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Graber2

Graber2 — CS2 Stats

DE76561198408288315[U:1:448022587]Steam profile ↗

379Tracked matches30%Win rate2022Tracked since
211Hours in CS
CSDB Rating1.7 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGGraber2FACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim14
Positioning47
Utility2

0–100 skill scores via Leetify.

Recent form

STEADY31–62–7Last 10031%Win rateWLLWLLWWLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim1.4
Aggression4.2
Utility0.2
Positioning4.7
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 66% 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

Reaction time. 712ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% 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

Aim1.4
Positioning4.7
Utility0.2
Mechanics1.8
Opening Duels0.8
Win Impact0.0

Composite 1.7/10 (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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time710ms−7ms
first ⅓ avg 717ms → last ⅓ avg 710ms
Headshot accuracy10.6%+0.1%
first ⅓ avg 10.5% → last ⅓ avg 10.6%

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

0.10Best rating — nuke 13–10
13–1Biggest win — dust2
3Longest win streak
4–7In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 37% over 19trainWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C197–1237%-0.05
nukeD186–1233%-0.04
infernoC145–936%-0.02
vertigoD93–633%-0.06
trainD91–811%-0.05
edinD72–529%-0.04
mirageD51–420%-0.07
cache—42–250%-0.02
anubis—31–233%-0.02
office—30–30%-0.04
ancient—20–20%-0.04
basalt—21–150%-0.07
fachwerk—10–10%0.00
boulder—11–0100%-0.00
shelter—11–0100%-0.03
alpine—10–10%0.00
grail—10–10%-0.11

Across the last 100 tracked matches.

Lifetime stats

9,150Lifetime kills
0.66K/D
746Matches
27.1%Match win rate
33.1%Headshot %
3.5%Shot accuracy
579MVPs
211Hours (in match)
678Bombs planted
50Bombs defused

Most-used weapons

AK-471,851
M4A4 / M4A1-S1,622
AWP536
P2000 / USP-S458
SCAR-20390
G3SG1311
Glock-18302
MP7301
Desert Eagle292
AUG264

Lifetime map wins

822inferno
784nuke
617dust2
560vertigo
97train
59office
26ar_baggage
25ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1Matches
0%Win rate
0.33Avg K/D
—ADR
0%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

10.8%Headshot accuracy
31.9%Accuracy (enemy spotted)
34.3%Spray accuracy
57.9%Counter-strafing
15.1°Preaim
712msReaction time
35.9%T opening success
30.4%CT opening success
0.00Enemies flashed / flash
0.0%Flash assists
0.99HE damage / grenade
0.09Flashes / 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 15.1451° — 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 10.8465% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 712.2328ms — above the 700ms mark we flag

    Aim Training →
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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache13–11-0.0212%7 Aug →
inferno4–130.0612%20 Jul →
fachwerk4–130.007%20 Jul →
vertigo13–6-0.088%20 Jul →
nuke5–13-0.095%19 Jul →
mirage11–13-0.059%19 Jul →
boulder13–2-0.0016%12 Jul →
shelter13–11-0.032%12 Jul →
dust211–13-0.0810%10 Jul →
vertigo3–13-0.0912%10 Jul →
inferno9–13-0.049%3 Jul →
train2–13-0.1216%3 Jul →
nuke9–13-0.0513%30 Jun →
dust25–13-0.0613%30 Jun →
anubis3–13-0.0415%21 Jun →
cache8–13-0.0115%21 Jun →
vertigo4–13-0.1010%21 Jun →
inferno13–10-0.0811%21 Jun →
vertigo13–7-0.0114%20 Jun →
nuke3–13-0.057%20 Jun →
nuke13–90.0213%20 Jun →
nuke6–13-0.0721%7 Jun →
mirage3–13-0.120%7 Jun →
dust25–13-0.0221%26 May →
vertigo4–13-0.034%26 May →
cache11–13-0.058%19 May →
nuke13–100.1016%19 May →
train2–13-0.0613%19 May →
mirage4–13-0.044%19 May →
cache13–80.0012%19 May →
dust22–13-0.107%9 May →
nuke8–13-0.046%19 Mar →
train10–13-0.029%19 Mar →
dust24–13-0.0417%19 Mar →
dust213–9-0.047%18 Mar →
nuke13–8-0.0210%18 Mar →
inferno13–30.0313%18 Mar →
ancient6–13-0.0410%23 Jan →
alpine12–120.0013%23 Jan →
dust213–8-0.018%10 Jan →
nuke5–13-0.124%10 Jan →
inferno13–100.015%8 Jan →
dust213–1-0.079%8 Jan →
nuke6–130.0010%1 Jan →
inferno1–12-0.026%28 Nov →
dust213–8-0.0329%28 Nov →
mirage6–13-0.1410%28 Nov →
inferno4–13-0.0912%22 Sept →
dust26–13-0.1110%22 Sept →
grail4–13-0.115%7 Sept →
inferno13–80.009%12 Aug →
vertigo9–13-0.0617%28 Jul →
train3–13-0.0627%28 Jul →
vertigo3–13-0.0113%26 Jun →
train3–13-0.090%26 Jun →
nuke4–13-0.109%1 May →
ancient3–13-0.0311%1 May →
dust23–13-0.0512%1 May →
vertigo6–13-0.1117%1 May →
office7–13-0.0510%12 Apr →
basalt13–8-0.063%12 Apr →
inferno10–13-0.020%11 Apr →
mirage13–70.039%11 Apr →
dust212–12-0.078%11 Apr →
nuke5–13-0.0211%29 Mar →
dust29–13-0.0719%29 Mar →
nuke9–13-0.0314%21 Mar →
inferno5–13-0.0610%20 Mar →
nuke13–7-0.058%20 Mar →
nuke13–11-0.0512%11 Mar →
inferno13–90.0117%11 Mar →
dust211–13-0.0524%11 Mar →
dust213–8-0.043%27 Feb →
inferno4–13-0.0515%27 Feb →
office10–13-0.047%26 Feb →
train12–12-0.057%26 Feb →
nuke7–13-0.0910%21 Feb →
edin12–12-0.0913%24 Jan →
edin12–12-0.0312%24 Jan →
edin12–120.026%21 Jan →
edin13–8-0.057%21 Jan →
edin13–4-0.123%21 Jan →
nuke13–6-0.0312%17 Jan →
anubis8–13-0.0011%16 Jan →
train13–50.016%16 Jan →
dust210–130.0116%16 Jan →
dust213–9-0.0510%6 Jan →
train5–13-0.025%6 Jan →
inferno12–12-0.0212%25 Dec →
edin4–130.0110%5 Dec →
office4–13-0.036%5 Dec →
basalt7–13-0.087%2 Dec →
inferno9–13-0.0616%2 Dec →
dust213–11-0.0215%2 Dec →
vertigo13–8-0.0111%27 Nov →
nuke11–13-0.0311%27 Nov →
dust24–13-0.060%24 Nov →
train11–13-0.0315%24 Nov →
anubis13–10-0.0311%23 Nov →
edin11–13-0.0220%23 Nov →

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 →

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