Wemo — CS2 Stats

76561198088970922[U:1:128705194]✓ No bans

189Tracked matches48%Win rate2020Tracked since
CSDB Rating3.9 Learning
Ladder ranks via Leetify

Performance scores

Aim33
Positioning48
Utility37

0–100 skill scores via Leetify.

Recent form

COLD45487Last 10045%Win rateLWWLLLLLWL

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

Player DNA

Aim3.3
Aggression4.6
Utility3.7
Positioning4.8
Opening Duels0.9

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 74% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 665ms 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

Aim3.3
Positioning4.8
Utility3.7
Mechanics5.7
Opening Duels1.4
Win Impact4.4

Composite 3.9/10 (Learning), 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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time672ms−12ms
first ⅓ avg 684ms → last ⅓ avg 672ms
Headshot accuracy15.2%+3.3%
first ⅓ avg 12.0% → last ⅓ avg 15.2%

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

0.11Best rating — ancient 13–2
132Biggest win — ancient
4Longest win streak
55In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 60% over 5nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB23121152%-0.01
infernoC2081240%-0.03
dust2C1971237%-0.02
ancientB137654%-0.03
nukeD93633%0.01
overpassA53260%0.00
anubis41325%-0.01
train42250%0.00
vertigo21150%0.03
cache110100%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

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
28.3%Accuracy (enemy spotted)
30.3%Spray accuracy
75.5%Counter-strafing
12.1°Preaim
665msReaction time
40.9%T opening success
25.9%CT opening success
0.50Enemies flashed / flash
8.1%Flash assists
9.66HE damage / grenade
10.33Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0588° — above the 12° mark we flag

    Aim Training
  2. 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 0.4951 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Nuke

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 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–13-0.119%29 Aug
anubis16–140.0013%27 Aug
inferno13–70.0236%24 Aug
inferno14–16-0.0216%6 Aug
mirage7–13-0.0610%30 Jul
inferno0–6-0.110%21 Jun
mirage2–13-0.078%11 May
ancient10–13-0.066%11 May
cache13–11-0.0219%30 Apr
anubis10–13-0.0115%18 Mar
inferno0–9-0.2213%13 Feb
dust213–90.0629%5 Feb
inferno13–3-0.0110%14 Jan
mirage11–13-0.0111%6 Dec
mirage8–13-0.0210%13 Nov
inferno1–13-0.0518%10 Nov
inferno13–9-0.0213%9 Nov
mirage15–15-0.0417%9 Nov
dust24–13-0.059%23 Oct
overpass13–10-0.0314%22 Oct
nuke4–13-0.0121%16 Oct
ancient13–11-0.0532%3 Oct
overpass5–13-0.0311%28 Sept
ancient7–13-0.0521%24 Sept
mirage13–10-0.0514%11 Sept
dust215–15-0.0310%10 Sept
mirage13–8-0.0119%6 Sept
ancient13–8-0.0310%6 Sept
inferno5–130.0419%1 Sept
inferno15–15-0.0212%31 Aug
train13–100.0115%30 Aug
mirage16–140.0310%29 Aug
overpass7–30.0233%26 Aug
dust213–6-0.0112%24 Aug
inferno9–13-0.048%21 Aug
ancient13–20.1114%11 Aug
dust210–13-0.0420%9 Aug
nuke7–13-0.0712%5 Aug
mirage13–8-0.0014%3 Aug
nuke11–13-0.0010%31 Jul
overpass13–20.0914%30 Jul
mirage4–13-0.066%4 Jun
nuke13–40.0120%3 Jun
inferno13–6-0.0011%29 May
ancient8–00.035%29 May
mirage13–10-0.0210%22 May
dust25–13-0.0910%6 May
inferno14–16-0.0414%30 Apr
nuke15–150.0814%23 Apr
ancient16–13-0.028%15 Apr
mirage8–13-0.0111%12 Apr
dust213–7-0.0115%27 Mar
mirage13–9-0.022%25 Mar
nuke8–30.0312%25 Mar
anubis9–130.019%21 Mar
nuke7–13-0.0414%21 Mar
dust213–50.0219%21 Mar
mirage13–110.0221%21 Mar
dust215–15-0.0214%21 Mar
mirage8–13-0.0113%15 Mar
train15–150.0010%18 Feb
mirage9–13-0.089%11 Feb
inferno5–13-0.1112%10 Feb
train10–13-0.088%9 Feb
mirage13–70.0911%8 Feb
inferno15–150.017%7 Feb
nuke13–20.1013%7 Feb
ancient13–60.0513%1 Feb
train13–60.097%30 Jan
dust210–13-0.028%29 Jan
vertigo4–13-0.0316%27 Jan
nuke8–13-0.0215%25 Jan
dust213–50.077%24 Jan
inferno1–13-0.0315%22 Jan
ancient1–13-0.0923%22 Jan
dust213–60.0411%21 Jan
inferno13–80.0517%17 Jan
dust26–13-0.0913%13 Jan
dust28–13-0.0727%24 Dec
mirage13–2-0.0113%17 Dec
dust213–50.018%13 Dec
inferno13–9-0.048%10 Dec
dust26–130.0214%21 Nov
dust26–130.0118%17 Nov
dust28–13-0.046%14 Nov
ancient13–16-0.029%11 Nov
inferno13–100.0214%26 Oct
vertigo13–80.1020%20 Oct
ancient1–13-0.078%22 Sept
mirage4–13-0.0224%4 Jun
mirage13–70.0610%17 May
anubis9–13-0.043%12 May
inferno5–13-0.0611%10 May
mirage3–13-0.0315%8 May
mirage13–6-0.024%7 May
overpass11–13-0.054%25 Apr
ancient13–10-0.0115%23 Apr
ancient8–13-0.130%18 Apr
mirage13–100.0114%6 Mar
inferno13–30.059%14 Feb

Match data via Leetify.

Milestones

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