PanDa_Mon1uM

PanDa_Mon1uM — CS2 Stats

76561198071992173[U:1:111726445]Steam profile ↗✓ No bans

1,802Tracked matches56%Win rate2020Tracked since
CSDB Rating5.9 SolidSupport
Premier CS Rating20,276Pink band · top ~8.2% of ranked players (population est.)
CSDB Leaderboard#8901 of 21585 tracked
FaceitLevel 5 · 1,130 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGPanDa_Mon1uMFACEITLevel 5 · 1,130 ELOSTANDINGTop 67.6% of rankedPREMIER20,276 · Pink bandcsdb.gg/stats

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Performance scores

Aim61
Positioning53
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY42508Last 10042%Win rateLWLWWTWWWL

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim6.1
Aggression4.3
Utility7.1
Positioning5.3
Opening Duels0.5
Clutch8.0

Reliable in 1v1s

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 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. 607ms 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

Aim6.1
Positioning5.3
Utility7.1
Mechanics7.3
Opening Duels0.7
Win Impact6.9

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time624ms−4ms
first ⅓ avg 628ms → last ⅓ avg 624ms
Headshot accuracy14.4%+1.1%
first ⅓ avg 13.3% → last ⅓ avg 14.4%

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

0.06Best rating — inferno 7–13
130Biggest win — nuke
3Longest win streak
512In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 62% over 13dust2Weakest map · 38% over 34
MapGradePlayedRecordWin rateAvg rating
dust2C34132138%-0.02
mirageC29111838%-0.03
infernoA138562%0.00
cacheC125742%-0.02
nukeC104640%-0.04
anubis110100%0.02
vertigo1010%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 34). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

390Matches
51%Win rate
0.86Avg K/D
57.6ADR
40%Headshot %

Clutches & streaks

60%1v1 clutch win
33%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke20%0.649.5
Inferno20%0.486.5
Dust2250%1.0013.5
Overpass250%1.1612.5
Mirage1100%1.177.0

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.

15.1%Headshot accuracy
33.1%Accuracy (enemy spotted)
34.6%Spray accuracy
82.8%Counter-strafing
10.1°Preaim
607msReaction time
28.2%T opening success
35.4%CT opening success
0.69Enemies flashed / flash
7.5%Flash assists
15.61HE damage / grenade
15.48Flashes / 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 28.1679% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.0415%27 Aug
mirage13–3-0.056%27 Aug
dust28–13-0.0625%27 Aug
dust213–8-0.0321%26 Aug
cache4–00.000%26 Aug
mirage15–15-0.0518%26 Aug
dust213–11-0.0713%25 Aug
mirage13–60.0214%25 Aug
dust213–60.013%25 Aug
dust211–13-0.0518%25 Aug
cache13–110.0410%22 Aug
nuke4–13-0.095%22 Aug
anubis13–80.0223%22 Aug
dust213–80.0319%22 Aug
dust213–10-0.0510%21 Aug
mirage11–130.0110%21 Aug
cache12–12-0.0119%20 Aug
nuke11–13-0.0311%20 Aug
dust214–16-0.0529%20 Aug
dust215–15-0.049%4 Aug
mirage13–80.0212%4 Aug
mirage9–13-0.0811%4 Aug
inferno14–16-0.0616%31 Jul
dust213–8-0.0412%31 Jul
mirage13–100.0312%31 Jul
mirage7–13-0.0019%29 Jul
dust29–13-0.0714%27 Jul
mirage13–7-0.0027%27 Jul
mirage4–13-0.1116%26 Jul
inferno13–70.0015%26 Jul
mirage13–8-0.009%26 Jul
nuke13–10-0.0120%25 Jul
cache2–13-0.1014%25 Jul
mirage14–16-0.0212%25 Jul
dust29–13-0.0416%22 Jul
inferno13–50.0111%22 Jul
mirage13–70.0615%22 Jul
dust213–5-0.040%21 Jul
cache8–13-0.0910%21 Jul
dust213–10-0.0218%21 Jul
cache2–13-0.0317%14 Jul
dust28–13-0.069%14 Jul
mirage16–13-0.0018%13 Jul
dust213–9-0.0030%13 Jul
mirage8–13-0.0310%11 Jul
dust213–50.0511%11 Jul
cache13–70.0220%9 Jul
mirage13–11-0.0418%9 Jul
dust29–130.0116%9 Jul
nuke2–13-0.0815%9 Jul
cache13–11-0.057%1 Jul
dust25–13-0.0311%30 Jun
dust211–130.0015%28 Jun
inferno7–130.0619%28 Jun
mirage3–13-0.0314%28 Jun
vertigo0–3-0.070%28 Jun
nuke13–10-0.025%26 Jun
dust214–16-0.0312%26 Jun
mirage5–13-0.049%26 Jun
mirage10–13-0.049%23 Jun
inferno13–90.0417%23 Jun
dust211–130.0124%20 Jun
nuke3–13-0.073%20 Jun
dust211–13-0.0521%20 Jun
mirage8–13-0.0619%20 Jun
inferno8–00.0244%20 Jun
nuke7–130.009%19 Jun
inferno13–70.039%19 Jun
inferno13–100.0018%19 Jun
dust26–13-0.0613%18 Jun
dust213–60.0520%15 Jun
nuke13–0-0.0118%15 Jun
mirage11–13-0.0417%15 Jun
inferno13–16-0.054%14 Jun
cache9–13-0.067%14 Jun
inferno13–80.0115%13 Jun
mirage16–12-0.0413%13 Jun
mirage9–13-0.0313%13 Jun
inferno5–13-0.0115%12 Jun
dust27–13-0.0118%12 Jun
nuke13–11-0.0214%12 Jun
dust29–130.0013%12 Jun
mirage12–12-0.0017%10 Jun
dust21–13-0.059%9 Jun
cache12–12-0.0012%8 Jun
mirage6–13-0.0615%8 Jun
dust213–10-0.0123%6 Jun
cache8–13-0.036%6 Jun
inferno13–60.0024%5 Jun
inferno12–120.015%4 Jun
dust25–13-0.0016%4 Jun
cache13–80.0411%3 Jun
dust212–120.0216%3 Jun
dust213–3-0.013%1 Jun
mirage13–6-0.066%30 May
mirage7–130.0121%30 May
mirage11–13-0.0610%30 May
dust29–13-0.0613%29 May
mirage10–13-0.0517%29 May
dust212–120.0112%25 May

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 →