Hagura — CS2 Stats

76561198848818999[U:1:888553271]✓ No bans

229Tracked matches40%Win rate2021Tracked since
266Hours in CS2Hrs last 2 wks
CSDB Rating1.9 Learning
Ladder ranks via Leetify

Performance scores

Aim19
Positioning29
Utility4

0–100 skill scores via Leetify.

Recent form

STEADY46495Last 10046%Win rateLLWWWLLLWL

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

Player DNA

Aim1.9
Aggression0.1
Utility0.4
Positioning2.9
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 54% playstyle similarity

Most alike: opening-duel success, 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. 687ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.9
Positioning2.9
Utility0.4
Mechanics3.4
Opening Duels0.0
Win Impact1.7

Composite 1.9/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time695ms−12ms
first ⅓ avg 707ms → last ⅓ avg 695ms
Headshot accuracy10.4%+1.5%
first ⅓ avg 8.8% → last ⅓ avg 10.4%

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 — office 13–3
132Biggest win — agency
7Longest win streak
L2Current streak
73In matches decided by ≤2 rounds

Map breakdown

trainBest map · 80% over 5nukeWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
ancientC146843%-0.02
dust2C146843%0.01
infernoS139469%-0.01
mirageB126650%-0.02
nukeD101910%-0.07
cacheB63350%-0.03
officeS64267%-0.01
overpassD51420%-0.02
trainS54180%-0.01
italy32167%-0.00
agency31233%-0.06
grail31233%-0.04
palacio21150%-0.04
golden2020%-0.05
rooftop1010%-0.18
vertigo110100%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,326Lifetime kills
0.81K/D
468Matches
39.3%Match win rate
30.6%Headshot %
10.1%Shot accuracy
576MVPs
247Hours (in match)
377Bombs planted
67Bombs defused

Most-used weapons

Lifetime map wins

509inferno
345nuke
273dust2
248office
83vertigo
69train
48italy
30bank

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.

10.2%Headshot accuracy
30.6%Accuracy (enemy spotted)
34.3%Spray accuracy
65.1%Counter-strafing
14.2°Preaim
687msReaction time
11.6%T opening success
19.0%CT opening success
0.08Enemies flashed / flash
2.3%Flash assists
0.18HE damage / grenade
0.94Flashes / 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 14.1898° — 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 10.2461% — below the 15% mark we flag

    Aim Training
  3. 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 0.0813 — 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.

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache4–13-0.0313%28 May
cache2–13-0.0310%26 May
cache13–110.0012%21 May
cache13–11-0.0411%16 May
cache13–11-0.025%14 May
cache1–13-0.070%7 May
nuke8–13-0.0411%19 Jan
italy10–13-0.108%7 Jan
inferno13–7-0.044%7 Jan
palacio10–13-0.068%6 Jan
office13–30.1213%6 Jan
nuke4–13-0.0311%6 Jan
inferno13–7-0.0211%28 Dec
ancient2–9-0.0522%24 Dec
agency13–2-0.048%22 Dec
nuke7–13-0.029%20 Dec
rooftop2–9-0.187%20 Dec
palacio13–5-0.0115%19 Dec
ancient3–13-0.0617%19 Dec
italy13–50.0611%17 Dec
office13–3-0.0317%17 Dec
golden0–6-0.090%15 Nov
dust29–13-0.078%15 Nov
ancient0–11-0.018%9 Nov
dust26–130.0319%9 Nov
dust28–13-0.0311%6 Nov
office13–110.008%26 Oct
dust27–130.0413%24 Oct
golden7–5-0.009%24 Oct
dust21–6-0.097%5 Oct
overpass13–7-0.048%27 Sept
train13–70.0914%13 Sept
ancient13–80.0314%13 Sept
dust213–70.069%7 Sept
inferno13–50.0910%7 Sept
ancient13–5-0.004%6 Sept
ancient13–50.0111%30 Aug
mirage4–13-0.076%30 Aug
nuke3–9-0.220%21 Aug
dust24–13-0.037%20 Aug
inferno3–13-0.052%20 Aug
dust213–30.0910%20 Aug
mirage9–13-0.1012%19 Aug
ancient6–13-0.047%19 Aug
nuke4–13-0.1014%19 Aug
inferno13–50.0413%19 Aug
ancient13–8-0.056%18 Aug
dust29–130.0113%18 Aug
train13–5-0.0213%18 Aug
grail5–5-0.0018%18 Aug
mirage13–90.0312%18 Aug
train13–11-0.028%17 Aug
ancient6–13-0.0012%16 Aug
overpass4–13-0.0514%14 Aug
office7–13-0.093%14 Aug
inferno8–13-0.0213%14 Aug
grail0–13-0.109%9 Aug
nuke10–13-0.0713%9 Aug
mirage4–13-0.1010%8 Aug
inferno13–8-0.039%8 Aug
dust213–9-0.009%7 Aug
dust213–5-0.030%7 Aug
ancient13–11-0.007%7 Aug
mirage7–13-0.068%6 Aug
inferno13–9-0.0315%6 Aug
inferno13–80.039%5 Aug
train9–13-0.0610%5 Aug
inferno10–13-0.039%4 Aug
office13–50.019%4 Aug
dust28–13-0.013%4 Aug
mirage13–90.017%4 Aug
nuke12–12-0.088%4 Aug
train13–11-0.0413%4 Aug
ancient12–120.024%2 Aug
inferno13–10-0.0110%2 Aug
mirage13–4-0.0110%2 Aug
vertigo13–8-0.019%1 Aug
nuke2–13-0.096%1 Aug
mirage12–12-0.0211%31 Jul
office6–13-0.0414%31 Jul
ancient11–13-0.097%31 Jul
mirage7–13-0.0116%31 Jul
dust213–100.0511%31 Jul
agency4–13-0.0811%28 Jul
inferno13–10-0.049%28 Jul
grail13–9-0.017%26 Jul
ancient13–5-0.014%26 Jul
nuke8–13-0.0511%23 Jul
dust213–50.0510%22 Jul
overpass12–120.016%21 Jul
nuke13–5-0.0210%21 Jul
overpass8–13-0.0111%20 Jul
mirage13–80.005%20 Jul
inferno1–13-0.0512%20 Jul
mirage13–9-0.0220%19 Jul
overpass10–13-0.014%17 Jul
mirage13–100.0611%17 Jul
agency12–12-0.064%15 Jul
italy6–10.034%15 Jul
ancient9–13-0.048%15 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 →