ERSIN — CS2 Stats

PROaimclubRomaniaIGLSettings & gear profile →

76561198028290316[U:1:68024588]Steam profile ↗✓ No bans

2,020Tracked matches57%Win rate2020Tracked since

CSDB Rating7.6 StrongPositional Player

WingmanThe Global Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

+21Tracked matches · now 2,020

−3.3ppWin rate · 60.0% → 56.7%

Rating over time

31Days played since 2026-03-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim92

Positioning74

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50–48–2Last 10050%Win rateWLLLLWWWLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · +2.3pp headshot accuracy · +69ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.04
Avg headshot accuracy 21%
Avg reaction 542ms

Last 10

5–5 · 50% win rate
Avg rating -0.00
Avg headshot accuracy 22%
Avg reaction 502ms

Last 20

9–11 · 45% win rate
Avg rating -0.00
Avg headshot accuracy 21%
Avg reaction 467ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim9.2

Utility6.3

Positioning7.4

Opening Duels4.7

Clutch4.4

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like iM 94% playstyle similarity

Most alike: aim profile, opening-duel success.

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 92 — the mechanical foundation is a clear strength.

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

Aim9.2

Positioning7.4

Utility6.3

Mechanics7.1

Opening Duels6.7

Win Impact7.2

Composite 7.6/10 (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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time467ms−76ms

first ⅓ avg 543ms → last ⅓ avg 467ms

Headshot accuracy21.5%−3.7%

first ⅓ avg 25.2% → last ⅓ avg 21.5%

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.

Personal bests

0.17Best match rating · 13–2 · anubis, 7 Apr →

45%Best headshot accuracy · 13–8 · mirage, 24 Apr →

297msFastest reaction time · 2–13 · anubis, 25 Sept →

13–1Biggest win · mirage, 1 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

6–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 70% over 10dust2Weakest map · 37% over 19

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	20	12–8	60%	-0.00
mirage	B	20	10–10	50%	-0.01
dust2	C	19	7–12	37%	0.00
ancient	B	14	7–7	50%	0.02
anubis	S	10	7–3	70%	0.05
cache	A	7	4–3	57%	0.00
nuke	C	5	2–3	40%	-0.01
overpass	—	3	1–2	33%	-0.04
vertigo	—	2	0–2	0%	0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,808Matches

59%Win rate

1.27Avg K/D

86.0ADR

54%Headshot %

Clutches & streaks

42%1v1 clutch win

26%1v2 clutch win

16Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	221	57%	1.25	16.4
Ancient	189	58%	1.27	16.9
Anubis	170	61%	1.25	17.6
Dust2	145	57%	1.28	16.9
Inferno	79	68%	1.35	16.6
Vertigo	59	59%	1.27	17.9
Nuke	50	60%	1.22	16.0
Overpass	21	52%	1.18	16.6

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$3,245Inventory value184ItemsFull inventory breakdown →

$1,770

$683

$147

$70

$52

$49

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

21.1%Headshot accuracy

39.7%Accuracy (enemy spotted)

42.8%Spray accuracy

82.1%Counter-strafing

8.6°Preaim

471msReaction time

59.0%T opening success

54.4%CT opening success

0.57Enemies flashed / flash

12.4%Flash assists

8.63HE damage / grenade

9.64Flashes / match

Recommended for you

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.

