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Grand Yab

Grand Yab — CS2 Stats

RE76561198363246352[U:1:402980624]Steam profile ↗

658Tracked matches50%Win rate2020Tracked since
1,994Hours in CS1Hrs last 2 wks
CSDB Rating4.8 Developing
WingmanSilver III
Ladder ranks via Leetify

Performance scores

Aim54
Positioning48
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY58–41–1Last 10058%Win rateLLLWLLWWWL

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

Player DNA

Aim5.4
Aggression6.5
Utility3.1
Positioning4.8
Opening Duels2.3

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Aim5.4
Positioning4.8
Utility3.1
Mechanics6.8
Opening Duels2.3
Win Impact5.0

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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time645ms−4ms
first ⅓ avg 649ms → last ⅓ avg 645ms
Headshot accuracy13.1%−3.4%
first ⅓ avg 16.6% → last ⅓ avg 13.1%

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

0.13Best rating — mirage 9–13
13–0Biggest win — dust2
7Longest win streak
L3Current streak
3–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 69% over 29nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2S2920–969%0.02
mirageA2113–862%0.01
infernoB178–947%0.01
ancientB115–645%0.02
nukeD62–433%0.00
trainS64–267%0.02
anubisS64–267%0.01
overpass—42–250%0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

49,648Lifetime kills
1.34K/D · Top 10% of tracked players
2,205Matches
46.3%Match win rate · Top 50% of tracked players
45.3%Headshot % · Top 50% of tracked players
16.4%Shot accuracy · Top 25% of tracked players
5,143MVPs
739Hours (in match)
2,595Bombs planted
677Bombs defused

Most-used weapons

AK-4715,506
M4A4 / M4A1-S9,249
AWP4,130
P2000 / USP-S2,341
Glock-182,116
Desert Eagle1,977
Galil AR1,410
FAMAS1,265
MAC-101,079
P901,059

Lifetime map wins

5,748dust2
2,992inferno
576nuke
501vertigo
372cbble
297train
96lake
68bank

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.

12.7%Headshot accuracy
33.4%Accuracy (enemy spotted)
33.4%Spray accuracy
80.5%Counter-strafing
10.1°Preaim
631msReaction time
32.2%T opening success
46.3%CT opening success
0.60Enemies flashed / flash
4.7%Flash assists
8.76HE damage / grenade
6.40Flashes / 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 12.6658% — below the 15% mark we flag

    Aim Training →
  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 32.1722% — below the 40% mark we flag

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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0210%26 May →
inferno3–13-0.0416%21 May →
inferno5–13-0.0610%2 Apr →
dust213–80.0212%2 Apr →
overpass5–13-0.0218%29 Mar →
mirage9–130.1318%28 Mar →
overpass13–11-0.0114%28 Mar →
mirage13–90.0013%27 Mar →
dust213–100.0510%23 Mar →
ancient2–80.0423%23 Oct →
dust213–90.1112%18 Oct →
ancient13–50.0514%18 Oct →
dust29–13-0.066%11 Oct →
overpass1–6-0.019%11 Oct →
dust213–7-0.0011%10 Oct →
nuke13–90.005%26 Jul →
dust213–30.0815%25 Jul →
inferno10–13-0.0511%30 Apr →
dust213–50.1315%30 Apr →
train13–80.0117%30 Apr →
train13–100.0410%30 Apr →
nuke7–130.0419%29 Apr →
dust24–13-0.0914%29 Apr →
mirage7–13-0.079%10 Apr →
inferno13–160.0415%10 Feb →
mirage13–60.015%8 Feb →
dust213–6-0.0621%7 Feb →
train13–100.0613%6 Feb →
nuke6–13-0.042%6 Feb →
dust26–13-0.0119%6 Feb →
mirage13–50.0616%6 Feb →
inferno13–60.0811%6 Feb →
train5–130.0422%3 Feb →
dust213–30.1119%3 Feb →
dust213–00.0917%3 Feb →
inferno8–13-0.0430%3 Feb →
dust211–130.0624%2 Feb →
mirage13–50.0112%2 Feb →
train13–80.0211%2 Feb →
mirage8–13-0.0117%2 Feb →
dust213–80.0014%2 Feb →
mirage13–60.0615%2 Feb →
nuke10–130.0113%2 Feb →
nuke8–130.028%1 Feb →
train5–13-0.0425%28 Jan →
dust213–7-0.0111%28 Jan →
dust213–00.0121%28 Jan →
overpass13–10.0610%28 Jan →
ancient5–13-0.0517%26 Jan →
dust213–80.0715%26 Jan →
mirage13–20.059%26 Jan →
dust210–13-0.0017%26 Jan →
ancient13–40.0517%26 Jan →
mirage13–60.0211%26 Jan →
inferno2–13-0.0740%24 Jan →
mirage13–100.0313%23 Jan →
dust213–60.0919%23 Jan →
mirage9–13-0.0116%22 Jan →
inferno7–13-0.0114%22 Jan →
anubis13–90.0313%22 Jan →
dust25–130.056%21 Jan →
mirage7–13-0.0116%21 Jan →
inferno13–3-0.0414%21 Jan →
mirage13–30.0117%21 Jan →
dust27–13-0.0915%19 Jan →
anubis13–70.0528%18 Jan →
anubis6–13-0.0711%17 Jan →
dust213–50.068%17 Jan →
inferno13–5-0.0210%17 Jan →
mirage13–8-0.0513%17 Jan →
dust28–130.0022%16 Jan →
mirage7–13-0.0311%16 Jan →
mirage13–70.0521%16 Jan →
inferno13–70.0819%15 Jan →
mirage10–13-0.0116%15 Jan →
inferno13–50.0517%15 Jan →
ancient3–130.0417%15 Jan →
dust213–40.0115%15 Jan →
inferno13–80.0218%14 Jan →
dust213–90.0116%13 Jan →
ancient13–90.0410%13 Jan →
anubis13–100.0716%12 Jan →
ancient13–30.0920%12 Jan →
ancient3–13-0.0711%11 Jan →
inferno14–160.0521%10 Jan →
inferno13–80.0113%10 Jan →
mirage2–13-0.0645%10 Jan →
ancient8–130.0212%10 Jan →
ancient10–00.0430%10 Jan →
mirage13–20.0118%10 Jan →
inferno13–50.0722%10 Jan →
anubis13–70.057%9 Jan →
nuke13–11-0.0315%9 Jan →
mirage13–80.0319%9 Jan →
dust213–8-0.0323%9 Jan →
inferno8–80.1310%6 Jan →
anubis11–13-0.059%6 Jan →
dust213–110.0713%2 Jan →
ancient2–13-0.0715%30 Dec →
dust213–20.0213%28 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

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