гиаB — CS2 Stats

US76561198148616904[U:1:188351176]Steam profile ↗✓ No bans

2,012Tracked matches41%Win rate2020Tracked since

4,495Hours in CS3Hrs last 2 wks

CSDB Rating5.1 Developing

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanSilver Elite Master

Ladder ranks via Leetify

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Performance scores

Aim41

Positioning63

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY41–56–3Last 10041%Win rateWLWLLLLWTW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim4.1

Aggression8.7

Utility6.2

Positioning6.3

Opening Duels5.0

Clutch5.4

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 donk 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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. 653ms 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

Aim4.1

Positioning6.3

Utility6.2

Mechanics6.4

Opening Duels5.0

Win Impact2.1

Composite 5.1/10 (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 rating0.00+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.00

Reaction time654ms+23ms

first ⅓ avg 631ms → last ⅓ avg 654ms

Headshot accuracy14.8%+1.1%

first ⅓ avg 13.7% → last ⅓ avg 14.8%

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

0.12Best rating — anubis 13–8

13–1Biggest win — nuke

6Longest win streak

7–9In matches decided by ≤2 rounds

16Overtime games

Map breakdown

infernoBest map · 71% over 7anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	30	11–19	37%	-0.02
nuke	C	22	9–13	41%	0.01
mirage	C	17	7–10	41%	-0.01
anubis	D	9	3–6	33%	0.02
ancient	C	7	3–4	43%	0.02
inferno	S	7	5–2	71%	-0.01
cache	—	4	1–3	25%	-0.03
overpass	—	4	2–2	50%	0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,221Lifetime kills

1.00K/D

4,513Matches

44.9%Match win rate

36.0%Headshot %

12.3%Shot accuracy · Top 50% of tracked players

9,452MVPs

1,885Hours (in match)

3,190Bombs planted

1,420Bombs defused

Most-used weapons

AK-4731,370

M4A4 / M4A1-S17,121

AWP13,399

P2000 / USP-S5,120

Glock-183,911

Desert Eagle3,421

MP92,547

Galil AR2,094

MAC-101,398

FAMAS1,273

Lifetime map wins

7,112dust2

7,056nuke

5,183inferno

2,568vertigo

1,733train

308office

22lake

13cbble

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

Faceit stats

Combat

227Matches

53%Win rate

0.98Avg K/D

76.5ADR

33%Headshot %

Clutches & streaks

47%1v1 clutch win

20%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	13	54%	0.82	12.6
Ancient	11	45%	1.11	18.6
Nuke	7	86%	1.15	17.6
Vertigo	7	71%	1.05	16.4
Anubis	6	50%	1.05	16.2
Overpass	4	75%	1.22	17.5
Inferno	4	75%	1.52	14.8
Dust2	3	100%	1.12	15.3

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.

14.7%Headshot accuracy

32.1%Accuracy (enemy spotted)

30.3%Spray accuracy

78.8%Counter-strafing

12.3°Preaim

653msReaction time

43.4%T opening success

56.6%CT opening success

0.65Enemies flashed / flash

7.4%Flash assists

11.43HE damage / grenade

14.93Flashes / 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.

Advanced Mechanics
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.2664° — above the 12° mark we flag
Aim Training →
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 14.6676% — below the 15% mark we flag
Aim Training →

