Pokedu — CS2 Stats

76561198090208232[U:1:129942504]

407Tracked matches53%Win rate2020Tracked since
460Hours in CS1Hrs last 2 wks
CSDB Rating5.0 Developing
Ladder ranks via Leetify

Performance scores

Aim52
Positioning48
Utility24

0–100 skill scores via Leetify.

Recent form

HOT50437Last 10050%Win rateWWLWLLWWWW

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

Player DNA

Aim5.2
Aggression6.1
Utility2.4
Positioning4.8
Opening Duels2.1

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

Twistzz

Plays most like Twistzz 79% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 663ms 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

Aim5.2
Positioning4.8
Utility2.4
Mechanics8.5
Opening Duels2.1
Win Impact6.1

Composite 5.0/10 (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-0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time680ms+23ms
first ⅓ avg 657ms → last ⅓ avg 680ms
Headshot accuracy16.4%−1.8%
first ⅓ avg 18.1% → last ⅓ avg 16.4%

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

0.26Best rating — inferno 9–3
130Biggest win — inferno
5Longest win streak
W2Current streak
116In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 64% over 11ancientWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
infernoC1881044%0.03
trainB158753%0.00
ancientC146843%-0.01
nukeB137654%0.02
mirageA117464%0.01
dust2B105550%0.01
anubisA53260%0.02
cache42250%-0.05
overpass43175%-0.03
agency2020%0.02
grail21150%0.08
vertigo1010%-0.04
palais1010%-0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,425Lifetime kills
1.13K/D · Top 50% of tracked players
1,229Matches
38.9%Match win rate
44.7%Headshot %
11.7%Shot accuracy
1,727MVPs
295Hours (in match)
450Bombs planted
267Bombs defused

Most-used weapons

Lifetime map wins

1,175dust2
873inferno
704nuke
530vertigo
300train
100lake
61office
60safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.3%Headshot accuracy
30.1%Accuracy (enemy spotted)
29.8%Spray accuracy
88.2%Counter-strafing
10.8°Preaim
663msReaction time
31.1%T opening success
46.0%CT opening success
0.40Enemies flashed / flash
6.0%Flash assists
6.69HE damage / grenade
3.71Flashes / 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 0.4013 — 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 31.0663% — 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.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–100.0214%20 Aug
cache13–8-0.0414%18 May
cache11–13-0.0324%16 May
inferno13–00.0619%15 May
mirage11–13-0.0430%1 May
cache3–13-0.0613%1 May
cache13–5-0.0711%1 May
inferno13–90.0415%18 Mar
ancient13–110.0114%18 Mar
ancient13–100.0424%15 Nov
overpass13–80.0224%17 Sept
overpass14–160.0123%4 Aug
train0–13-0.0621%4 Aug
train13–5-0.0113%25 Jul
mirage13–9-0.0412%21 Jul
ancient7–13-0.0311%21 Jul
dust216–130.0318%20 Jul
ancient4–13-0.0710%20 Jul
train13–70.0412%19 Jul
overpass2–0-0.130%19 Jul
nuke12–160.0222%19 Jul
train2–13-0.0327%15 Jul
inferno4–13-0.0826%15 Jul
train13–90.0411%2 Jul
nuke13–70.1010%2 Jul
mirage4–130.0513%1 Jul
vertigo7–13-0.0418%1 Jul
nuke5–13-0.0029%1 Jul
anubis11–130.0615%1 Jul
nuke13–110.019%25 Jun
nuke11–13-0.0315%24 Jun
mirage13–100.0314%24 Jun
inferno13–6-0.049%24 Jun
anubis13–80.038%20 Jun
train13–7-0.0022%19 Jun
dust28–130.0124%19 Jun
ancient13–90.0313%18 Jun
inferno12–12-0.0323%18 Jun
inferno12–120.0710%17 Jun
mirage5–13-0.0320%11 Jun
nuke12–12-0.0111%11 Jun
train13–10-0.0414%10 Jun
ancient6–13-0.065%10 Jun
nuke4–13-0.012%9 Jun
mirage13–80.0215%9 Jun
anubis3–13-0.0614%8 Jun
inferno13–11-0.0012%8 Jun
agency7–130.0513%7 Jun
train2–13-0.0716%7 Jun
mirage13–90.0012%5 Jun
anubis13–100.0418%5 Jun
nuke13–8-0.0214%30 May
ancient13–100.059%30 May
inferno12–120.0211%29 May
ancient6–130.0620%28 May
train10–13-0.0114%27 May
nuke13–100.1119%27 May
inferno7–130.0022%27 May
dust213–160.0515%27 May
inferno6–130.0414%26 May
agency12–12-0.0112%26 May
grail5–130.157%26 May
train13–80.0325%23 May
mirage3–13-0.0221%16 May
ancient13–11-0.0121%16 May
inferno13–80.0122%16 May
ancient13–6-0.0130%14 May
mirage13–60.1124%13 May
ancient10–130.0516%12 May
inferno13–11-0.0228%12 May
grail13–60.0119%9 May
inferno7–13-0.0223%6 May
anubis13–90.0223%5 May
ancient11–13-0.0222%5 May
ancient7–13-0.0811%5 May
dust24–30.020%3 Apr
inferno2–9-0.0315%3 Apr
nuke8–13-0.0610%3 Apr
nuke13–11-0.0110%2 Apr
dust212–12-0.0329%18 Feb
inferno9–30.2617%18 Feb
dust213–60.0638%17 Feb
dust22–13-0.0419%17 Feb
ancient0–8-0.160%17 Feb
train10–13-0.0322%17 Feb
mirage13–40.0318%17 Feb
inferno9–10.188%17 Feb
dust213–110.0121%26 Jan
overpass13–11-0.0011%26 Jan
inferno2–130.0024%2 Jan
mirage13–110.0313%27 Dec
dust29–130.0325%10 Dec
nuke13–50.0911%26 Nov
train10–130.0123%26 Nov
train7–00.1833%23 Nov
palais5–9-0.1113%23 Nov
train13–60.0120%14 Nov
train12–120.0113%14 Nov
dust213–8-0.0418%23 Oct
inferno12–160.0619%21 Oct

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →