eatsack — CS2 Stats

US76561199344212498[U:1:1383946770]Steam profile ↗✓ No bans

556Tracked matches43%Win rate2022Tracked since

740Hours in CS49Hrs last 2 wks

CSDB Rating4.7 DevelopingPassive Rifler

Premier CS Rating10,686Blue band · top ~51.3% of ranked players (population est.)

CSDB Leaderboard#8592 of 11858 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim65

Positioning41

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateWWLLWLWLLW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.5

Aggression3.9

Utility4.1

Positioning4.1

Opening Duels0.3

Clutch0.0

Strong CT-side opener

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 81% playstyle similarity

Most alike: opening-fight frequency, 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 39% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 666ms 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

Aim6.5

Positioning4.1

Utility4.1

Mechanics8.0

Opening Duels1.2

Win Impact2.6

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.00

Reaction time668ms−36ms

first ⅓ avg 704ms → last ⅓ avg 668ms

Headshot accuracy13.8%+4.5%

first ⅓ avg 9.3% → last ⅓ avg 13.8%

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 — nuke 13–1

13–0Biggest win — train

3Longest win streak

W2Current streak

3–10In matches decided by ≤2 rounds

9Overtime games

Map breakdown

mirageBest map · 73% over 15ancientWeakest map · 28% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	11–13	46%	-0.01
ancient	D	18	5–13	28%	-0.02
cache	D	18	6–12	33%	-0.01
mirage	S	15	11–4	73%	0.00
nuke	B	14	7–7	50%	-0.02
anubis	—	4	1–3	25%	0.00
vertigo	—	4	1–3	25%	0.01
inferno	—	2	0–2	0%	-0.04
train	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,454Lifetime kills

0.81K/D

887Matches

42.6%Match win rate

32.6%Headshot %

15.9%Shot accuracy · Top 25% of tracked players

1,004MVPs

298Hours (in match)

773Bombs planted

168Bombs defused

Most-used weapons

M4A4 / M4A1-S3,536

AK-473,263

P2000 / USP-S922

Glock-18696

Galil AR428

MP9382

FAMAS358

MAC-10355

Desert Eagle278

AWP257

Lifetime map wins

1,579dust2

1,466nuke

588inferno

452vertigo

25office

21train

8cbble

2lake

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

Faceit stats

Combat

76Matches

43%Win rate

0.64Avg K/D

75.7ADR

24%Headshot %

Clutches & streaks

0%1v1 clutch win

33%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	0%	0.68	13.0
Vertigo	1	100%	1.00	16.0
Dust2	1	0%	0.80	12.0
Nuke	1	100%	0.50	9.0

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.

14.0%Headshot accuracy

35.9%Accuracy (enemy spotted)

37.0%Spray accuracy

86.1%Counter-strafing

9.4°Preaim

666msReaction time

23.3%T opening success

39.3%CT opening success

0.49Enemies flashed / flash

4.5%Flash assists

10.74HE damage / grenade

7.57Flashes / 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.

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 14.0003% — below the 15% mark we flag
Aim Training →
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 0.4871 — 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 23.3248% — below the 40% mark we flag

