schizophrenic69 — CS2 Stats

76561198237690536[U:1:277424808]✓ No bans

380Tracked matches45%Win rate2022Tracked since
CSDB Rating4.8 DevelopingHybrid Rifler
WingmanSupreme Master First Class
Ladder ranks via Leetify

Performance scores

Aim64
Positioning41
Utility37

0–100 skill scores via Leetify.

Recent form

COLD45523Last 10045%Win rateLWTWLLLWLL

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression5.3
Utility3.7
Positioning4.1
Opening Duels1.2

Limited utility dependence

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 82% playstyle similarity

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

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. 631ms 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

Aim6.4
Positioning4.1
Utility3.7
Mechanics6.8
Opening Duels1.2
Win Impact3.3

Composite 4.8/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time645ms−3ms
first ⅓ avg 648ms → last ⅓ avg 645ms
Headshot accuracy21.7%+2.9%
first ⅓ avg 18.8% → last ⅓ avg 21.7%

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

0.18Best rating — train 13–2
130Biggest win — train
4Longest win streak
56In matches decided by ≤2 rounds
12Overtime games

Map breakdown

trainBest map · 75% over 8anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
overpassC2071335%-0.00
ancientB1991047%0.00
nukeA1610663%-0.00
mirageD113827%-0.01
trainS86275%0.05
infernoC73443%-0.02
anubisD61517%-0.03
vertigoD62433%0.01
dust2A53260%-0.01
jura21150%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis 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.

22.0%Headshot accuracy
31.7%Accuracy (enemy spotted)
35.8%Spray accuracy
80.5%Counter-strafing
10.4°Preaim
631msReaction time
30.1%T opening success
39.3%CT opening success
0.52Enemies flashed / flash
3.6%Flash assists
7.62HE damage / grenade
3.73Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.735 — below the 4 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 30.1391% — below the 40% mark we flag

Spend your practice time on Anubis

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0844%16 Feb
nuke11–2-0.0530%14 Feb
overpass15–15-0.0521%13 Feb
ancient13–5-0.0316%6 Feb
nuke6–13-0.0117%1 Feb
nuke4–13-0.137%31 Jan
anubis13–16-0.0426%30 Jan
mirage16–140.0123%24 Jan
vertigo10–130.0450%25 Dec
vertigo5–13-0.0118%23 Dec
vertigo13–60.0421%21 Dec
anubis8–13-0.0615%14 Dec
anubis6–13-0.079%14 Dec
train13–0-0.0033%11 Nov
train13–9-0.0217%11 Nov
train16–140.0817%11 Nov
inferno6–13-0.0217%31 Oct
mirage7–13-0.1027%30 Oct
overpass11–13-0.0731%30 Oct
ancient13–100.0221%26 Oct
vertigo10–13-0.0618%22 Oct
vertigo13–40.0634%22 Oct
anubis13–80.0416%19 Oct
mirage7–130.0119%18 Oct
ancient10–13-0.0315%18 Oct
overpass4–130.0225%16 Oct
ancient11–13-0.0127%15 Oct
nuke13–80.0723%13 Oct
dust213–70.087%12 Oct
mirage13–11-0.0024%11 Oct
overpass15–15-0.0511%3 Oct
anubis7–13-0.0423%1 Oct
nuke13–20.0618%27 Sept
ancient13–90.0016%27 Sept
overpass9–13-0.0121%27 Sept
overpass13–50.0319%27 Sept
mirage6–13-0.0613%22 Sept
ancient7–13-0.0013%19 Sept
overpass13–10-0.0320%19 Sept
mirage2–20.0322%19 Sept
dust216–13-0.0221%18 Sept
train13–20.0830%17 Sept
overpass13–16-0.0315%17 Sept
ancient13–100.0517%17 Sept
dust213–70.0316%17 Sept
inferno13–4-0.0112%16 Sept
train13–20.1810%14 Sept
train10–130.0719%14 Sept
nuke13–100.0730%8 Sept
dust210–13-0.0219%5 Sept
ancient8–130.0220%5 Sept
ancient4–13-0.0224%4 Sept
mirage5–12-0.0523%4 Sept
nuke13–90.0113%3 Sept
nuke8–13-0.0213%3 Sept
ancient16–13-0.0519%30 Aug
overpass13–60.0211%30 Aug
overpass8–13-0.0229%30 Aug
nuke16–12-0.0015%28 Aug
anubis8–13-0.0212%24 Aug
ancient8–13-0.044%18 Aug
overpass6–130.0015%18 Aug
train15–150.0218%17 Aug
overpass10–13-0.0129%14 Aug
ancient13–30.0814%12 Aug
inferno13–50.0321%12 Aug
ancient10–13-0.037%8 Aug
train13–10-0.0421%8 Aug
nuke13–10.0819%8 Aug
overpass13–1-0.0533%8 Aug
inferno8–13-0.0525%8 Aug
nuke8–130.0011%8 Aug
nuke7–13-0.0616%6 Aug
inferno9–13-0.0214%6 Aug
inferno16–140.0216%3 Aug
ancient13–30.139%3 Aug
vertigo11–13-0.037%3 Aug
nuke13–70.0119%3 Aug
overpass13–90.0413%3 Aug
mirage11–130.0316%2 Aug
overpass13–110.0714%2 Aug
mirage9–13-0.0432%2 Aug
ancient13–7-0.0423%2 Aug
overpass13–60.1315%2 Aug
nuke13–7-0.0117%2 Aug
nuke13–10-0.0113%2 Aug
overpass10–13-0.0513%2 Aug
ancient11–130.0515%2 Aug
inferno9–13-0.0727%1 Aug
ancient3–13-0.0522%1 Aug
overpass3–130.0217%1 Aug
jura13–10-0.0025%30 Jul
jura3–130.0032%30 Jul
ancient13–100.0116%27 Jul
overpass12–160.0126%27 Jul
mirage13–80.0217%27 Jul
overpass5–13-0.0622%27 Jul
ancient5–130.0122%26 Jul
dust25–13-0.1015%25 Jul
mirage8–130.0518%25 Jul

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 →