Abu Uthmann — CS2 Stats

DK76561199158797565[U:1:1198531837]Steam profile ↗✓ No bans

627Tracked matches53%Win rate2022Tracked since

CSDB Rating4.4 Developing

FaceitLevel 6 · 1,307 ELOTop 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim48

Positioning50

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLWLLLWWLLW

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

Player DNA

Aim4.8

Aggression5.6

Utility4.8

Positioning5.0

Opening Duels1.7

Clutch4.2

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 NiKo 84% playstyle similarity

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

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

Reaction time. 700ms 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

Aim4.8

Positioning5.0

Utility4.8

Mechanics6.4

Opening Duels1.7

Win Impact6.1

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time701ms−42ms

first ⅓ avg 743ms → last ⅓ avg 701ms

Headshot accuracy19.4%+4.4%

first ⅓ avg 15.0% → last ⅓ avg 19.4%

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

0.16Best rating — mirage 13–5

13–0Biggest win — vertigo

8Longest win streak

8–10In matches decided by ≤2 rounds

6Overtime games

Map breakdown

overpassBest map · 67% over 6infernoWeakest map · 29% over 17

Map	Grade	Played	Record	Win rate	Avg rating
vertigo	S	35	23–12	66%	-0.01
cache	C	19	8–11	42%	-0.01
inferno	D	17	5–12	29%	-0.02
nuke	A	7	4–3	57%	-0.02
mirage	D	7	2–5	29%	0.01
overpass	S	6	4–2	67%	0.01
dust2	C	5	2–3	40%	-0.03
train	—	2	0–2	0%	-0.01
anubis	—	1	1–0	100%	-0.07
ancient	—	1	1–0	100%	0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

193Matches

50%Win rate

1.09Avg K/D

80.4ADR

42%Headshot %

Clutches & streaks

41%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	58	40%	1.09	16.1
Inferno	51	55%	1.10	15.8
Dust2	23	52%	1.11	18.3
Vertigo	21	52%	1.19	16.3
Ancient	19	63%	1.03	15.2
Nuke	11	64%	0.97	15.1
Anubis	6	17%	0.81	14.5
Train	2	50%	1.04	24.5

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.

19.2%Headshot accuracy

32.0%Accuracy (enemy spotted)

35.7%Spray accuracy

79.0%Counter-strafing

11.9°Preaim

700msReaction time

36.1%T opening success

37.9%CT opening success

0.49Enemies flashed / flash

3.9%Flash assists

8.36HE damage / grenade

9.24Flashes / 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 0.49 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 36.062% — below the 40% mark we flag

