Grazy

Grazy — CS2 Stats

US76561198387419070[U:1:427153342]Steam profile ↗✓ No bans

1,473Tracked matches55%Win rate2021Tracked since
2,878Hours in CS0Hrs last 2 wks
CSDB Rating5.0 Developing
Ladder ranks via Leetify

Performance scores

Aim55
Positioning39
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY49492Last 10049%Win rateLWWLLLWWTL

Last 10 vs previous 10: -30pp win rate · +0.01 avg rating

Player DNA

Aim5.5
Aggression5.0
Utility5.5
Positioning3.9
Opening Duels0.8

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 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

Strengths

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 638ms 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

Aim5.5
Positioning3.9
Utility5.5
Mechanics6.6
Opening Duels1.1
Win Impact6.7

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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time647ms+23ms
first ⅓ avg 624ms → last ⅓ avg 647ms
Headshot accuracy18.7%+2.9%
first ⅓ avg 15.8% → last ⅓ avg 18.7%

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

0.12Best rating — anubis 13–9
130Biggest win — anubis
4Longest win streak
57In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 63% over 8trainWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
anubisA25141156%-0.01
cacheB1910953%-0.02
infernoB157847%-0.01
overpassA106460%-0.03
ancientA95456%-0.01
dust2A85363%-0.01
trainD72529%-0.02
mirage3030%0.00
warden1010%-0.01
alpine1010%-0.11
poseidon1010%-0.12
dogtown1010%-0.22

Across the last 100 tracked matches.

Lifetime stats

92,781Lifetime kills
1.11K/D · Top 50% of tracked players
5,990Matches
46.0%Match win rate · Top 50% of tracked players
40.2%Headshot %
20.0%Shot accuracy · Top 5% of tracked players
9,920MVPs
1,723Hours (in match)
3,635Bombs planted
2,154Bombs defused

Most-used weapons

AK-4726,575
AWP7,211
SG 5533,910
AUG2,415
SSG 081,681

Lifetime map wins

4,718dust2
3,321inferno
1,664train
1,440vertigo
1,282nuke
865cbble
184lake
182office

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.

18.9%Headshot accuracy
30.6%Accuracy (enemy spotted)
31.2%Spray accuracy
79.7%Counter-strafing
9.8°Preaim
638msReaction time
27.4%T opening success
39.1%CT opening success
0.83Enemies flashed / flash
7.4%Flash assists
8.76HE damage / grenade
3.70Flashes / 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 3.696 — 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 27.409% — below the 40% mark we flag

Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage11–130.0321%25 Jul
dust213–4-0.0013%25 Jul
anubis13–80.0230%4 Jul
anubis6–13-0.0132%4 Jul
inferno11–13-0.0612%3 Jul
anubis6–13-0.0632%3 Jul
anubis13–3-0.0626%29 Jun
cache13–110.0324%28 Jun
cache12–120.0218%27 Jun
cache8–130.0226%27 Jun
inferno4–13-0.0618%27 Jun
overpass13–6-0.0517%26 Jun
anubis13–8-0.029%26 Jun
cache13–5-0.0024%26 Jun
cache13–11-0.0316%24 Jun
cache9–13-0.0617%19 Jun
anubis13–00.0916%18 Jun
cache10–13-0.0322%17 Jun
dust213–7-0.0523%17 Jun
cache13–40.0313%10 Jun
inferno13–70.0124%5 Jun
anubis11–130.0211%4 Jun
ancient13–80.006%1 Jun
cache13–6-0.0614%1 Jun
anubis11–13-0.0414%1 Jun
cache13–2-0.0020%1 Jun
inferno7–13-0.0622%29 May
cache13–30.0428%29 May
warden9–13-0.0117%23 May
cache5–13-0.057%23 May
cache4–13-0.0335%23 May
overpass7–13-0.0810%23 May
inferno2–9-0.110%23 May
inferno13–40.0032%22 May
alpine5–13-0.1128%21 May
cache2–13-0.0913%19 May
anubis11–13-0.0324%17 May
cache8–13-0.0619%12 May
dust24–11-0.0423%12 May
anubis13–30.0330%11 May
anubis8–13-0.0024%5 May
cache5–13-0.0514%5 May
cache13–8-0.0814%2 May
cache13–40.0118%2 May
cache13–20.0417%29 Apr
train5–13-0.0518%26 Apr
dust210–13-0.0316%26 Mar
anubis5–13-0.0620%26 Mar
poseidon8–8-0.1216%14 Mar
anubis13–30.0220%14 Mar
anubis13–40.0421%21 Feb
overpass13–6-0.0128%10 Jan
inferno13–30.0025%10 Jan
anubis8–13-0.0926%5 Jan
train9–13-0.0618%2 Jan
anubis13–8-0.0218%1 Jan
mirage11–130.0213%2 Sept
ancient13–100.0214%23 Aug
dust213–80.0413%23 Aug
overpass13–9-0.0020%21 Aug
overpass13–11-0.0118%20 Aug
dogtown2–9-0.2213%13 Aug
inferno5–9-0.0421%13 Aug
overpass10–13-0.0311%12 Aug
inferno4–13-0.0020%12 Aug
ancient11–130.0014%7 Aug
train7–13-0.0135%6 Aug
inferno13–00.0813%6 Aug
overpass13–16-0.0317%3 Aug
overpass13–70.0016%3 Aug
ancient3–13-0.0411%2 Aug
inferno5–13-0.0120%2 Aug
dust25–130.0328%1 Aug
ancient13–11-0.0413%31 Jul
dust213–8-0.0226%30 Jul
inferno4–13-0.077%29 Jul
overpass13–11-0.018%28 Jul
anubis13–10-0.0914%26 Jul
mirage7–13-0.0517%26 Jul
ancient13–3-0.0415%23 Jul
train16–130.0518%22 Jul
overpass2–13-0.0427%22 Jul
train13–70.0416%20 Jul
anubis13–10-0.0313%17 Jul
ancient5–13-0.0412%17 Jul
inferno13–30.0121%16 Jul
train3–13-0.0215%16 Jul
anubis13–90.1217%15 Jul
anubis13–8-0.0212%14 Jul
train10–13-0.0615%13 Jul
anubis10–130.0520%12 Jul
anubis13–100.039%12 Jul
anubis6–13-0.0312%4 Jul
inferno10–30.1211%3 Jul
anubis13–70.0720%2 Jul
inferno13–70.0520%1 Jul
dust213–100.0117%1 Jul
ancient9–13-0.0310%28 Jun
ancient13–60.0814%28 Jun
anubis9–13-0.0518%28 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →