gaber — CS2 Stats

DJ76561198079941786[U:1:119676058]Steam profile ↗✓ No bans

296Tracked matches38%Win rate2020Tracked since

CSDB Rating3.9 Learning

Ladder ranks via Leetify

Performance scores

Aim45

Positioning42

Utility29

0–100 skill scores via Leetify.

Recent form

STEADY36–59–5Last 10036%Win rateTLLWWWLWLL

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

Player DNA

Aim4.5

Aggression2.9

Utility2.9

Positioning4.2

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

Plays most like NiKo 68% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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. 703ms 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

Aim4.5

Positioning4.2

Utility2.9

Mechanics7.7

Opening Duels0.5

Win Impact1.0

Composite 3.9/10 (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 -0.04 → last ⅓ avg -0.03

Reaction time707ms+26ms

first ⅓ avg 681ms → last ⅓ avg 707ms

Headshot accuracy11.6%+1.6%

first ⅓ avg 10.0% → last ⅓ avg 11.6%

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

0.13Best rating — inferno 13–4

13–0Biggest win — cache

3Longest win streak

3–9In matches decided by ≤2 rounds

3Overtime games

Map breakdown

infernoBest map · 50% over 12mirageWeakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	25	11–14	44%	-0.03
ancient	D	15	5–10	33%	-0.04
nuke	D	14	3–11	21%	-0.05
inferno	B	12	6–6	50%	-0.02
mirage	D	11	2–9	18%	-0.05
cache	B	11	5–6	45%	-0.03
anubis	D	5	1–4	20%	-0.06
train	—	4	2–2	50%	-0.04
overpass	—	3	1–2	33%	-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.6%Headshot accuracy

32.6%Accuracy (enemy spotted)

33.0%Spray accuracy

84.5%Counter-strafing

10.7°Preaim

703msReaction time

25.0%T opening success

34.1%CT opening success

0.50Enemies flashed / flash

2.1%Flash assists

7.58HE damage / grenade

2.94Flashes / 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.

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 11.5931% — below the 15% mark we flag
Aim Training →
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 703.0197ms — above the 700ms mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.9443 — below the 4 mark we flag
Grenade Lineups →

Spend your practice time on Mirage

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	12–12	-0.04	18%	29 Aug →
dust2	7–13	0.05	19%	29 Aug →
mirage	1–13	-0.10	8%	29 Aug →
cache	13–5	-0.06	13%	29 Aug →
dust2	13–5	-0.01	8%	25 Aug →
mirage	13–8	-0.04	13%	25 Aug →
dust2	11–13	0.02	9%	25 Aug →
inferno	13–8	-0.02	7%	25 Aug →
cache	3–13	-0.04	3%	23 Aug →
mirage	3–13	-0.01	13%	23 Aug →
train	13–11	-0.05	13%	23 Aug →
cache	13–8	0.03	12%	23 Aug →
dust2	11–13	-0.04	5%	23 Aug →
cache	13–8	-0.05	13%	21 Aug →
inferno	0–13	-0.09	14%	21 Aug →
dust2	11–13	-0.06	9%	21 Aug →
dust2	10–13	-0.06	9%	21 Aug →
inferno	7–13	-0.03	14%	4 Aug →
dust2	13–7	0.03	34%	4 Aug →
ancient	13–11	0.00	12%	31 Jul →
mirage	7–13	-0.06	9%	31 Jul →
cache	11–13	-0.06	7%	29 Jul →
inferno	13–11	-0.01	7%	29 Jul →
mirage	9–13	-0.05	8%	27 Jul →
inferno	13–4	0.13	26%	27 Jul →
dust2	5–13	-0.03	12%	23 Jul →
dust2	8–13	-0.02	15%	10 Jul →
cache	6–13	-0.09	9%	10 Jul →
nuke	5–13	-0.01	8%	12 Jun →
dust2	8–13	-0.07	7%	19 May →
cache	6–13	-0.03	11%	19 May →
dust2	13–7	-0.03	9%	15 May →
cache	13–0	-0.05	12%	15 May →
nuke	10–13	-0.09	12%	30 Apr →
cache	13–10	-0.01	12%	30 Apr →
cache	4–13	0.06	16%	30 Apr →
cache	3–13	-0.05	11%	29 Apr →
dust2	12–12	0.00	9%	14 Apr →
inferno	5–13	-0.07	13%	12 Apr →
nuke	6–13	-0.04	12%	12 Apr →
nuke	13–8	-0.05	4%	8 Apr →
mirage	9–13	-0.05	4%	8 Apr →
ancient	13–6	-0.02	0%	8 Apr →
anubis	8–13	-0.07	2%	2 Apr →
mirage	15–15	-0.04	7%	26 Mar →
anubis	3–13	-0.10	0%	26 Mar →
dust2	13–7	-0.01	27%	26 Mar →
inferno	8–13	-0.09	11%	25 Mar →
dust2	13–4	-0.08	44%	25 Mar →
train	13–4	-0.05	20%	25 Mar →
nuke	12–12	-0.08	4%	19 Mar →
dust2	13–3	-0.05	10%	19 Mar →
overpass	6–13	-0.05	6%	19 Mar →
ancient	1–13	-0.01	14%	17 Mar →
ancient	10–13	-0.09	7%	16 Mar →
inferno	13–7	0.03	4%	16 Mar →
overpass	8–13	-0.00	3%	16 Mar →
anubis	2–13	-0.06	10%	16 Mar →
ancient	13–6	-0.07	5%	16 Mar →
dust2	2–13	-0.07	14%	15 Mar →
ancient	8–13	0.00	7%	15 Mar →
ancient	5–13	-0.11	0%	14 Mar →
nuke	11–13	-0.03	10%	14 Mar →
anubis	13–0	-0.01	19%	14 Mar →
nuke	13–9	0.02	12%	13 Mar →
dust2	13–10	-0.01	16%	13 Mar →
inferno	7–13	-0.01	8%	12 Mar →
nuke	5–13	-0.07	14%	12 Mar →
dust2	9–13	-0.10	9%	12 Mar →
ancient	8–13	-0.08	9%	11 Mar →
inferno	4–13	-0.03	15%	11 Mar →
ancient	9–13	-0.06	10%	5 Mar →
nuke	11–13	-0.04	11%	5 Mar →
dust2	11–13	-0.05	12%	25 Feb →
nuke	11–13	-0.07	7%	25 Feb →
nuke	13–4	-0.07	0%	25 Feb →
inferno	16–12	-0.04	11%	23 Feb →
mirage	8–13	-0.05	9%	23 Feb →
ancient	3–13	-0.07	12%	20 Feb →
nuke	11–13	-0.07	3%	30 Jan →
mirage	5–13	-0.03	17%	25 Jan →
dust2	8–13	-0.05	16%	25 Jan →
ancient	13–16	-0.06	12%	25 Jan →
mirage	8–13	-0.08	0%	24 Jan →
anubis	12–12	-0.08	7%	24 Jan →
dust2	13–7	-0.02	7%	24 Jan →
overpass	13–8	0.01	4%	24 Jan →
inferno	13–3	0.01	7%	22 Jan →
nuke	3–13	-0.05	9%	14 Jan →
train	2–13	-0.03	6%	14 Jan →
ancient	13–4	0.00	11%	13 Jan →
dust2	8–13	-0.03	11%	13 Jan →
dust2	13–10	-0.01	17%	10 Jan →
ancient	1–13	-0.11	20%	10 Jan →
dust2	13–7	-0.04	6%	10 Jan →
train	7–13	-0.02	24%	10 Jan →
ancient	13–5	0.04	11%	10 Jan →
mirage	8–0	-0.01	0%	10 Jan →
dust2	13–8	-0.04	15%	10 Jan →
ancient	7–13	-0.01	12%	9 Jan →