Snow . — CS2 Stats

NL76561197964489515[U:1:4223787]Steam profile ↗✓ No bans

2,796Tracked matches54%Win rate2020Tracked since

7,149Hours in CS11Hrs last 2 wks

CSDB Rating4.1 DevelopingSupport

Premier CS Rating3,197Grey band · top ~86.4% of ranked players (population est.)

CSDB Leaderboard#206685 of 259081 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (24 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 3,197 -2,006 2 Sept – 7 Oct · 11 days played

5,203Peak Premier in tracked matches

30Days played since 2026-09-02

Premier CS Rating

2,006 below peak (5,203)
-2,006 over 30 days · declining
Next: Light Blue band at 5,000 — 1,803 to go
Reached: Light Blue band
Light Blue band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Grey band median	Light Blue band median	vs Light Blue band
Headshot rate	37.6%	38.2%	39.9%	2.4% short
Shot accuracy	12.9%	3.6%	7.0%	above
Kill/death ratio	0.87	0.83	0.92	0.04 short
Match win rate	41.6%	40.2%	42.3%	meets

This profile matches the typical Light Blue band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim41

Positioning46

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY39–52–9Last 10039%Win rateLTLLWWWWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +0.6pp headshot accuracy · +3ms 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

1–3–1 · 20% win rate
Avg rating 0.00
Avg headshot accuracy 16%
Avg reaction 645ms

Last 10

5–4–1 · 50% win rate
Avg rating -0.00
Avg headshot accuracy 14%
Avg reaction 655ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 13%
Avg reaction 653ms

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: Support — Utility contribution stands above the rest of this profile (+2.4 against its own average).

Aim4.1

Utility5.2

Positioning4.6

Opening Duels1.3

Clutch0.0

Limited 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 NiKo 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 649ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1

Positioning4.6

Utility5.2

Mechanics4.1

Opening Duels4.1

Win Impact6.3

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time657ms+51ms

first ⅓ avg 606ms → last ⅓ avg 657ms

Headshot accuracy13.1%−1.3%

first ⅓ avg 14.4% → last ⅓ avg 13.1%

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

0.11Best match rating · 13–4 · dust2, 3 Oct →

40%Best headshot accuracy · 13–4 · dust2, 3 Oct →

422msFastest reaction time · 11–13 · dust2, 20 Sept →

13–1Biggest win · dust2, 16 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

7–8In matches decided by ≤2 rounds

1Overtime games

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 7 maps qualify so far.

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	87	33–54	38%	-0.02
inferno	—	4	1–3	25%	-0.03
cache	—	3	3–0	100%	0.00
anubis	—	2	0–2	0%	0.01
ancient	—	2	1–1	50%	0.02
nuke	—	1	0–1	0%	0.05
mirage	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Lifetime stats

159,258Lifetime kills

0.87K/D · Top 50% of Grey band

9,092Matches

41.6%Match win rate · Top 50% of Grey band

37.6%Headshot %

12.9%Shot accuracy · Top 25% of Grey band

19,093MVPs

3,882Hours (in match)

10,062Bombs planted

1,540Bombs defused

Most-used weapons

M4A4 / M4A1-S45,175

AK-4728,458

P9016,796

AWP13,024

P2000 / USP-S12,334

Glock-188,838

FAMAS6,039

Galil AR5,428

SG 5534,065

MP73,297

Lifetime map wins

66,971dust2

3,781inferno

2,525nuke

887vertigo

421train

266office

114italy

92cbble

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

Faceit stats

Combat

24Matches

42%Win rate

0.59Avg K/D

46.8ADR

35%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	1	0%	0.42	15.0
Mirage	1	100%	0.53	10.0
Nuke	1	0%	0.33	4.0
Ancient	1	100%	0.59	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.

