fael シ — CS2 Stats

76561198134705352[U:1:174439624]

2,812Tracked matches72%Win rate2020Tracked since

6,696Hours in CS39Hrs last 2 wks

CSDB Rating7.8 StrongAggressive Rifler

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim85

Positioning70

Utility65

0–100 skill scores via Leetify.

Recent form

HOT61–34–5Last 10061%Win rateWTLWLWWWWW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.5

Aggression9.6

Utility6.5

Positioning7.0

Opening Duels5.0

Clutch5.0

Sharp aimerExcellent counter-strafing

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 96% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Reaction time. 636ms 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

Aim8.5

Positioning7.0

Utility6.5

Mechanics9.2

Opening Duels5.0

Win Impact10.0

Composite 7.8/10 (Strong), 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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time638ms−31ms

first ⅓ avg 669ms → last ⅓ avg 638ms

Headshot accuracy20.3%−0.5%

first ⅓ avg 20.8% → 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

0.15Best rating — mirage 13–3

13–1Biggest win — nuke

5Longest win streak

9–11In matches decided by ≤2 rounds

4Overtime games

Map breakdown

mirageBest map · 78% over 18infernoWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	24	16–8	67%	0.01
cache	B	20	10–10	50%	0.02
mirage	S	18	14–4	78%	0.02
anubis	A	11	7–4	64%	0.03
ancient	B	8	4–4	50%	0.02
inferno	D	7	2–5	29%	0.01
nuke	S	6	4–2	67%	0.02
overpass	—	3	3–0	100%	0.06
train	—	1	1–0	100%	-0.00
office	—	1	0–1	0%	0.07
vertigo	—	1	0–1	0%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

273,234Lifetime kills

0.88K/D

7,775Matches

51.5%Match win rate · Top 25% of tracked players

58.7%Headshot % · Top 25% of tracked players

19.2%Shot accuracy · Top 5% of tracked players

22,410MVPs

5,073Hours (in match)

7,325Bombs planted

2,452Bombs defused

Most-used weapons

AK-47128,627

M4A4 / M4A1-S54,332

AWP20,327

P2000 / USP-S14,990

Desert Eagle14,194

SG 5535,325

Glock-184,971

P2503,768

Knife3,423

UMP-452,533

Lifetime map wins

11,715inferno

10,493dust2

4,519train

3,880cbble

2,832nuke

1,561vertigo

105office

97lake

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

Faceit stats

Combat

907Matches

69%Win rate

1.22Avg K/D

85.0ADR

50%Headshot %

Clutches & streaks

45%1v1 clutch win

25%1v2 clutch win

24Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	135	76%	1.30	16.1
Dust2	97	80%	1.25	15.5
Anubis	53	77%	1.21	15.5
Ancient	51	78%	1.16	14.7
Nuke	45	82%	1.16	15.6
Inferno	40	78%	1.32	17.0
Cache	19	84%	1.65	15.8
Overpass	15	60%	1.06	16.2

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.

20.8%Headshot accuracy

39.9%Accuracy (enemy spotted)

41.7%Spray accuracy

91.5%Counter-strafing

9.5°Preaim

636msReaction time

43.7%T opening success

56.7%CT opening success

0.61Enemies flashed / flash

12.3%Flash assists

7.98HE damage / grenade

10.45Flashes / match

Recommended for you

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.

