache3100%1.2213.0

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.

20.3%Headshot accuracy
40.8%Accuracy (enemy spotted)
42.1%Spray accuracy
87.7%Counter-strafing
9.3°Preaim
531msReaction time
37.1%T opening success
47.2%CT opening success
0.54Enemies flashed / flash
9.6%Flash assists
5.27HE damage / grenade
13.46Flashes / 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 37.1322% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–30.0214%21 Aug
ancient2–9-0.1011%21 Aug
anubis16–140.0618%20 Aug
cache13–80.0310%20 Aug
cache13–60.0025%19 Aug
mirage13–70.0732%17 Aug
cache11–13-0.0127%17 Aug
cache13–3-0.0013%17 Aug
anubis16–190.0116%17 Aug
mirage13–30.1023%16 Aug
train13–60.1022%16 Aug
mirage11–13-0.0619%14 Aug
dust210–130.0130%14 Aug
dust20–13-0.0537%14 Aug
ancient10–13-0.0311%14 Aug
mirage13–100.0316%13 Aug
train8–130.0522%13 Aug
dust213–7-0.0418%7 Aug
dust213–70.0321%7 Aug
anubis13–8-0.0219%7 Aug
ancient8–130.0215%7 Aug
anubis13–100.0718%6 Aug
nuke16–12-0.0118%6 Aug
ancient13–100.0028%6 Aug
anubis13–30.0317%1 Aug
inferno13–9-0.0429%1 Aug
ancient6–13-0.0331%1 Aug
inferno16–130.0224%1 Aug
dust213–7-0.0118%1 Aug
mirage5–130.0310%1 Aug
cache13–30.0043%30 Jul
ancient9–13-0.0322%30 Jul
nuke13–10-0.0117%29 Jul
vertigo13–50.0632%29 Jul
anubis13–11-0.0710%27 Jul
inferno13–80.0422%26 Jul
anubis7–00.1429%26 Jul
nuke13–10-0.0021%25 Jul
anubis13–80.0821%22 Jul
anubis13–60.0629%22 Jul
mirage10–130.0725%20 Jul
nuke15–15-0.0313%19 Jul
anubis2–13-0.0510%19 Jul
shelter11–13-0.0217%19 Jul
cache11–130.0318%19 Jul
ancient13–9-0.0512%19 Jul
ancient9–130.0427%19 Jul
inferno13–70.059%17 Jul
dust213–80.0224%17 Jul
mirage13–70.0220%15 Jul
inferno13–80.0112%15 Jul
cache13–90.0120%15 Jul
ancient9–13-0.0429%15 Jul
dust213–110.0725%14 Jul
dust214–16-0.0216%14 Jul
anubis13–60.0129%14 Jul
cache16–130.0817%14 Jul
cache13–10.1221%10 Jul
cache13–90.0526%10 Jul
mirage7–130.0817%10 Jul
ancient2–13-0.0319%10 Jul
office13–90.0619%9 Jul
office13–80.0422%9 Jul
inferno13–5-0.0337%5 Jul
mirage14–16-0.0714%5 Jul
cache13–90.0537%27 Jun
ancient13–110.0113%27 Jun
dust27–13-0.0136%27 Jun
mirage11–13-0.0213%27 Jun
nuke13–9-0.0318%26 Jun
dust210–13-0.0221%26 Jun
nuke15–15-0.0218%26 Jun
dust213–110.0516%26 Jun
anubis13–50.0814%26 Jun
cache7–10.0140%26 Jun
mirage7–130.0436%25 Jun
mirage9–13-0.0114%25 Jun
dust213–10-0.0220%21 Jun
inferno13–30.0713%21 Jun
nuke13–110.1124%21 Jun
nuke13–100.0722%21 Jun
dust213–11-0.0410%21 Jun
cache6–130.0124%21 Jun
overpass8–13-0.0214%21 Jun
inferno13–90.1121%21 Jun
mirage13–40.1019%21 Jun
anubis13–1-0.0131%21 Jun
mirage8–13-0.0416%21 Jun
nuke13–20.2230%20 Jun
dust213–40.0515%19 Jun
inferno6–13-0.0330%19 Jun
mirage13–100.1023%19 Jun
dust213–40.0310%19 Jun
cache13–110.0636%17 Jun
inferno13–90.0517%17 Jun
anubis13–40.0315%17 Jun
train13–60.2813%17 Jun
train5–13-0.0421%17 Jun
mirage13–40.0338%17 Jun
mirage12–120.0421%14 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →