icy- "silly" yaK — CS2 Stats

76561198271969441[U:1:311703713]Steam profile ↗✓ No bans

3,331Tracked matches50%Win rate2020Tracked since

6,295Hours in CS45Hrs last 2 wks

CSDB Rating7.7 StrongPositional Player

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

+72Tracked matches · now 3,331

−7.7ppWin rate · 57.7% → 50.0%

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 20 days played since 26 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

20Days played since 2026-08-26

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim98

Positioning79

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY51–39–10Last 10051%Win rateWLWWLWLLWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +0.1pp headshot accuracy · +28ms 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

3–2 · 60% win rate
Avg rating 0.07
Avg headshot accuracy 31%
Avg reaction 477ms

Last 10

5–5 · 50% win rate
Avg rating 0.06
Avg headshot accuracy 32%
Avg reaction 483ms

Last 20

9–9–2 · 45% win rate
Avg rating 0.06
Avg headshot accuracy 32%
Avg reaction 469ms

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 (+1.6 against its own average).

Aim9.8

Utility5.5

Positioning7.9

Opening Duels5.8

Clutch6.0

Sharp aimerLimited utility dependence

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 jL 84% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 98 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.8

Positioning7.9

Utility5.5

Mechanics8.1

Opening Duels6.6

Win Impact5.0

Composite 7.7/10 (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 rating0.06−0.01

first ⅓ avg 0.07 → last ⅓ avg 0.06

Reaction time475ms−46ms

first ⅓ avg 521ms → last ⅓ avg 475ms

Headshot accuracy30.4%+0.5%

first ⅓ avg 30.0% → last ⅓ avg 30.4%

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.

Personal bests

0.24Best match rating · 13–3 · office, 3 Sept →

100%Best headshot accuracy · 3–0 · dust2, 5 Sept →

344msFastest reaction time · 5–0 · inferno, 8 Sept →

13–2Biggest win · office, 9 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

9–8In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 67% over 15cacheWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
office	B	71	34–37	48%	0.07
dust2	S	15	10–5	67%	0.03
cache	C	7	3–4	43%	0.04
inferno	—	3	1–2	33%	-0.01
mirage	—	3	2–1	67%	0.05
shelter	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Lifetime stats

153,913Lifetime kills

1.26K/D · Top 25% of tracked players

8,043Matches

52.8%Match win rate · Top 10% of tracked players

52.6%Headshot % · Top 25% of tracked players

10.5%Shot accuracy

25,026MVPs

3,169Hours (in match)

2,456Bombs planted

585Bombs defused

Most-used weapons

AK-4737,200

AWP19,458

M4A4 / M4A1-S18,158

Desert Eagle17,209

P2000 / USP-S8,591

Glock-187,230

SSG 086,517

MAC-103,189

Galil AR2,980

XM10142,643

Lifetime map wins

53,708office

6,690dust2

1,883nuke

1,736inferno

1,498vertigo

782italy

763train

340cbble

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

Faceit stats

Combat

23Matches

57%Win rate

1.16Avg K/D

96.9ADR

56%Headshot %

Clutches & streaks

50%1v1 clutch win

33%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	50%	1.58	20.8
Dust2	3	100%	1.67	26.7
Nuke	3	33%	1.18	19.0
Train	1	100%	0.89	16.0
Anubis	1	0%	1.07	15.0
Ancient	1	100%	1.25	15.0
Cache	1	100%	1.42	17.0

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.

31.2%Headshot accuracy

41.5%Accuracy (enemy spotted)

49.2%Spray accuracy

86.4%Counter-strafing

7.4°Preaim

460msReaction time

54.4%T opening success

58.3%CT opening success

0.67Enemies flashed / flash

5.2%Flash assists

12.69HE damage / grenade

4.86Flashes / match

Recommended for you

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
office	13–11	0.10	42%	18 Sept →
office	3–13	0.03	30%	18 Sept →
office	13–9	0.09	26%	18 Sept →
dust2	13–11	0.05	18%	16 Sept →
office	7–13	0.08	38%	16 Sept →
office	13–5	0.07	37%	16 Sept →
office	4–13	0.02	26%	16 Sept →
office	1–5	0.05	15%	15 Sept →
office	13–9	0.09	45%	15 Sept →
office	5–13	0.03	42%	15 Sept →
office	11–13	0.02	28%	15 Sept →
office	5–13	0.04	37%	13 Sept →
office	7–13	-0.11	29%	13 Sept →
office	8–13	0.02	39%	12 Sept →
office	12–12	0.10	31%	12 Sept →
office	13–8	0.09	43%	12 Sept →
office	13–6	0.13	34%	12 Sept →
office	13–11	0.02	20%	12 Sept →
office	13–10	0.10	20%	12 Sept →
office	12–12	0.15	36%	11 Sept →
office	7–13	0.06	14%	11 Sept →
office	6–13	0.21	39%	11 Sept →
office	3–13	0.05	22%	11 Sept →
shelter	13–5	0.07	63%	11 Sept →
office	4–13	-0.02	25%	11 Sept →
office	6–1	-0.02	32%	10 Sept →
office	9–13	0.08	27%	10 Sept →
office	13–3	0.06	17%	10 Sept →
office	13–8	0.08	26%	10 Sept →
office	13–10	-0.00	29%	10 Sept →
office	13–5	0.05	14%	9 Sept →
dust2	12–12	-0.02	18%	9 Sept →
office	13–4	0.07	45%	9 Sept →
office	13–8	0.11	21%	9 Sept →
office	9–13	0.02	20%	9 Sept →
office	13–11	0.15	29%	9 Sept →
office	13–2	0.15	40%	9 Sept →
office	13–8	0.12	35%	9 Sept →
office	12–12	-0.01	20%	8 Sept →
office	13–9	0.09	23%	8 Sept →
cache	8–13	0.06	23%	8 Sept →
office	1–13	-0.07	19%	8 Sept →
office	10–13	0.13	23%	8 Sept →
inferno	5–0	0.01	67%	8 Sept →
office	7–13	0.01	34%	7 Sept →
office	8–13	0.13	31%	7 Sept →
office	13–5	0.02	24%	7 Sept →
dust2	5–13	0.03	27%	7 Sept →
cache	13–6	0.12	24%	5 Sept →
dust2	3–0	0.02	100%	5 Sept →
dust2	13–11	0.05	25%	5 Sept →
office	12–12	0.06	19%	5 Sept →
office	13–5	0.13	38%	5 Sept →
office	3–13	0.10	29%	5 Sept →
dust2	12–12	-0.03	18%	5 Sept →
dust2	13–7	0.14	20%	5 Sept →
dust2	11–13	-0.05	15%	4 Sept →
office	11–13	0.09	43%	3 Sept →
office	13–3	0.24	35%	3 Sept →
office	10–13	0.05	40%	3 Sept →
inferno	2–13	0.00	19%	3 Sept →
mirage	13–8	0.10	17%	3 Sept →
cache	8–13	0.03	15%	3 Sept →
dust2	13–10	-0.05	22%	3 Sept →
dust2	13–11	0.13	23%	2 Sept →
dust2	13–10	0.05	19%	2 Sept →
mirage	13–6	-0.01	24%	2 Sept →
dust2	13–3	-0.01	29%	2 Sept →
cache	4–13	0.06	22%	2 Sept →
dust2	13–5	0.02	28%	2 Sept →
cache	13–7	-0.03	12%	1 Sept →
dust2	11–13	0.05	26%	1 Sept →
dust2	13–5	0.08	22%	30 Aug →
inferno	4–13	-0.04	13%	30 Aug →
office	10–13	0.11	41%	30 Aug →
office	9–13	0.14	37%	29 Aug →
office	12–12	0.08	33%	29 Aug →
office	13–7	0.17	41%	29 Aug →
office	13–6	0.00	30%	29 Aug →
office	13–3	0.09	35%	29 Aug →
office	13–8	0.07	38%	28 Aug →
office	13–10	0.04	36%	28 Aug →
office	5–13	0.02	29%	28 Aug →
office	13–11	0.05	41%	28 Aug →
office	13–11	0.13	21%	28 Aug →
office	13–8	0.16	33%	28 Aug →
office	12–12	0.02	41%	27 Aug →
office	13–6	0.03	20%	27 Aug →
office	11–13	0.05	35%	27 Aug →
office	11–13	-0.03	18%	27 Aug →
office	13–5	0.22	35%	27 Aug →
mirage	11–13	0.05	22%	27 Aug →
office	10–13	0.10	27%	27 Aug →
cache	7–13	0.03	20%	26 Aug →
office	12–12	0.08	37%	26 Aug →
office	13–5	0.14	38%	26 Aug →
office	13–11	0.10	24%	26 Aug →
cache	13–10	0.00	25%	26 Aug →
office	11–13	0.14	40%	26 Aug →
office	12–12	0.06	42%	26 Aug →