EAB — CS2 Stats

DE76561198066927564[U:1:106661836]Steam profile ↗✓ No bans

1,943Tracked matches41%Win rate2020Tracked since

7,482Hours in CS10Hrs last 2 wks

CSDB Rating6.3 SolidClutch Specialist

Premier CS Rating24,244Pink band · top ~3.8% of ranked players (population est.)

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim82

Positioning54

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY40–51–9Last 10040%Win rateLLLLWWLWWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −3.7pp headshot accuracy · +52ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.02
Avg headshot accuracy 25%
Avg reaction 738ms

Last 10

5–5 · 50% win rate
Avg rating -0.00
Avg headshot accuracy 25%
Avg reaction 641ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 27%
Avg reaction 614ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.8 against its own average).

Aim8.2

Utility7.1

Positioning5.4

Opening Duels2.3

Clutch10.0

Reliable in 1v1s

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 NiKo 88% playstyle similarity

Most alike: utility contribution, 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

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 11.5° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 587ms 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

Aim8.2

Positioning5.4

Utility7.1

Mechanics8.0

Opening Duels2.1

Win Impact1.9

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time586ms−29ms

first ⅓ avg 615ms → last ⅓ avg 586ms

Headshot accuracy27.0%−2.8%

first ⅓ avg 29.8% → last ⅓ avg 27.0%

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

0.12Best match rating · 13–2 · cache, 5 Jul →

63%Best headshot accuracy · 9–4 · eldorado, 26 Jul →

352msFastest reaction time · 10–13 · office, 12 Aug →

13–0Biggest win · dust2, 9 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L4Current streak

6–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 59% over 17officeWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	24	9–15	38%	0.00
dust2	B	21	10–11	48%	0.00
inferno	A	17	10–7	59%	0.02
anubis	C	8	3–5	38%	0.02
ancient	D	7	2–5	29%	0.01
mirage	D	6	1–5	17%	-0.06
office	D	6	0–6	0%	0.00
nuke	—	4	2–2	50%	0.00
train	—	1	0–1	0%	-0.02
fachwerk	—	1	1–0	100%	-0.06
eldorado	—	1	1–0	100%	0.06
boulder	—	1	0–1	0%	0.05
shelter	—	1	0–1	0%	-0.04
overpass	—	1	0–1	0%	-0.03
italy	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Lifetime stats

255,642Lifetime kills

1.24K/D

14,483Matches

48.3%Match win rate

45.5%Headshot %

17.9%Shot accuracy

27,570MVPs

4,372Hours (in match)

14,237Bombs planted

2,811Bombs defused

Most-used weapons

AK-4761,956

AWP45,132

Desert Eagle30,698

M4A4 / M4A1-S24,807

P2000 / USP-S9,673

SSG 088,755

Glock-185,977

MP94,369

Galil AR4,176

FAMAS4,157

Lifetime map wins

26,632dust2

19,085inferno

4,179vertigo

2,477office

1,737train

1,562nuke

848lake

720cbble

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

Faceit stats

Combat

152Matches

57%Win rate

1.28Avg K/D

90.9ADR

44%Headshot %

Clutches & streaks

100%1v1 clutch win

62%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	3	100%	1.40	19.0
Nuke	2	100%	1.24	13.5
Inferno	2	100%	2.08	20.5
Ancient	1	0%	0.67	8.0
Anubis	1	100%	0.62	13.0
Mirage	1	0%	0.89	16.0

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.

27.8%Headshot accuracy

35.2%Accuracy (enemy spotted)

38.9%Spray accuracy

85.9%Counter-strafing

11.5°Preaim

587msReaction time

35.7%T opening success

41.4%CT opening success

0.65Enemies flashed / flash

8.5%Flash assists

13.25HE damage / grenade

14.24Flashes / 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.

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 35.7192% — below the 40% mark we flag

Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	9–13	0.01	30%	12 Nov →
mirage	1–13	-0.13	36%	12 Nov →
dust2	4–13	0.00	29%	12 Nov →
nuke	3–8	-0.03	14%	11 Nov →
inferno	13–6	0.05	15%	11 Nov →
nuke	13–3	0.03	35%	11 Nov →
mirage	9–13	-0.02	14%	11 Nov →
anubis	13–5	0.06	21%	11 Nov →
nuke	13–5	-0.01	24%	11 Nov →
anubis	13–7	0.02	38%	19 Oct →
dust2	13–10	0.04	19%	7 Oct →
mirage	4–13	-0.11	21%	4 Oct →
dust2	8–13	-0.05	53%	2 Oct →
dust2	13–9	0.06	32%	2 Oct →
nuke	15–15	0.03	24%	2 Oct →
anubis	12–12	0.04	22%	2 Oct →
ancient	13–4	0.07	28%	1 Oct →
ancient	5–13	-0.02	38%	1 Oct →
cache	4–13	-0.09	24%	8 Sept →
dust2	14–16	-0.03	31%	5 Sept →
dust2	11–13	0.00	36%	5 Sept →
cache	13–9	0.07	35%	4 Sept →
cache	7–13	-0.03	16%	4 Sept →
cache	13–2	0.08	18%	3 Sept →
mirage	11–13	-0.01	30%	28 Aug →
inferno	16–13	0.06	19%	17 Aug →
inferno	3–13	0.03	50%	16 Aug →
office	12–12	-0.04	35%	13 Aug →
dust2	4–13	0.02	35%	12 Aug →
office	10–13	0.01	17%	12 Aug →
train	0–13	-0.02	17%	12 Aug →
mirage	13–8	-0.02	17%	11 Aug →
office	12–12	0.01	20%	11 Aug →
cache	5–13	-0.07	24%	9 Aug →
dust2	13–0	0.00	0%	9 Aug →
inferno	16–12	0.06	23%	6 Aug →
cache	2–13	-0.06	27%	6 Aug →
ancient	8–13	0.02	35%	4 Aug →
cache	13–10	-0.03	22%	2 Aug →
anubis	1–13	-0.05	29%	29 Jul →
cache	4–13	-0.01	30%	29 Jul →
fachwerk	13–11	-0.06	19%	28 Jul →
mirage	4–13	-0.07	30%	28 Jul →
dust2	4–13	-0.07	26%	28 Jul →
inferno	15–15	0.05	31%	27 Jul →
cache	13–5	-0.01	27%	27 Jul →
cache	11–13	-0.07	38%	26 Jul →
eldorado	9–4	0.06	63%	26 Jul →
cache	13–0	0.04	31%	26 Jul →
inferno	4–13	-0.03	26%	21 Jul →
anubis	8–13	-0.02	36%	20 Jul →
dust2	13–11	0.06	33%	20 Jul →
inferno	13–11	0.05	21%	20 Jul →
cache	0–13	-0.06	20%	19 Jul →
dust2	13–11	0.04	33%	19 Jul →
cache	13–9	0.01	33%	18 Jul →
dust2	16–14	0.03	30%	17 Jul →
inferno	13–4	0.07	18%	17 Jul →
dust2	0–13	-0.05	0%	15 Jul →
cache	7–13	-0.01	21%	15 Jul →
boulder	9–13	0.05	26%	14 Jul →
dust2	13–7	-0.00	47%	13 Jul →
office	8–13	-0.01	33%	13 Jul →
anubis	13–10	0.04	44%	12 Jul →
cache	2–13	-0.08	25%	12 Jul →
office	6–13	0.04	38%	12 Jul →
inferno	13–6	0.07	31%	11 Jul →
inferno	7–1	-0.06	29%	11 Jul →
cache	15–15	0.03	29%	9 Jul →
shelter	6–13	-0.04	60%	9 Jul →
cache	13–7	0.11	31%	8 Jul →
cache	4–13	-0.05	21%	8 Jul →
cache	7–13	0.03	33%	8 Jul →
office	7–13	0.00	28%	8 Jul →
cache	13–2	0.12	32%	5 Jul →
overpass	8–13	-0.03	4%	4 Jul →
inferno	6–13	0.00	24%	2 Jul →
cache	12–12	0.06	36%	2 Jul →
dust2	11–13	-0.05	30%	2 Jul →
dust2	5–13	-0.02	29%	1 Jul →
dust2	13–8	-0.01	27%	1 Jul →
inferno	2–13	-0.05	36%	1 Jul →
ancient	11–13	-0.03	33%	30 Jun →
dust2	13–8	0.05	22%	30 Jun →
anubis	10–13	0.05	42%	30 Jun →
dust2	13–6	0.01	21%	30 Jun →
cache	11–13	-0.04	29%	30 Jun →
inferno	13–6	0.10	46%	29 Jun →
ancient	13–3	0.05	44%	29 Jun →
dust2	8–13	0.04	39%	29 Jun →
dust2	13–16	0.00	24%	29 Jun →
ancient	12–12	-0.05	19%	29 Jun →
cache	13–4	0.09	23%	29 Jun →
inferno	13–10	0.06	20%	28 Jun →
inferno	9–13	-0.04	20%	28 Jun →
anubis	15–15	0.00	25%	28 Jun →
italy	13–11	0.04	30%	28 Jun →
cache	9–13	-0.01	44%	28 Jun →
inferno	16–13	0.06	22%	27 Jun →
inferno	7–13	-0.04	30%	27 Jun →