Dah Fih Gah — CS2 Stats

76561198330832865[U:1:370567137]Steam profile ↗✓ No bans

1,613Tracked matches50%Win rate2023Tracked since

CSDB Rating4.3 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim33

Positioning56

Utility22

0–100 skill scores via Leetify.

Recent form

STEADY48–44–8Last 10048%Win rateWWWWWLLLLL

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

Aim3.3

Aggression7.3

Utility2.2

Positioning5.6

Opening Duels4.1

Clutch3.6

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 ropz 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

T-side openings. Opening success drops from 56% on CT to 37% 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

Aim3.3

Positioning5.6

Utility2.2

Mechanics6.4

Opening Duels4.1

Win Impact5.0

Composite 4.3/10 (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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time700ms+12ms

first ⅓ avg 688ms → last ⅓ avg 700ms

Headshot accuracy8.2%−2.4%

first ⅓ avg 10.6% → last ⅓ avg 8.2%

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

0.23Best rating — nuke 9–0

13–2Biggest win — mirage

5Longest win streak

W5Current streak

9–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 75% over 12dust2Weakest map · 32% over 22

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	22	7–15	32%	0.01
mirage	B	20	10–10	50%	-0.00
nuke	S	12	9–3	75%	0.04
ancient	A	11	6–5	55%	-0.01
anubis	C	11	4–7	36%	-0.02
cache	A	11	6–5	55%	0.02
inferno	C	7	3–4	43%	-0.02
overpass	—	3	2–1	67%	0.02
vertigo	—	2	1–1	50%	0.05
debris	—	1	0–1	0%	0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

18Matches

39%Win rate

0.75Avg K/D

69.6ADR

29%Headshot %

Clutches & streaks

38%1v1 clutch win

33%1v2 clutch win

2Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	6	17%	0.58	9.0
Mirage	4	50%	0.90	15.0
Nuke	3	67%	0.84	14.0
Inferno	2	50%	0.68	12.0
Anubis	1	0%	0.35	6.0
Overpass	1	100%	1.40	14.0
Ancient	1	0%	0.75	12.0

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.

8.5%Headshot accuracy

33.6%Accuracy (enemy spotted)

38.7%Spray accuracy

78.7%Counter-strafing

13.4°Preaim

704msReaction time

37.1%T opening success

56.1%CT opening success

0.42Enemies flashed / flash

0.0%Flash assists

13.00HE damage / grenade

0.82Flashes / 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 13.3663° — 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 8.4899% — 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 703.942ms — above the 700ms mark we flag
Aim Training →

