hazy — CS2 Stats

76561198178983289[U:1:218717561]

3,321Tracked matches57%Win rate2020Tracked since
CSDB Rating7.6 StrongAggressive Rifler
Premier CS Rating25,531Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#3326 of 31450 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGhazyFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER25,531 · Red bandcsdb.gg/stats

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Performance scores

Aim89
Positioning68
Utility63

0–100 skill scores via Leetify.

Recent form

HOT54424Last 10054%Win rateLWWWLWWWWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.9
Aggression8.9
Utility6.3
Positioning6.8
Opening Duels3.5
Clutch7.0

Sharp aimerReliable 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

jL

Plays most like jL 97% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Reaction time. 556ms 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

Aim8.9
Positioning6.8
Utility6.3
Mechanics8.2
Opening Duels3.5
Win Impact7.2

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time553ms−47ms
first ⅓ avg 599ms → last ⅓ avg 553ms
Headshot accuracy23.7%+1.7%
first ⅓ avg 22.0% → last ⅓ avg 23.7%

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

0.15Best rating — cache 13–4
132Biggest win — mirage
5Longest win streak
77In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 75% over 12infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageA2314961%0.02
dust2A1810856%0.00
infernoC145936%0.03
cacheS129375%0.05
ancientA127558%0.02
nukeC104640%-0.02
anubisS75271%0.03
train2020%0.07
office1010%0.05
vertigo1010%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

477Matches
54%Win rate
1.09Avg K/D
91.2ADR
38%Headshot %

Clutches & streaks

55%1v1 clutch win
26%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust21573%1.2618.5
Mirage1164%1.5319.4
Ancient633%0.9517.7
Nuke560%1.1519.2
Cache450%0.9517.8
Anubis3100%1.4418.7
Overpass250%1.6016.5
Inferno250%1.0816.5

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.

23.6%Headshot accuracy
35.6%Accuracy (enemy spotted)
37.2%Spray accuracy
86.9%Counter-strafing
7.0°Preaim
556msReaction time
38.6%T opening success
49.2%CT opening success
0.67Enemies flashed / flash
4.8%Flash assists
9.98HE damage / grenade
9.31Flashes / 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 38.6198% — below the 40% mark we flag

Spend your practice time on Inferno

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
office8–130.0511%29 Aug
dust213–70.0425%29 Aug
mirage13–90.0119%29 Aug
dust213–30.0425%29 Aug
mirage9–130.0025%29 Aug
mirage13–40.0625%28 Aug
cache13–40.1519%28 Aug
mirage13–11-0.0118%28 Aug
nuke13–50.0053%27 Aug
mirage10–13-0.0811%27 Aug
cache13–110.0727%27 Aug
cache3–13-0.0525%27 Aug
cache13–100.1023%27 Aug
ancient13–11-0.0817%22 Aug
nuke14–160.0327%22 Aug
inferno7–130.027%22 Aug
mirage13–30.1019%22 Aug
mirage8–13-0.0125%22 Aug
nuke2–13-0.0547%21 Aug
dust23–13-0.0846%21 Aug
dust29–130.1024%21 Aug
mirage13–60.0322%21 Aug
nuke13–6-0.0016%21 Aug
ancient13–70.0831%21 Aug
mirage7–130.0526%21 Aug
inferno9–13-0.0013%21 Aug
ancient13–80.0521%21 Aug
anubis16–140.0321%21 Aug
mirage13–80.0729%21 Aug
cache10–130.0527%21 Aug
mirage13–90.0418%21 Aug
inferno15–150.1424%21 Aug
mirage11–13-0.0214%21 Aug
ancient14–160.0220%21 Aug
mirage10–13-0.0516%16 Aug
anubis14–16-0.0217%16 Aug
dust26–30.0317%16 Aug
train10–130.1022%16 Aug
mirage13–40.0618%16 Aug
inferno13–70.0028%16 Aug
cache13–100.0518%16 Aug
inferno13–30.1523%16 Aug
nuke11–13-0.0838%15 Aug
anubis13–90.0319%15 Aug
mirage13–20.0626%15 Aug
dust213–70.0019%15 Aug
mirage7–00.088%15 Aug
mirage13–90.0422%15 Aug
ancient7–130.0217%15 Aug
dust213–100.0516%15 Aug
ancient10–13-0.0119%14 Aug
inferno8–130.0818%14 Aug
anubis10–13-0.0221%14 Aug
dust210–13-0.0712%14 Aug
ancient13–80.0530%14 Aug
ancient5–13-0.0413%14 Aug
inferno13–60.0315%13 Aug
train12–120.0416%13 Aug
dust21–120.0023%12 Aug
dust27–13-0.0623%9 Aug
inferno4–13-0.0616%9 Aug
nuke4–13-0.0219%9 Aug
ancient13–110.0818%9 Aug
mirage13–80.0025%9 Aug
anubis13–110.0326%9 Aug
ancient13–110.0024%7 Aug
inferno13–50.1114%7 Aug
dust211–13-0.0721%7 Aug
nuke6–13-0.0720%6 Aug
inferno12–16-0.0518%6 Aug
dust213–7-0.0230%6 Aug
mirage13–70.1317%6 Aug
inferno13–9-0.0120%6 Aug
mirage13–100.0122%1 Aug
cache13–90.0229%1 Aug
dust29–130.0730%1 Aug
dust217–190.0822%31 Jul
nuke6–130.0217%31 Jul
anubis13–90.1022%31 Jul
dust213–60.0222%31 Jul
nuke16–130.0325%31 Jul
mirage8–130.0029%31 Jul
mirage4–130.0423%30 Jul
cache15–150.0422%30 Jul
vertigo12–120.0319%29 Jul
ancient13–30.1220%25 Jul
cache13–10-0.0112%25 Jul
cache13–100.0312%25 Jul
dust213–5-0.0028%25 Jul
inferno10–130.0517%25 Jul
dust213–7-0.0632%25 Jul
cache13–80.0226%24 Jul
anubis16–130.0521%24 Jul
inferno10–13-0.0226%24 Jul
cache13–100.0919%24 Jul
nuke8–4-0.0518%24 Jul
dust213–7-0.0126%24 Jul
inferno7–13-0.0320%24 Jul
ancient6–130.0123%24 Jul
mirage13–16-0.0218%23 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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