ShadowWizardMonkeyGang — CS2 Stats

76561199012571939[U:1:1052306211]✓ No bans

488Tracked matches52%Win rate2023Tracked since
CSDB Rating4.4 Developing
Ladder ranks via Leetify

Performance scores

Aim41
Positioning34
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY40528Last 10040%Win rateLWLLWLLTWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

Aim4.1
Aggression1.4
Utility5.7
Positioning3.4
Opening Duels0.0

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 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 44% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 661ms 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

Aim4.1
Positioning3.4
Utility5.7
Mechanics6.2
Opening Duels1.8
Win Impact5.6

Composite 4.4/10 (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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time657ms−30ms
first ⅓ avg 687ms → last ⅓ avg 657ms
Headshot accuracy11.8%+1.0%
first ⅓ avg 10.8% → last ⅓ avg 11.8%

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

0.15Best rating — nuke 8–13
131Biggest win — nuke
4Longest win streak
76In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 60% over 5vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheD2481633%-0.02
nukeB147750%-0.01
mirageA116555%-0.02
trainC104640%-0.02
overpassD92722%-0.03
infernoA74357%-0.01
anubisD62433%-0.02
vertigoD51420%-0.02
dust2C52340%-0.03
ancientA53260%-0.02
office21150%0.02
grail2020%-0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo 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.

11.9%Headshot accuracy
34.8%Accuracy (enemy spotted)
32.1%Spray accuracy
77.7%Counter-strafing
12.6°Preaim
661msReaction time
15.2%T opening success
44.1%CT opening success
0.52Enemies flashed / flash
8.4%Flash assists
10.25HE damage / grenade
13.18Flashes / 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 12.584° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.8891% — below the 15% mark we flag

    Aim Training
Spend your practice time on Vertigo

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
cache4–130.0318%29 Aug
cache8–3-0.056%17 Aug
train1–13-0.0519%17 Aug
nuke4–13-0.0615%15 Aug
train13–6-0.059%15 Aug
cache6–13-0.098%30 Jul
vertigo10–130.0423%30 Jul
vertigo12–120.0615%29 Jul
train13–10-0.0110%26 Jul
nuke13–9-0.069%26 Jul
cache12–12-0.0513%25 Jul
vertigo13–11-0.040%24 Jul
train12–12-0.0219%24 Jul
dust210–130.0232%23 Jul
anubis3–13-0.038%23 Jul
anubis9–13-0.0217%23 Jul
nuke13–10.042%20 Jul
cache13–3-0.028%20 Jul
nuke2–130.0115%18 Jul
nuke13–70.0310%16 Jul
cache3–13-0.0911%16 Jul
cache8–13-0.0510%15 Jul
nuke9–10.0613%15 Jul
cache13–110.0212%12 Jul
office13–40.0910%11 Jul
ancient13–50.042%9 Jul
office9–13-0.057%9 Jul
cache13–30.084%5 Jul
cache13–70.054%5 Jul
cache3–13-0.0421%5 Jul
mirage13–80.0113%28 Jun
ancient8–13-0.0719%27 Jun
nuke8–13-0.067%27 Jun
train13–6-0.039%23 Jun
train4–13-0.090%18 Jun
train12–12-0.092%17 Jun
cache13–90.016%14 Jun
mirage9–13-0.140%13 Jun
nuke13–11-0.0413%12 Jun
nuke10–13-0.0421%11 Jun
vertigo6–13-0.1010%5 Jun
vertigo5–13-0.0310%5 Jun
mirage13–6-0.0015%31 May
anubis9–13-0.080%30 May
mirage14–16-0.054%27 May
cache10–130.005%27 May
overpass10–13-0.0412%26 May
cache13–8-0.038%26 May
cache11–13-0.017%25 May
cache8–130.016%25 May
nuke13–4-0.093%22 May
mirage13–40.0213%20 May
inferno15–15-0.054%17 May
mirage4–13-0.0711%17 May
dust213–2-0.008%16 May
cache13–40.0511%16 May
nuke13–50.0413%11 May
nuke8–130.1515%7 May
cache12–12-0.0414%7 May
cache11–130.0211%6 May
mirage4–13-0.0611%6 May
cache5–130.0312%6 May
cache7–130.0012%3 May
cache2–4-0.120%3 May
cache6–13-0.0618%3 May
cache4–13-0.0617%3 May
anubis15–15-0.067%26 Apr
mirage13–9-0.036%26 Apr
overpass10–13-0.0513%15 Mar
inferno13–10-0.039%10 Nov
dust27–13-0.067%10 Nov
inferno13–8-0.0122%10 Nov
inferno13–110.007%9 Nov
overpass9–13-0.0114%9 Nov
mirage6–130.007%8 Nov
ancient13–2-0.023%8 Nov
dust213–11-0.0413%8 Nov
nuke5–13-0.080%3 Nov
inferno11–13-0.033%3 Nov
overpass13–110.049%24 Oct
mirage13–90.0111%14 Oct
mirage13–40.064%5 Oct
overpass8–13-0.0311%4 Oct
overpass3–13-0.088%30 Sept
train4–130.1218%30 Sept
overpass12–12-0.0212%30 Sept
overpass7–13-0.0317%23 Sept
train13–20.0319%10 Sept
train5–13-0.0225%10 Sept
ancient14–16-0.055%9 Sept
dust25–13-0.0511%2 Sept
grail7–13-0.046%2 Sept
inferno13–50.119%28 Aug
grail9–13-0.0127%28 Aug
anubis13–6-0.0210%24 Aug
anubis10–10.0914%24 Aug
nuke6–13-0.0117%19 Aug
inferno3–13-0.0611%19 Aug
overpass13–6-0.070%12 Aug
ancient16–140.008%12 Aug

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 →