AWPer | Garec — CS2 Stats

US76561198097949755[U:1:137684027]Steam profile ↗✓ No bans

4,434Tracked matches57%Win rate2020Tracked since

8,715Hours in CS13Hrs last 2 wks

CSDB Rating7.6 StrongEntry Fragger

Premier CS Rating25,367Top 25% of 819 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)

CSDB Leaderboard#1678 of 11814 tracked

FaceitLevel 10 · 2,154 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	61.4%	52.8%
Shot accuracy	20.0%	13.7%
Kill/death ratio	2.61	1.08
Match win rate	38.9%	49.2%

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Performance scores

Aim91

Positioning67

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateWLLLWLLWWW

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim9.1

Aggression10.0

Utility3.9

Positioning6.7

Opening Duels6.1

Clutch3.2

Sharp aimerStrong CT-side opener

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 sh1ro 91% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 64% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.1

Positioning6.7

Utility3.9

Mechanics8.3

Opening Duels6.1

Win Impact7.2

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time518ms−39ms

first ⅓ avg 558ms → last ⅓ avg 518ms

Headshot accuracy20.3%−3.7%

first ⅓ avg 23.9% → last ⅓ avg 20.3%

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

0.25Best rating — cache 13–3

13–0Biggest win — dust2

7Longest win streak

10–9In matches decided by ≤2 rounds

14Overtime games

Map breakdown

mirageBest map · 69% over 26infernoWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	26	18–8	69%	0.04
dust2	B	19	10–9	53%	0.00
inferno	C	15	6–9	40%	0.01
cache	A	12	7–5	58%	0.06
anubis	A	11	6–5	55%	0.02
overpass	C	7	3–4	43%	0.03
ancient	C	5	2–3	40%	0.03
nuke	—	3	2–1	67%	0.05
vertigo	—	1	1–0	100%	0.05
train	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

612,188Lifetime kills

2.61K/D · Top 1% of Level 10 players

11,381Matches

38.9%Match win rate

61.4%Headshot % · Top 25% of Level 10 players

20.0%Shot accuracy · Top 5% of Level 10 players

25,357MVPs

5,452Hours (in match)

12,013Bombs planted

2,715Bombs defused

Most-used weapons

AK-47330,187

AWP76,139

M4A4 / M4A1-S49,568

P2000 / USP-S44,658

Desert Eagle44,245

P2508,959

Glock-188,905

Knife5,330

Galil AR4,627

MAC-104,504

Lifetime map wins

20,014inferno

11,781dust2

4,117vertigo

2,909nuke

2,757train

1,587cbble

475office

246lake

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

Faceit stats

Combat

4,744Matches

50%Win rate

1.18Avg K/D

78.7ADR

38%Headshot %

Clutches & streaks

36%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	357	50%	1.15	16.4
Anubis	188	48%	1.15	16.5
Inferno	174	53%	1.18	16.7
Ancient	155	48%	1.07	16.0
Dust2	93	48%	1.02	15.6
Vertigo	91	46%	1.08	16.3
Overpass	49	49%	1.10	17.6
Nuke	49	43%	1.06	15.8

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.

20.6%Headshot accuracy

39.4%Accuracy (enemy spotted)

40.3%Spray accuracy

87.2%Counter-strafing

7.8°Preaim

523msReaction time

44.1%T opening success

64.5%CT opening success

0.41Enemies flashed / flash

1.5%Flash assists

7.24HE damage / grenade

5.49Flashes / 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.

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 0.4057 — 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.

40% win rate across 15 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
dust2	13–7	-0.03	18%	24 Aug →
dust2	6–13	0.01	13%	24 Aug →
ancient	7–13	-0.07	17%	24 Aug →
mirage	11–13	-0.03	14%	22 Aug →
mirage	13–11	0.04	19%	21 Aug →
anubis	3–13	0.02	20%	21 Aug →
ancient	13–16	0.04	19%	20 Aug →
nuke	13–8	0.09	21%	20 Aug →
ancient	13–5	0.11	12%	17 Aug →
mirage	13–3	0.07	17%	17 Aug →
ancient	13–8	0.03	24%	15 Aug →
dust2	6–13	-0.04	18%	14 Aug →
mirage	10–13	-0.03	34%	10 Aug →
nuke	7–13	-0.02	25%	10 Aug →
cache	9–13	-0.07	11%	7 Aug →
anubis	11–13	0.01	17%	1 Aug →
dust2	9–13	-0.04	22%	1 Aug →
mirage	13–9	0.07	26%	31 Jul →
cache	13–3	0.18	38%	31 Jul →
mirage	13–4	0.02	10%	31 Jul →
inferno	13–6	0.04	37%	30 Jul →
dust2	13–10	0.04	35%	25 Jul →
mirage	13–4	0.13	17%	25 Jul →
cache	5–13	0.03	13%	25 Jul →
cache	13–5	0.12	16%	24 Jul →
inferno	13–6	0.05	13%	24 Jul →
mirage	13–9	0.06	25%	22 Jul →
inferno	9–13	0.02	30%	20 Jul →
mirage	13–7	0.03	15%	18 Jul →
cache	13–9	0.05	21%	18 Jul →
mirage	4–13	0.04	23%	1 Jul →
inferno	9–13	-0.07	16%	29 Jun →
mirage	13–7	0.07	15%	23 Jun →
dust2	16–14	-0.00	22%	14 Jun →
dust2	11–13	0.00	30%	12 Jun →
inferno	11–13	0.01	18%	9 Jun →
dust2	13–0	0.00	0%	9 Jun →
mirage	13–7	0.01	18%	8 Jun →
anubis	13–9	0.03	25%	7 Jun →
inferno	14–16	-0.00	13%	1 Jun →
mirage	5–13	-0.02	9%	30 May →
inferno	7–13	0.04	13%	27 May →
cache	6–13	-0.01	9%	27 May →
cache	13–3	0.25	23%	24 May →
mirage	5–13	0.05	17%	24 May →
vertigo	13–7	0.05	15%	24 May →
dust2	10–13	0.03	32%	21 May →
dust2	13–7	-0.03	9%	15 May →
anubis	13–7	0.01	22%	15 May →
mirage	13–1	0.14	15%	11 May →
cache	13–8	0.02	10%	10 May →
mirage	16–12	-0.00	19%	10 May →
ancient	13–16	0.04	21%	8 May →
cache	11–13	-0.02	22%	7 May →
cache	4–13	-0.05	20%	5 May →
anubis	13–4	0.07	14%	2 May →
inferno	16–13	-0.01	11%	2 May →
overpass	16–14	0.03	21%	30 Apr →
inferno	16–14	0.02	15%	29 Apr →
mirage	13–0	0.12	23%	26 Apr →
cache	13–1	0.20	11%	24 Apr →
cache	13–5	0.02	24%	24 Apr →
anubis	11–13	0.02	38%	21 Apr →
anubis	13–8	0.04	29%	21 Apr →
mirage	10–13	0.02	16%	19 Apr →
anubis	7–13	-0.04	26%	18 Apr →
dust2	13–9	0.01	9%	18 Apr →
mirage	16–13	0.01	17%	18 Apr →
dust2	19–22	-0.01	12%	12 Apr →
anubis	13–2	0.05	14%	8 Apr →
mirage	13–9	0.05	30%	5 Apr →
inferno	7–13	0.07	43%	15 Mar →
mirage	16–14	-0.00	45%	15 Mar →
overpass	13–2	0.23	13%	15 Mar →
dust2	8–13	-0.02	31%	15 Mar →
dust2	13–10	0.02	23%	12 Mar →
overpass	3–13	-0.03	29%	7 Mar →
mirage	13–4	0.01	12%	7 Mar →
anubis	16–14	0.00	24%	1 Feb →
overpass	13–10	0.02	23%	17 Jan →
mirage	9–13	-0.01	22%	4 Jan →
mirage	15–19	0.03	26%	30 Dec →
dust2	7–13	0.11	11%	27 Dec →
overpass	8–13	0.03	27%	27 Dec →
inferno	13–10	0.03	28%	26 Dec →
dust2	11–13	-0.00	27%	26 Dec →
inferno	8–13	0.05	32%	18 Dec →
train	11–13	0.02	19%	11 Dec →
anubis	8–13	-0.03	18%	10 Dec →
dust2	13–3	0.00	21%	10 Dec →
overpass	6–13	-0.01	26%	2 Dec →
mirage	13–11	0.02	16%	2 Dec →
mirage	13–5	0.09	25%	26 Nov →
inferno	13–11	-0.01	36%	24 Nov →
dust2	7–5	0.05	29%	12 Nov →
overpass	1–13	-0.08	26%	11 Oct →
inferno	10–13	-0.06	23%	7 Oct →
inferno	3–13	-0.02	22%	2 Oct →
dust2	16–13	-0.01	19%	30 Sept →
nuke	13–11	0.07	24%	25 Sept →