2ecky — CS2 Stats

76561198129532657[U:1:169266929]

698Tracked matches27%Win rate2020Tracked since

1,327Hours in CS

CSDB Rating4.1 Developing

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim57

Positioning44

Utility44

0–100 skill scores via Leetify.

Recent form

COLD35–58–7Last 10035%Win rateLWLLWLLLLW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim5.7

Aggression5.5

Utility4.4

Positioning4.4

Opening Duels1.3

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 83% 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. 688ms 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

Aim5.7

Positioning4.4

Utility4.4

Mechanics4.8

Opening Duels1.3

Win Impact0.0

Composite 4.1/10 (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 rating-0.02+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time692ms−14ms

first ⅓ avg 706ms → last ⅓ avg 692ms

Headshot accuracy24.6%+6.4%

first ⅓ avg 18.2% → last ⅓ avg 24.6%

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

0.13Best rating — cache 13–1

13–0Biggest win — dust2

4Longest win streak

3–5In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 40% over 5cacheWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	75	26–49	35%	-0.01
cache	D	9	3–6	33%	-0.01
ancient	C	5	2–3	40%	-0.05
inferno	—	3	2–1	67%	-0.06
overpass	—	2	0–2	0%	-0.07
mirage	—	2	0–2	0%	-0.02
train	—	2	1–1	50%	-0.04
vertigo	—	1	0–1	0%	0.08
edin	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Lifetime stats

68,761Lifetime kills

0.80K/D

4,118Matches

34.5%Match win rate

35.8%Headshot %

16.5%Shot accuracy · Top 25% of tracked players

5,169MVPs

1,327Hours (in match)

2,545Bombs planted

491Bombs defused

Most-used weapons

AK-4716,994

AWP11,180

M4A4 / M4A1-S9,191

P2000 / USP-S4,133

Desert Eagle3,799

Glock-182,751

P901,634

Knife1,631

Tec-91,605

P2501,583

Lifetime map wins

19,046dust2

920inferno

334vertigo

295nuke

176cbble

139train

100office

71lake

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

Faceit stats

Combat

15Matches

53%Win rate

0.63Avg K/D

—ADR

36%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsLWLWW

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.

23.3%Headshot accuracy

32.2%Accuracy (enemy spotted)