29% 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
cache	13–6	0.02	15%	28 Aug →
cache	12–12	-0.05	19%	26 Aug →
inferno	5–13	-0.06	21%	20 Aug →
mirage	13–7	0.06	23%	15 Aug →
inferno	11–13	0.03	19%	7 Aug →
dust2	13–9	0.10	14%	6 Aug →
dust2	13–10	-0.08	18%	5 Aug →
anubis	13–6	0.02	21%	23 Jul →
nuke	13–1	0.04	29%	22 Jul →
cache	13–4	0.07	26%	21 Jul →
anubis	7–13	-0.02	16%	20 Jul →
dust2	1–7	-0.09	13%	20 Jul →
mirage	13–7	-0.02	26%	18 Jul →
dust2	13–3	0.12	35%	17 Jul →
mirage	13–3	-0.02	11%	16 Jul →
mirage	13–9	0.01	20%	13 Jul →
anubis	4–13	-0.01	23%	12 Jul →
mirage	13–7	0.09	26%	12 Jul →
ancient	13–9	0.02	25%	11 Jul →
anubis	13–8	0.07	31%	11 Jul →
cache	10–13	0.10	19%	9 Jul →
cache	13–3	-0.01	21%	9 Jul →
cache	13–6	0.06	19%	4 Jul →
cache	11–10	0.12	23%	2 Jul →
dust2	6–13	0.01	16%	1 Jul →
nuke	13–5	0.10	14%	1 Jul →
mirage	16–13	0.01	26%	27 Jun →
cache	13–4	0.06	15%	20 Jun →
train	13–10	-0.00	20%	20 Jun →
mirage	13–11	0.04	16%	14 Jun →
dust2	10–13	-0.02	23%	10 Jun →
inferno	9–9	-0.08	4%	6 Jun →
anubis	13–7	0.02	22%	1 Jun →
cache	13–3	0.03	20%	27 May →
ancient	3–13	0.01	24%	24 May →
mirage	13–3	0.15	19%	20 May →
cache	12–12	-0.04	26%	19 May →
cache	12–12	0.01	16%	16 May →
cache	9–13	-0.02	22%	16 May →
cache	13–5	0.03	21%	6 May →
cache	11–13	0.01	22%	3 May →
cache	13–8	-0.02	8%	1 May →
inferno	13–4	0.03	24%	1 May →
cache	1–13	-0.08	19%	1 May →
anubis	13–11	0.11	23%	29 Apr →
cache	9–13	-0.03	19%	29 Apr →
cache	3–12	0.07	28%	29 Apr →
cache	13–5	-0.02	16%	28 Apr →
cache	13–4	-0.04	15%	28 Apr →
nuke	11–13	-0.00	34%	25 Apr →
dust2	6–13	0.00	31%	25 Apr →
dust2	13–5	0.01	20%	22 Apr →
ancient	10–13	0.08	19%	19 Apr →
ancient	8–13	-0.03	24%	15 Apr →
anubis	14–16	-0.03	20%	12 Apr →
dust2	11–13	-0.06	5%	8 Apr →
mirage	11–13	-0.04	19%	8 Apr →
dust2	13–10	-0.05	33%	6 Apr →
dust2	13–7	0.02	17%	6 Apr →
mirage	12–12	0.03	21%	4 Apr →
dust2	13–11	-0.01	13%	1 Apr →
office	11–13	0.07	17%	28 Mar →
dust2	13–10	0.02	30%	26 Mar →
mirage	13–11	0.06	11%	25 Mar →
mirage	13–7	0.05	22%	25 Mar →
ancient	11–13	0.05	18%	24 Mar →
dust2	13–5	0.04	20%	24 Mar →
ancient	13–10	-0.00	14%	23 Mar →
dust2	3–13	-0.06	18%	23 Mar →
dust2	13–11	0.03	30%	18 Mar →
nuke	16–14	0.07	22%	15 Mar →
mirage	13–10	-0.01	29%	14 Mar →
dust2	13–5	0.09	19%	12 Mar →
inferno	8–8	0.06	14%	10 Mar →
mirage	13–5	0.02	23%	4 Mar →
nuke	13–6	0.00	16%	4 Mar →
dust2	13–7	0.06	18%	25 Feb →
mirage	5–13	-0.07	17%	24 Feb →
inferno	13–5	0.07	13%	18 Feb →
dust2	16–14	0.01	13%	17 Feb →
ancient	13–8	-0.03	13%	17 Feb →
anubis	13–11	0.04	16%	17 Feb →
dust2	13–2	0.04	8%	15 Feb →
anubis	6–13	0.03	18%	13 Feb →
dust2	8–13	-0.03	20%	12 Feb →
vertigo	6–13	0.06	25%	12 Feb →
dust2	13–5	0.03	32%	11 Feb →
mirage	13–5	-0.03	20%	7 Feb →
dust2	13–5	0.05	33%	5 Feb →
anubis	13–5	0.06	22%	1 Feb →
mirage	13–10	0.04	18%	31 Jan →
nuke	6–13	-0.09	23%	31 Jan →
overpass	12–5	0.06	39%	31 Jan →
ancient	13–4	0.05	25%	25 Jan →
overpass	13–11	0.05	17%	25 Jan →
overpass	13–6	0.07	9%	25 Jan →
dust2	11–13	0.01	22%	25 Jan →
anubis	13–5	0.05	35%	21 Jan →
mirage	10–13	0.07	29%	21 Jan →
inferno	9–13	0.01	18%	5 Jan →