Spend your practice time on Anubis

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 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–3	0.11	15%	19 Aug →
nuke	11–13	-0.01	16%	17 Aug →
cache	16–12	-0.01	19%	11 Aug →
dust2	9–13	-0.04	16%	1 Aug →
nuke	9–13	0.00	14%	1 Aug →
dust2	9–13	-0.01	16%	18 Jul →
cache	14–16	-0.04	10%	15 Jul →
ancient	13–3	0.09	25%	15 Jul →
anubis	15–15	-0.00	10%	10 Jul →
overpass	13–8	-0.03	17%	3 Jul →
nuke	16–14	0.04	13%	19 Jun →
mirage	5–13	0.06	18%	15 Jun →
nuke	16–12	0.01	14%	14 Jun →
nuke	5–13	0.01	14%	9 Jun →
dust2	8–13	-0.07	9%	9 Jun →
dust2	13–8	-0.02	11%	8 Jun →
nuke	9–13	-0.05	10%	31 May →
dust2	10–13	0.01	21%	31 May →
inferno	13–7	-0.03	11%	27 May →
anubis	8–13	0.04	18%	27 May →
ancient	13–9	0.01	26%	27 May →
mirage	10–13	-0.01	20%	26 May →
nuke	3–13	0.02	9%	26 May →
mirage	16–14	0.02	12%	25 May →
nuke	9–13	-0.01	18%	23 May →
dust2	7–13	-0.04	15%	21 May →
dust2	13–9	-0.02	20%	20 May →
dust2	13–11	-0.03	7%	20 May →
cache	6–13	-0.00	15%	20 May →
dust2	8–13	-0.02	5%	16 May →
anubis	13–8	0.12	12%	16 May →
ancient	11–13	-0.02	17%	11 May →
dust2	13–5	0.01	17%	11 May →
mirage	8–13	-0.01	15%	5 May →
anubis	7–13	0.01	14%	5 May →
overpass	9–13	0.03	14%	4 May →
nuke	6–13	0.01	20%	3 May →
dust2	9–13	-0.09	13%	30 Apr →
nuke	13–6	-0.00	14%	30 Apr →
dust2	7–13	-0.09	13%	30 Apr →
mirage	13–10	-0.01	13%	29 Apr →
nuke	15–15	-0.03	14%	29 Apr →
cache	4–13	-0.08	14%	29 Apr →
mirage	7–13	-0.07	15%	25 Apr →
dust2	11–13	-0.01	11%	23 Apr →
mirage	9–13	-0.03	6%	23 Apr →
mirage	8–13	-0.04	17%	19 Apr →
dust2	10–13	-0.03	14%	19 Apr →
nuke	4–13	-0.01	3%	16 Apr →
dust2	5–13	-0.07	12%	13 Apr →
dust2	13–11	-0.04	13%	12 Apr →
mirage	13–4	0.04	12%	12 Apr →
overpass	13–8	-0.07	20%	11 Apr →
mirage	13–5	-0.01	18%	11 Apr →
nuke	13–1	0.07	17%	7 Apr →
dust2	9–4	-0.08	22%	7 Apr →
inferno	8–13	-0.03	8%	7 Apr →
dust2	8–13	-0.02	7%	6 Apr →
dust2	13–3	-0.03	39%	4 Apr →
nuke	13–11	0.03	17%	4 Apr →
mirage	13–4	0.01	13%	4 Apr →
dust2	14–16	-0.03	8%	4 Apr →
ancient	13–5	0.02	10%	3 Apr →
mirage	9–13	-0.02	16%	2 Apr →
mirage	5–13	-0.04	13%	29 Mar →
ancient	9–13	0.01	23%	29 Mar →
dust2	6–13	0.06	16%	29 Mar →
mirage	4–13	-0.07	11%	29 Mar →
inferno	16–12	0.04	14%	29 Mar →
nuke	13–8	-0.03	19%	29 Mar →
mirage	15–15	-0.01	12%	28 Mar →
nuke	13–7	-0.05	8%	28 Mar →
dust2	5–13	0.03	10%	28 Mar →
dust2	2–13	-0.00	9%	28 Mar →
dust2	13–3	-0.01	16%	28 Mar →
anubis	6–13	0.00	19%	28 Mar →
dust2	9–13	-0.03	9%	27 Mar →
inferno	16–13	-0.00	18%	26 Mar →
anubis	13–7	0.06	18%	24 Mar →
anubis	2–13	-0.05	12%	16 Mar →
dust2	13–11	0.01	18%	15 Mar →
inferno	13–7	0.01	15%	13 Mar →
mirage	13–10	-0.04	8%	9 Mar →
ancient	10–13	0.01	13%	7 Mar →
dust2	13–10	0.11	25%	7 Mar →
nuke	14–16	-0.00	11%	4 Mar →
inferno	13–3	-0.01	7%	1 Mar →
dust2	9–13	-0.04	19%	26 Feb →
overpass	14–16	0.08	14%	25 Feb →
ancient	9–13	0.04	15%	24 Feb →
nuke	13–2	0.07	12%	18 Feb →
nuke	11–13	-0.02	17%	17 Feb →
dust2	16–13	0.01	25%	15 Feb →
mirage	16–14	0.04	13%	14 Feb →
nuke	5–13	-0.01	5%	13 Feb →
anubis	16–12	0.04	11%	13 Feb →
dust2	9–13	-0.04	17%	11 Feb →
anubis	5–13	-0.01	13%	7 Feb →
inferno	11–13	-0.04	11%	7 Feb →
nuke	5–13	-0.03	10%	7 Feb →