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 17 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	10–13	-0.03	23%	19 Aug →
cache	13–11	-0.04	28%	12 Jul →
cache	11–13	0.01	21%	8 Jul →
cache	10–13	0.12	19%	6 May →
cache	7–13	-0.07	19%	5 May →
cache	13–7	-0.01	43%	5 May →
cache	13–7	0.05	11%	5 May →
cache	11–13	-0.05	14%	4 May →
cache	8–13	-0.02	22%	4 May →
cache	13–7	-0.02	39%	4 May →
cache	13–7	-0.00	9%	3 May →
cache	5–13	-0.00	19%	3 May →
cache	1–4	0.04	63%	3 May →
cache	13–2	0.06	24%	3 May →
cache	5–11	-0.01	22%	2 May →
cache	11–13	-0.07	23%	1 May →
cache	13–5	-0.02	14%	30 Apr →
cache	13–7	0.00	24%	30 Apr →
cache	7–13	-0.06	5%	29 Apr →
vertigo	13–6	-0.02	12%	4 Apr →
anubis	16–14	-0.07	14%	26 Mar →
dust2	13–4	-0.06	22%	25 Mar →
vertigo	13–8	-0.01	8%	25 Mar →
vertigo	6–13	0.01	14%	18 Mar →
vertigo	10–13	-0.02	16%	18 Mar →
vertigo	13–9	-0.07	11%	15 Mar →
vertigo	13–9	-0.06	28%	15 Mar →
vertigo	13–11	-0.01	18%	15 Mar →
vertigo	5–13	-0.09	6%	15 Mar →
vertigo	13–9	0.01	22%	6 Mar →
vertigo	8–13	-0.04	9%	21 Feb →
vertigo	13–4	0.03	10%	21 Feb →
vertigo	13–11	-0.01	12%	20 Feb →
vertigo	8–13	-0.04	10%	20 Feb →
vertigo	13–9	0.11	12%	19 Feb →
vertigo	13–5	-0.01	13%	19 Feb →
vertigo	13–7	-0.03	22%	19 Feb →
vertigo	5–13	-0.03	29%	19 Feb →
vertigo	13–5	0.02	11%	18 Feb →
vertigo	9–4	-0.03	27%	18 Feb →
vertigo	13–4	0.02	13%	17 Feb →
vertigo	13–0	0.08	6%	16 Feb →
vertigo	5–0	0.03	14%	16 Feb →
vertigo	13–5	0.13	16%	16 Feb →
vertigo	13–11	-0.03	17%	16 Feb →
vertigo	13–3	0.01	7%	16 Feb →
vertigo	10–13	-0.02	9%	15 Feb →
vertigo	13–5	0.02	23%	14 Feb →
vertigo	13–4	-0.01	21%	14 Feb →
vertigo	12–12	-0.03	15%	14 Feb →
vertigo	13–3	-0.01	10%	14 Feb →
vertigo	11–13	-0.03	11%	14 Feb →
vertigo	12–12	-0.05	17%	14 Feb →
inferno	1–13	-0.02	30%	4 Feb →
inferno	6–13	0.03	22%	3 Feb →
nuke	13–5	-0.01	17%	3 Feb →
mirage	0–13	-0.06	25%	29 Jan →
inferno	13–7	0.08	11%	29 Jan →
ancient	13–5	0.00	42%	29 Jan →
overpass	13–7	0.12	16%	28 Jan →
mirage	13–5	0.16	18%	23 Jan →
inferno	13–0	-0.00	10%	23 Jan →
inferno	4–13	-0.03	18%	22 Jan →
vertigo	3–10	-0.07	38%	20 Jan →
inferno	13–9	0.04	14%	18 Jan →
overpass	6–13	-0.02	21%	18 Jan →
dust2	11–13	-0.06	14%	17 Jan →
inferno	4–13	0.00	20%	17 Jan →
inferno	13–8	0.01	9%	17 Jan →
nuke	16–14	0.03	14%	16 Jan →
inferno	11–13	-0.03	17%	14 Jan →
nuke	11–13	-0.01	9%	12 Jan →
inferno	6–13	-0.07	8%	12 Jan →
inferno	11–13	-0.06	12%	12 Jan →
overpass	13–10	0.00	18%	11 Jan →
inferno	11–13	-0.07	16%	11 Jan →
nuke	3–13	-0.06	17%	11 Jan →
inferno	12–16	-0.07	9%	8 Jan →
nuke	13–4	-0.06	11%	8 Jan →
inferno	5–13	-0.05	13%	8 Jan →
inferno	13–9	0.04	10%	7 Jan →
nuke	16–12	-0.03	22%	7 Jan →
inferno	1–13	-0.07	6%	4 Jan →
nuke	15–15	0.02	8%	4 Jan →
train	10–13	-0.08	4%	4 Jan →
mirage	13–11	0.04	19%	3 Jan →
overpass	12–12	-0.06	8%	2 Jan →
overpass	13–2	-0.04	33%	1 Jan →
vertigo	8–13	0.00	12%	1 Jan →
vertigo	13–11	-0.03	17%	1 Jan →
overpass	13–4	0.04	22%	1 Jan →
mirage	2–13	-0.03	18%	11 Sept →
inferno	13–16	-0.03	14%	21 Apr →
train	11–13	0.06	20%	4 Apr →
dust2	3–13	-0.02	23%	4 Mar →
mirage	7–13	-0.01	12%	4 Mar →
dust2	13–5	-0.00	28%	4 Mar →
dust2	7–13	-0.02	10%	4 Mar →
mirage	8–13	-0.02	11%	27 Feb →
mirage	5–13	0.02	27%	27 Feb →