37% win rate across 19 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
dust2	13–4	0.00	22%	3 Oct →
inferno	1–13	-0.10	28%	3 Oct →
cache	13–16	-0.03	25%	3 Oct →
dust2	5–13	-0.03	15%	2 Oct →
cache	4–13	-0.04	17%	2 Oct →
mirage	13–1	0.08	13%	1 Oct →
dust2	13–10	0.03	37%	1 Oct →
inferno	13–3	0.08	30%	1 Oct →
inferno	3–13	-0.07	26%	1 Oct →
inferno	13–5	0.05	14%	1 Oct →
mirage	6–13	-0.04	18%	27 Sept →
anubis	13–16	0.03	24%	27 Sept →
ancient	7–13	-0.05	28%	26 Sept →
mirage	6–13	0.05	24%	26 Sept →
inferno	13–7	0.02	36%	26 Sept →
dust2	9–13	-0.07	10%	25 Sept →
mirage	13–6	0.05	15%	25 Sept →
anubis	13–9	0.04	14%	25 Sept →
anubis	2–13	-0.03	21%	25 Sept →
cache	16–13	-0.02	13%	25 Sept →
mirage	13–9	0.05	19%	25 Sept →
ancient	13–8	0.01	26%	24 Sept →
mirage	13–5	-0.05	25%	24 Sept →
anubis	19–15	0.07	19%	23 Sept →
inferno	12–6	0.04	25%	23 Sept →
dust2	8–13	-0.03	17%	23 Sept →
mirage	16–12	0.00	0%	23 Sept →
ancient	1–13	-0.03	16%	23 Sept →
anubis	13–6	0.04	22%	23 Sept →
inferno	13–9	0.05	19%	23 Sept →
ancient	13–10	0.07	25%	18 Sept →
mirage	7–13	-0.02	36%	15 Sept →
cache	5–13	-0.03	35%	15 Sept →
anubis	13–6	0.10	23%	15 Sept →
ancient	13–6	0.04	39%	13 Sept →
cache	13–5	0.09	30%	13 Sept →
dust2	4–13	-0.06	18%	13 Sept →
ancient	9–13	0.01	29%	4 Sept →
inferno	13–4	0.03	25%	21 Aug →
dust2	11–13	-0.04	20%	2 Aug →
ancient	10–13	-0.04	14%	2 Aug →
dust2	6–13	0.02	38%	1 Aug →
cache	13–7	-0.01	36%	1 Aug →
mirage	16–14	-0.04	25%	1 Aug →
ancient	11–13	-0.04	22%	30 Jul →
mirage	13–11	0.02	22%	30 Jul →
dust2	13–4	0.06	42%	30 Jul →
ancient	13–11	0.15	28%	19 Jul →
nuke	5–13	-0.04	18%	13 Jun →
mirage	6–13	-0.09	16%	13 Jun →
dust2	13–6	-0.01	20%	13 Jun →
nuke	5–13	-0.04	18%	13 Jun →
mirage	6–13	-0.09	16%	13 Jun →
dust2	13–6	-0.01	20%	13 Jun →
inferno	13–9	-0.03	28%	13 Jun →
nuke	13–5	-0.01	14%	13 Jun →
inferno	13–9	-0.03	28%	13 Jun →
nuke	13–5	-0.01	14%	13 Jun →
dust2	10–13	0.06	29%	13 Jun →
mirage	11–13	-0.09	20%	13 Jun →
mirage	11–13	-0.09	20%	13 Jun →
dust2	10–13	0.06	29%	13 Jun →
inferno	13–9	0.00	18%	13 Jun →
ancient	13–10	0.06	34%	13 Jun →
inferno	13–9	0.00	18%	13 Jun →
ancient	13–10	0.06	34%	13 Jun →
mirage	13–11	0.07	27%	7 May →
cache	13–11	0.06	19%	29 Apr →
mirage	8–13	-0.03	22%	26 Apr →
inferno	13–5	0.06	25%	26 Apr →
ancient	11–13	-0.02	31%	26 Apr →
inferno	4–13	-0.05	27%	25 Apr →
dust2	8–13	0.04	31%	25 Apr →
ancient	10–13	0.08	23%	25 Apr →
overpass	11–13	-0.02	29%	25 Apr →
inferno	8–13	-0.08	12%	24 Apr →
mirage	13–8	-0.01	45%	24 Apr →
dust2	16–13	0.03	42%	24 Apr →
inferno	6–13	-0.02	24%	23 Apr →
dust2	9–13	-0.02	29%	23 Apr →
anubis	22–19	-0.02	20%	22 Apr →
ancient	13–4	-0.02	14%	22 Apr →
dust2	10–13	-0.00	21%	22 Apr →
inferno	2–13	-0.07	24%	22 Apr →
anubis	10–13	-0.01	20%	22 Apr →
dust2	13–8	0.09	22%	22 Apr →
inferno	13–6	0.10	19%	20 Apr →
mirage	17–19	0.03	24%	20 Apr →
overpass	13–11	-0.01	25%	20 Apr →
dust2	5–13	-0.05	10%	19 Apr →
inferno	7–13	-0.03	24%	19 Apr →
nuke	5–9	0.07	22%	9 Apr →
vertigo	12–12	0.04	35%	9 Apr →
vertigo	12–12	0.09	31%	9 Apr →
inferno	6–9	0.01	38%	7 Apr →
anubis	13–2	0.17	38%	7 Apr →
mirage	13–5	0.02	24%	30 Mar →
mirage	8–13	-0.07	23%	30 Mar →
overpass	9–13	-0.07	8%	30 Mar →
anubis	13–7	0.06	31%	29 Mar →