Gar Licked Bread — CS2 Stats

76561198193272750[U:1:233007022]Steam profile ↗✓ No bans

1,416Tracked matches30%Win rate2024Tracked since

CSDB Rating3.3 Learning

Ladder ranks via Leetify

Performance scores

Aim40

Positioning41

Utility12

0–100 skill scores via Leetify.

Recent form

COLD34–60–6Last 10034%Win rateLTLLLLWLLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim4.0

Aggression6.0

Utility1.2

Positioning4.1

Opening Duels1.8

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

Plays most like Twistzz 72% playstyle similarity

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

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

T-side openings. Opening success drops from 52% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 704ms 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

Aim4.0

Positioning4.1

Utility1.2

Mechanics5.2

Opening Duels2.7

Win Impact0.0

Composite 3.3/10 (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-0.03−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.03

Reaction time709ms−25ms

first ⅓ avg 734ms → last ⅓ avg 709ms

Headshot accuracy15.0%+0.2%

first ⅓ avg 14.8% → last ⅓ avg 15.0%

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

0.07Best rating — dust2 10–13

13–2Biggest win — mirage

4Longest win streak

9–6In matches decided by ≤2 rounds

2Overtime games

Map breakdown

officeBest map · 56% over 16infernoWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	18	6–12	33%	-0.02
mirage	C	18	8–10	44%	-0.03
office	A	16	9–7	56%	-0.02
cache	D	13	3–10	23%	-0.05
inferno	D	7	1–6	14%	-0.00
ancient	D	7	2–5	29%	-0.04
nuke	C	5	2–3	40%	-0.04
anubis	—	3	0–3	0%	-0.02
vertigo	—	3	1–2	33%	-0.01
boulder	—	3	0–3	0%	-0.03
overpass	—	2	0–2	0%	-0.06
shelter	—	1	1–0	100%	-0.06
train	—	1	1–0	100%	-0.03
fachwerk	—	1	0–1	0%	-0.02
debris	—	1	0–1	0%	-0.06
italy	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno 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.

14.7%Headshot accuracy

33.6%Accuracy (enemy spotted)

33.5%Spray accuracy

73.2%Counter-strafing

11.3°Preaim

704msReaction time

22.9%T opening success

51.8%CT opening success

0.24Enemies flashed / flash

1.0%Flash assists

4.69HE damage / grenade

0.75Flashes / 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 14.6905% — 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 703.5877ms — above the 700ms mark we flag
Aim Training →
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 0.2357 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	3–13	0.04	5%	30 Aug →
cache	12–12	-0.07	7%	29 Aug →
dust2	4–13	-0.10	19%	29 Aug →
dust2	7–13	-0.11	17%	28 Aug →
anubis	2–13	0.02	6%	28 Aug →
cache	4–13	-0.02	14%	28 Aug →
cache	13–11	-0.00	12%	26 Aug →
mirage	7–13	-0.10	15%	26 Aug →
ancient	5–13	-0.03	28%	26 Aug →
mirage	2–13	-0.04	16%	25 Aug →
cache	4–13	-0.07	24%	25 Aug →
office	4–13	-0.08	13%	18 Aug →
vertigo	12–12	-0.00	17%	18 Aug →
nuke	11–13	-0.07	18%	18 Aug →
dust2	7–1	0.05	15%	17 Aug →
boulder	9–13	-0.08	10%	17 Aug →
mirage	13–11	-0.03	9%	17 Aug →
nuke	4–13	-0.04	19%	16 Aug →
mirage	12–12	-0.01	8%	16 Aug →
ancient	9–3	-0.02	7%	15 Aug →
mirage	4–13	-0.06	9%	15 Aug →
office	6–13	-0.02	24%	15 Aug →
mirage	8–13	-0.02	25%	15 Aug →
dust2	3–13	-0.06	14%	14 Aug →
mirage	16–13	-0.01	14%	13 Aug →
mirage	13–10	0.00	14%	12 Aug →
mirage	13–9	0.03	14%	12 Aug →
office	11–13	-0.02	15%	11 Aug →
office	8–13	0.00	18%	10 Aug →
shelter	13–7	-0.06	16%	10 Aug →
office	13–9	0.00	26%	6 Aug →
cache	9–13	-0.03	22%	6 Aug →
dust2	10–13	-0.01	6%	5 Aug →
ancient	2–13	-0.08	12%	5 Aug →
dust2	11–13	-0.05	11%	4 Aug →
nuke	3–13	-0.07	7%	3 Aug →
anubis	12–12	-0.06	10%	3 Aug →
ancient	6–13	-0.05	12%	2 Aug →
inferno	8–13	-0.05	13%	1 Aug →
anubis	2–13	-0.02	9%	1 Aug →
office	8–13	0.01	19%	30 Jul →
dust2	3–13	-0.09	12%	30 Jul →
overpass	5–13	-0.10	8%	28 Jul →
dust2	2–13	-0.05	10%	28 Jul →
mirage	13–8	-0.04	10%	27 Jul →
train	13–10	-0.03	16%	27 Jul →
cache	13–9	-0.04	12%	27 Jul →
inferno	7–13	0.02	12%	26 Jul →
dust2	13–8	-0.05	15%	25 Jul →
cache	3–13	-0.06	8%	25 Jul →
dust2	13–9	0.07	23%	23 Jul →
cache	12–12	-0.04	19%	23 Jul →
fachwerk	8–13	-0.02	10%	22 Jul →
mirage	13–2	-0.06	21%	18 Jul →
mirage	5–13	-0.07	15%	17 Jul →
debris	2–9	-0.06	15%	16 Jul →
boulder	11–13	-0.03	13%	15 Jul →
cache	8–13	-0.04	9%	15 Jul →
ancient	9–13	-0.02	9%	13 Jul →
dust2	10–13	-0.05	16%	11 Jul →
mirage	13–7	-0.02	11%	11 Jul →
boulder	7–13	0.01	14%	10 Jul →
cache	8–13	-0.05	17%	9 Jul →
office	13–11	-0.05	19%	7 Jul →
vertigo	13–11	0.02	15%	7 Jul →
cache	13–5	-0.07	18%	6 Jul →
dust2	13–11	-0.05	20%	5 Jul →
mirage	7–13	0.03	11%	5 Jul →
inferno	13–8	0.06	12%	5 Jul →
dust2	10–13	0.01	19%	4 Jul →
dust2	10–13	0.07	17%	2 Jul →
office	6–13	0.01	30%	30 Jun →
inferno	6–13	-0.01	15%	30 Jun →
office	13–11	-0.03	13%	29 Jun →
vertigo	5–13	-0.04	19%	28 Jun →
dust2	13–7	0.05	23%	28 Jun →
cache	6–13	-0.04	8%	27 Jun →
office	8–13	-0.06	14%	27 Jun →
italy	10–13	-0.05	17%	26 Jun →
inferno	0–3	-0.00	0%	26 Jun →
cache	5–13	-0.05	21%	26 Jun →
office	13–4	-0.09	14%	25 Jun →
mirage	14–16	-0.05	18%	25 Jun →
office	13–6	-0.01	20%	25 Jun →
office	13–9	-0.03	11%	23 Jun →
office	13–10	-0.03	25%	21 Jun →
ancient	1–13	-0.05	14%	21 Jun →
nuke	13–7	-0.02	4%	21 Jun →
overpass	8–13	-0.03	9%	21 Jun →
mirage	3–13	-0.07	10%	19 Jun →
inferno	12–12	-0.07	12%	18 Jun →
dust2	6–13	-0.02	18%	18 Jun →
nuke	13–10	-0.01	17%	17 Jun →
office	13–9	0.00	21%	15 Jun →
dust2	11–13	0.04	18%	15 Jun →
dust2	13–11	0.04	7%	14 Jun →
mirage	6–13	0.01	13%	13 Jun →
mirage	13–11	-0.00	13%	12 Jun →
office	13–11	0.03	17%	12 Jun →
ancient	13–5	-0.01	5%	11 Jun →