42.2%Spray accuracy

71.4%Counter-strafing

11.1°Preaim

688msReaction time

31.6%T opening success

38.9%CT opening success

0.52Enemies flashed / flash

4.9%Flash assists

5.99HE damage / grenade

8.09Flashes / 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 31.6246% — below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	10–13	-0.11	20%	18 Jul →
dust2	13–5	0.01	32%	14 Jul →
dust2	10–13	-0.02	19%	29 Jun →
dust2	10–13	-0.06	15%	29 Jun →
dust2	13–11	-0.01	30%	29 Jun →
dust2	10–13	0.03	42%	24 Jun →
dust2	10–13	0.04	44%	24 Jun →
dust2	7–13	-0.01	29%	24 Jun →
ancient	8–13	-0.16	6%	12 Jun →
dust2	13–9	0.01	19%	22 May →
ancient	11–13	-0.00	20%	22 May →
dust2	13–1	0.02	22%	22 May →
cache	9–13	-0.05	36%	22 May →
cache	9–13	-0.05	16%	16 May →
dust2	6–13	-0.04	31%	16 May →
dust2	9–13	-0.01	12%	15 May →
dust2	6–13	0.07	38%	15 May →
dust2	5–13	-0.08	7%	9 May →
cache	10–13	0.02	15%	9 May →
dust2	13–7	-0.03	25%	8 May →
cache	13–11	0.00	21%	8 May →
dust2	10–13	0.03	23%	6 May →
cache	13–7	-0.07	17%	4 May →
cache	9–13	-0.05	21%	2 May →
dust2	9–13	0.04	26%	2 May →
cache	8–13	0.06	20%	2 May →
cache	13–1	0.13	33%	1 May →
cache	7–13	-0.06	27%	1 May →
dust2	7–13	-0.03	19%	1 Apr →
dust2	7–13	-0.08	19%	1 Apr →
dust2	1–4	-0.09	57%	28 Mar →
dust2	13–3	-0.00	26%	28 Mar →
dust2	13–7	0.01	26%	27 Mar →
dust2	1–8	-0.02	25%	24 Mar →
dust2	13–3	0.12	31%	31 Jan →
dust2	13–10	-0.01	44%	20 Dec →
dust2	12–12	0.10	33%	20 Dec →
overpass	11–13	-0.09	31%	12 Oct →
dust2	8–13	-0.00	22%	6 Oct →
dust2	13–9	-0.03	19%	6 Oct →
dust2	7–13	0.02	14%	6 Oct →
dust2	13–7	-0.07	40%	13 Sept →
dust2	1–13	-0.05	35%	29 Aug →
dust2	0–9	-0.08	18%	20 Aug →
mirage	5–13	0.03	15%	20 Aug →
dust2	1–13	-0.07	29%	20 Aug →
dust2	11–13	0.11	38%	16 Aug →
dust2	13–9	0.05	12%	16 Aug →
dust2	13–10	-0.08	11%	16 Aug →
dust2	13–2	0.07	19%	11 Aug →
dust2	7–13	-0.06	11%	6 Aug →
dust2	8–13	0.09	26%	6 Aug →
dust2	8–13	-0.05	15%	3 Aug →
dust2	13–7	-0.04	29%	3 Aug →
dust2	13–2	0.05	21%	3 Aug →
inferno	2–13	-0.09	6%	3 Aug →
dust2	13–3	0.01	36%	2 Aug →
vertigo	12–12	0.08	15%	2 Aug →
dust2	9–13	-0.01	15%	2 Aug →
dust2	5–13	-0.01	11%	2 Aug →
dust2	6–13	-0.02	21%	2 Aug →
dust2	8–13	0.02	23%	2 Aug →
dust2	8–13	0.07	16%	2 Aug →
dust2	10–13	-0.05	28%	1 Aug →
dust2	13–0	0.09	21%	1 Aug →
dust2	13–7	0.00	8%	1 Aug →
dust2	13–5	-0.02	36%	1 Aug →
inferno	13–10	-0.08	21%	1 Aug →
dust2	10–13	-0.03	10%	31 Jul →
dust2	8–13	-0.02	17%	31 Jul →
dust2	7–13	-0.01	14%	31 Jul →
dust2	13–3	0.09	26%	31 Jul →
dust2	8–13	-0.08	18%	31 Jul →
dust2	12–12	-0.01	21%	31 Jul →
dust2	9–13	-0.05	13%	27 Jul →
dust2	11–13	0.02	18%	26 Jul →
dust2	6–13	0.02	27%	26 Jul →
mirage	12–12	-0.06	24%	26 Jul →
dust2	13–6	0.06	21%	26 Jul →
overpass	3–13	-0.05	16%	26 Jul →
inferno	13–8	0.01	12%	12 Jul →
dust2	6–13	-0.06	21%	29 May →
dust2	3–13	-0.10	18%	23 May →
edin	13–5	0.04	29%	5 May →
dust2	12–12	-0.04	29%	30 Apr →
dust2	7–13	0.01	21%	12 Apr →
dust2	10–13	-0.02	13%	4 Apr →
ancient	2–13	-0.07	12%	4 Apr →
dust2	13–11	-0.03	14%	1 Apr →
dust2	13–6	0.05	14%	1 Apr →
ancient	13–6	-0.06	12%	6 Feb →
dust2	10–13	-0.03	34%	6 Feb →
dust2	12–12	-0.10	17%	31 Jan →
dust2	11–13	-0.04	20%	31 Jan →
dust2	12–12	-0.05	30%	18 Jan →
dust2	13–7	0.02	15%	20 Dec →
dust2	13–7	-0.04	13%	20 Dec →
ancient	13–6	0.06	6%	13 Dec →
train	13–7	-0.04	8%	13 Dec →
train	10–13	-0.03	16%	18 Nov →