Spend your practice time on Ancient

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

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–7	0.01	17%	27 Aug →
mirage	13–9	0.08	11%	27 Aug →
dust2	6–13	-0.06	8%	27 Aug →
anubis	14–16	0.03	15%	26 Aug →
nuke	13–8	-0.04	12%	26 Aug →
dust2	9–13	0.00	15%	25 Aug →
mirage	13–6	-0.01	10%	25 Aug →
dust2	3–13	-0.06	9%	25 Aug →
ancient	4–13	-0.05	7%	24 Aug →
nuke	13–10	-0.09	3%	24 Aug →
dust2	13–10	0.05	13%	24 Aug →
vertigo	6–13	-0.03	16%	22 Aug →
ancient	3–13	-0.07	19%	22 Aug →
dust2	15–15	0.05	34%	21 Aug →
nuke	8–13	0.07	13%	21 Aug →
nuke	7–13	-0.04	15%	20 Aug →
ancient	11–13	-0.01	13%	20 Aug →
ancient	10–13	-0.01	22%	20 Aug →
dust2	13–2	0.01	15%	20 Aug →
dust2	10–13	-0.07	15%	19 Aug →
cache	13–6	0.04	9%	19 Aug →
cache	9–1	0.12	18%	19 Aug →
train	13–0	0.08	13%	18 Aug →
vertigo	5–13	0.02	19%	18 Aug →
mirage	13–11	0.03	5%	18 Aug →
ancient	4–13	-0.08	7%	18 Aug →
dust2	13–4	-0.05	25%	18 Aug →
inferno	2–13	-0.02	13%	18 Aug →
cache	10–13	-0.05	13%	18 Aug →
dust2	12–12	-0.00	12%	17 Aug →
cache	11–13	0.03	13%	17 Aug →
nuke	13–1	0.13	18%	17 Aug →
mirage	13–10	0.04	10%	16 Aug →
cache	7–13	0.06	18%	16 Aug →
cache	13–4	0.06	18%	16 Aug →
ancient	10–13	0.01	15%	16 Aug →
dust2	13–6	-0.01	18%	16 Aug →
cache	16–13	-0.06	15%	16 Aug →
dust2	13–9	0.05	13%	14 Aug →
dust2	11–13	-0.07	15%	13 Aug →
ancient	13–9	-0.04	8%	12 Aug →
cache	13–8	-0.03	9%	12 Aug →
dust2	15–15	-0.02	18%	11 Aug →
ancient	14–16	-0.03	16%	11 Aug →
ancient	13–16	-0.04	8%	10 Aug →
nuke	8–13	-0.05	8%	10 Aug →
cache	11–13	0.02	20%	7 Aug →
dust2	8–13	-0.02	10%	7 Aug →
cache	7–13	-0.02	11%	7 Aug →
mirage	13–5	0.04	17%	7 Aug →
nuke	7–13	-0.04	9%	7 Aug →
ancient	13–10	-0.01	10%	5 Aug →
inferno	1–6	-0.06	0%	4 Aug →
vertigo	3–13	-0.05	17%	4 Aug →
mirage	13–4	-0.02	11%	4 Aug →
cache	15–15	-0.02	8%	4 Aug →
mirage	13–9	0.00	14%	4 Aug →
vertigo	13–1	0.10	12%	4 Aug →
dust2	9–13	-0.07	12%	3 Aug →
mirage	4–13	-0.02	6%	3 Aug →
nuke	11–13	-0.05	5%	3 Aug →
ancient	13–11	-0.01	15%	1 Aug →
mirage	13–16	0.02	12%	1 Aug →
dust2	13–4	-0.03	18%	29 Jul →
ancient	9–13	-0.01	8%	29 Jul →
ancient	6–13	-0.04	10%	29 Jul →
nuke	13–9	-0.05	4%	28 Jul →
dust2	13–3	0.05	11%	28 Jul →
cache	9–13	-0.06	4%	28 Jul →
nuke	13–6	-0.02	11%	28 Jul →
mirage	13–10	-0.03	3%	27 Jul →
cache	10–13	-0.07	14%	27 Jul →
dust2	3–13	-0.10	3%	27 Jul →
anubis	2–13	-0.04	17%	27 Jul →
dust2	5–13	-0.02	10%	27 Jul →
ancient	3–0	0.07	10%	27 Jul →
mirage	13–8	-0.02	9%	27 Jul →
cache	11–13	-0.03	7%	26 Jul →
mirage	13–5	-0.04	12%	26 Jul →
dust2	13–10	-0.02	9%	26 Jul →
nuke	14–16	-0.02	7%	26 Jul →
ancient	11–13	-0.06	7%	26 Jul →
anubis	13–10	0.02	4%	26 Jul →
nuke	7–13	0.03	5%	26 Jul →
mirage	12–12	-0.06	8%	25 Jul →
dust2	13–8	0.09	16%	25 Jul →
cache	8–13	-0.04	10%	25 Jul →
cache	9–13	-0.11	3%	25 Jul →
mirage	13–5	0.04	2%	25 Jul →
cache	13–2	0.05	14%	25 Jul →
ancient	13–6	0.01	9%	25 Jul →
ancient	9–13	-0.03	11%	25 Jul →
dust2	13–10	0.02	9%	25 Jul →
nuke	13–11	-0.04	10%	24 Jul →
anubis	1–12	0.00	9%	21 Jul →
mirage	10–13	-0.06	17%	21 Jul →
cache	3–13	-0.04	13%	21 Jul →
nuke	13–6	0.00	18%	20 Jul →
ancient	9–13	-0.05	5%	20 Jul →
dust2	7–13	-0.02	8%	20 Jul →