Hyquare — CS2 Stats

76561198004645370[U:1:44379642]

129Tracked matches66%Win rate2023Tracked since
466Hours in CS
CSDB Rating4.8 Developing
Ladder ranks via Leetify

Performance scores

Aim49
Positioning37
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY49492Last 10049%Win rateLWLLWWWWWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim4.9
Aggression3.7
Utility2.5
Positioning3.7
Opening Duels0.3

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 73% 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

T-side openings. Opening success drops from 40% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 698ms 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

Aim4.9
Positioning3.7
Utility2.5
Mechanics7.3
Opening Duels1.3
Win Impact10.0

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 -0.02 → last ⅓ avg -0.01
Reaction time705ms−27ms
first ⅓ avg 732ms → last ⅓ avg 705ms
Headshot accuracy12.7%−1.6%
first ⅓ avg 14.3% → last ⅓ avg 12.7%

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

0.09Best rating — mirage 13–1
131Biggest win — nuke
5Longest win streak
710In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 60% over 25ancientWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
infernoA25151060%-0.00
dust2B24121250%-0.02
mirageB168850%-0.01
ancientC145936%-0.01
nukeB136746%-0.02
train21150%0.02
anubis110100%-0.02
cache110100%-0.02
vertigo1010%-0.04
overpass1010%-0.01
grail1010%-0.08
jura1010%-0.06

Across the last 100 tracked matches.

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

Lifetime stats

19,488Lifetime kills
0.93K/D
1,334Matches
41.6%Match win rate
37.5%Headshot %
16.9%Shot accuracy · Top 25% of tracked players
1,936MVPs
466Hours (in match)
1,195Bombs planted
244Bombs defused

Most-used weapons

Lifetime map wins

2,788dust2
2,683inferno
784nuke
221train
136vertigo
93cbble
75safehouse
67lake

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.

12.5%Headshot accuracy
31.4%Accuracy (enemy spotted)
31.0%Spray accuracy
82.7%Counter-strafing
8.3°Preaim
698msReaction time
22.2%T opening success
40.2%CT opening success
0.57Enemies flashed / flash
0.5%Flash assists
11.37HE damage / grenade
1.73Flashes / 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. 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 12.4912% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

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

    Flashes per match 1.7257 — below the 4 mark we flag

    Grenade Lineups
  3. 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 22.2189% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.018%19 Jul
inferno13–20.0910%17 Jul
inferno3–13-0.1014%17 Jul
inferno14–16-0.0112%13 Jul
mirage16–14-0.0312%12 Jul
inferno13–70.010%24 Jun
dust213–70.0123%15 Jun
nuke13–40.0011%11 Jun
ancient13–10-0.016%10 Jun
dust28–13-0.0713%9 Jun
ancient13–8-0.0218%8 Jun
inferno8–13-0.0213%5 Jun
dust213–60.0222%2 Jun
mirage13–6-0.0111%30 May
dust213–5-0.0015%15 May
nuke9–13-0.048%15 May
ancient15–150.0810%13 May
dust211–13-0.0620%12 May
ancient13–70.008%6 May
anubis13–8-0.0210%5 May
inferno13–100.0912%3 May
nuke8–13-0.059%3 May
mirage13–110.0612%2 May
cache13–10-0.0215%1 May
nuke13–6-0.0016%1 May
inferno13–10-0.0717%28 Apr
mirage5–13-0.0210%27 Apr
inferno16–120.0211%26 Apr
mirage13–9-0.0213%26 Apr
mirage9–13-0.0914%24 Apr
inferno13–110.0213%21 Apr
ancient13–5-0.0110%19 Apr
dust26–13-0.0221%17 Apr
inferno13–11-0.0324%14 Apr
inferno13–110.0120%13 Apr
dust213–50.0414%11 Apr
nuke13–16-0.0517%10 Apr
nuke13–10.058%9 Apr
mirage3–13-0.063%9 Apr
dust26–13-0.0321%8 Apr
nuke13–90.0716%2 Apr
mirage10–13-0.0413%1 Apr
nuke10–13-0.037%25 Mar
dust211–13-0.0116%23 Mar
ancient10–130.0213%6 Mar
mirage13–100.0014%3 Mar
nuke8–13-0.057%24 Feb
inferno13–8-0.034%19 Feb
inferno7–13-0.0821%16 Feb
nuke9–13-0.0115%6 Feb
dust25–13-0.0216%3 Feb
inferno13–7-0.0111%17 Jan
vertigo6–13-0.0410%4 Jan
inferno13–50.0617%4 Dec
inferno13–70.0417%2 Dec
mirage13–160.0215%12 Nov
ancient4–13-0.0613%6 Nov
ancient13–10-0.0615%3 Nov
inferno4–13-0.0121%29 Oct
inferno13–10-0.056%27 Oct
mirage13–10.0918%27 Oct
mirage11–13-0.0013%26 Oct
nuke11–13-0.0411%22 Oct
train11–130.0331%18 Oct
ancient4–13-0.0211%18 Oct
dust213–160.034%15 Oct
mirage11–13-0.0814%14 Oct
mirage13–40.0115%14 Oct
dust213–11-0.0121%9 Oct
dust29–13-0.028%5 Oct
dust24–13-0.0517%30 Sept
dust211–13-0.0413%28 Sept
overpass4–13-0.019%25 Sept
inferno13–80.037%23 Sept
ancient10–130.0112%11 Aug
dust27–13-0.0513%11 Aug
dust213–50.0320%23 Jul
mirage6–130.0021%23 Jul
dust29–13-0.0710%21 Jul
dust213–40.0722%20 Jul
mirage13–5-0.0511%18 Jul
inferno8–13-0.086%18 Jul
ancient10–130.0014%16 Jul
dust216–12-0.0614%16 Jul
dust213–6-0.0217%12 Jul
inferno13–40.0213%19 Jun
train13–40.017%14 Jun
inferno9–130.0113%13 Jun
ancient6–13-0.049%10 Jun
dust213–10-0.0612%9 Jun
dust213–70.0229%3 Jun
nuke13–9-0.0410%28 May
ancient11–13-0.0819%27 May
inferno8–130.0317%26 May
inferno10–13-0.0114%25 May
ancient11–13-0.0218%25 May
dust216–130.0215%24 May
grail12–12-0.0835%22 May
jura2–13-0.060%22 May
nuke13–11-0.0315%21 May

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 →