Spend your practice time on Dust 2

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

32% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	16–13	-0.01	3%	30 Jul →
mirage	13–11	0.01	8%	30 Jul →
ancient	13–7	0.03	8%	30 Jul →
nuke	13–8	0.07	7%	30 Jul →
mirage	13–11	-0.05	16%	30 Jul →
inferno	7–9	-0.00	13%	30 Jul →
debris	7–9	0.10	3%	30 Jul →
inferno	1–13	-0.02	12%	27 Jul →
dust2	2–13	-0.06	7%	27 Jul →
nuke	5–13	0.06	7%	10 Jul →
mirage	1–13	-0.04	3%	10 Jul →
dust2	10–13	-0.02	14%	5 Jul →
anubis	5–13	-0.06	7%	2 Jul →
mirage	13–10	0.06	7%	2 Jul →
dust2	15–15	0.04	11%	26 Jun →
ancient	13–8	0.01	8%	26 Jun →
dust2	15–15	-0.00	9%	26 Jun →
mirage	13–10	-0.04	4%	26 Jun →
anubis	11–13	-0.06	7%	26 Jun →
mirage	9–13	-0.07	6%	24 Jun →
overpass	11–13	-0.01	11%	24 Jun →
nuke	15–15	-0.01	12%	23 Jun →
mirage	15–15	-0.00	11%	19 Jun →
anubis	9–13	0.01	9%	19 Jun →
nuke	6–13	0.05	8%	19 Jun →
dust2	6–13	-0.02	13%	19 Jun →
overpass	13–5	0.02	11%	12 Jun →
mirage	7–0	0.09	3%	12 Jun →
ancient	13–3	0.03	4%	12 Jun →
dust2	8–13	0.09	9%	12 Jun →
anubis	13–11	0.04	7%	12 Jun →
dust2	13–6	0.07	4%	12 Jun →
mirage	4–13	-0.08	7%	9 Jun →
ancient	4–13	-0.07	6%	9 Jun →
mirage	7–13	-0.07	7%	9 Jun →
dust2	13–10	-0.01	23%	8 Jun →
anubis	9–13	0.01	18%	8 Jun →
dust2	2–13	-0.07	19%	28 May →
nuke	13–10	0.03	6%	27 May →
ancient	5–13	-0.03	9%	27 May →
dust2	13–10	-0.02	12%	27 May →
mirage	13–10	0.07	9%	27 May →
anubis	7–13	-0.02	18%	26 May →
mirage	8–13	-0.06	4%	26 May →
dust2	11–13	-0.05	13%	26 May →
dust2	12–12	0.10	21%	24 May →
vertigo	12–12	0.08	9%	24 May →
nuke	9–0	0.23	17%	24 May →
nuke	16–13	0.03	11%	23 May →
mirage	10–13	0.08	7%	23 May →
nuke	13–4	-0.00	4%	20 May →
dust2	13–11	0.03	8%	20 May →
cache	13–10	0.05	10%	18 May →
inferno	7–13	-0.08	5%	15 May →
anubis	13–7	-0.03	7%	15 May →
nuke	13–9	-0.04	4%	15 May →
inferno	13–8	-0.07	14%	15 May →
mirage	10–13	-0.00	8%	15 May →
dust2	13–10	-0.01	9%	15 May →
vertigo	13–6	0.03	6%	14 May →
anubis	8–13	-0.07	11%	13 May →
cache	13–9	0.06	2%	13 May →
anubis	13–6	0.00	8%	12 May →
dust2	13–6	-0.00	14%	12 May →
dust2	6–13	-0.04	13%	12 May →
ancient	7–13	-0.04	10%	12 May →
inferno	13–10	0.01	8%	12 May →
mirage	13–6	-0.02	5%	12 May →
anubis	4–13	-0.06	7%	11 May →
ancient	13–11	-0.01	9%	11 May →
nuke	13–5	0.06	13%	11 May →
ancient	13–5	0.05	10%	11 May →
dust2	16–12	0.03	7%	11 May →
cache	9–13	0.00	10%	11 May →
ancient	2–13	-0.10	9%	9 May →
mirage	13–2	0.03	9%	9 May →
inferno	10–13	0.02	13%	8 May →
overpass	9–5	0.05	13%	8 May →
mirage	13–7	0.00	11%	7 May →
ancient	16–14	0.02	12%	7 May →
inferno	13–11	0.05	13%	6 May →
mirage	4–13	0.03	8%	3 May →
anubis	13–11	0.05	12%	3 May →
cache	6–13	0.01	20%	3 May →
ancient	3–13	-0.00	9%	30 Apr →
cache	13–10	0.07	12%	30 Apr →
cache	13–7	0.04	7%	29 Apr →
cache	13–11	0.02	10%	29 Apr →
cache	10–13	-0.03	14%	29 Apr →
cache	7–13	-0.08	10%	29 Apr →
dust2	4–13	-0.04	15%	29 Apr →
cache	3–13	-0.05	10%	29 Apr →
cache	13–4	0.09	12%	29 Apr →
mirage	11–13	-0.01	10%	28 Apr →
dust2	6–13	0.03	8%	28 Apr →
nuke	13–8	0.01	4%	28 Apr →
dust2	10–13	0.05	7%	28 Apr →
nuke	13–10	0.04	5%	28 Apr →
dust2	12–12	0.03	12%	28 Apr →
dust2	12–12	0.02	20%	27 Apr →