12.8%Headshot accuracy

31.4%Accuracy (enemy spotted)

39.5%Spray accuracy

68.4%Counter-strafing

10.9°Preaim

649msReaction time

52.8%T opening success

40.1%CT opening success

0.64Enemies flashed / flash

4.3%Flash assists

10.23HE damage / grenade

4.02Flashes / 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 12.8319% — below the 15% mark we flag
Aim Training →

Recent matches

Map	Score	Rating	HS%	Date
dust2	3–13	-0.01	25%	30 Oct →
dust2	12–12	0.01	24%	30 Oct →
dust2	7–13	-0.04	11%	30 Oct →
dust2	9–13	0.01	10%	29 Oct →
dust2	13–7	0.06	11%	29 Oct →
dust2	13–10	0.00	15%	27 Oct →
dust2	13–11	0.03	8%	27 Oct →
dust2	13–11	-0.03	6%	27 Oct →
dust2	9–13	-0.06	14%	27 Oct →
dust2	13–4	0.03	11%	26 Oct →
dust2	8–13	-0.07	13%	26 Oct →
dust2	11–13	-0.01	14%	26 Oct →
dust2	13–10	0.03	12%	25 Oct →
dust2	8–13	-0.04	15%	24 Oct →
dust2	5–13	-0.08	12%	24 Oct →
dust2	12–12	-0.03	10%	24 Oct →
dust2	2–13	-0.04	10%	24 Oct →
dust2	8–13	-0.01	8%	17 Oct →
dust2	13–8	-0.05	12%	17 Oct →
dust2	13–1	0.08	24%	16 Oct →
dust2	10–2	-0.01	16%	16 Oct →
dust2	9–13	-0.04	16%	16 Oct →
dust2	6–13	0.01	12%	16 Oct →
dust2	13–8	0.01	13%	11 Oct →
dust2	13–8	-0.07	11%	11 Oct →
dust2	12–12	-0.03	14%	11 Oct →
dust2	13–1	0.03	17%	11 Oct →
dust2	12–12	-0.04	9%	11 Oct →
dust2	13–4	0.03	17%	10 Oct →
dust2	13–11	0.00	6%	10 Oct →
dust2	12–12	-0.04	8%	10 Oct →
dust2	12–12	-0.03	10%	10 Oct →
dust2	13–11	-0.04	20%	10 Oct →
dust2	13–11	0.01	11%	9 Oct →
dust2	0–13	-0.08	18%	9 Oct →
dust2	10–13	-0.03	7%	9 Oct →
dust2	10–13	0.03	18%	9 Oct →
dust2	12–12	-0.08	8%	9 Oct →
dust2	13–6	-0.02	4%	9 Oct →
dust2	9–13	0.08	17%	9 Oct →
dust2	3–8	-0.06	18%	8 Oct →
dust2	7–13	-0.05	23%	7 Oct →
dust2	10–13	-0.00	19%	6 Oct →
dust2	11–13	-0.03	9%	6 Oct →
dust2	8–13	-0.05	16%	5 Oct →
dust2	11–13	-0.08	3%	4 Oct →
dust2	13–3	0.10	16%	4 Oct →
anubis	7–13	-0.05	9%	3 Oct →
cache	13–1	0.01	9%	3 Oct →
dust2	13–4	0.07	18%	3 Oct →
dust2	13–4	0.11	40%	3 Oct →
dust2	13–7	0.03	8%	3 Oct →
inferno	13–11	-0.01	10%	3 Oct →
dust2	11–13	-0.01	19%	2 Oct →
dust2	11–13	-0.06	14%	2 Oct →
ancient	13–11	0.07	14%	2 Oct →
dust2	3–13	-0.07	8%	1 Oct →
dust2	9–13	-0.01	22%	1 Oct →
ancient	10–13	-0.03	13%	30 Sept →
nuke	11–13	0.05	12%	30 Sept →
cache	13–3	0.03	20%	29 Sept →
cache	13–10	-0.04	12%	29 Sept →
dust2	10–13	-0.03	10%	28 Sept →
dust2	6–13	-0.07	12%	28 Sept →
inferno	6–13	-0.05	9%	27 Sept →
dust2	13–5	-0.04	18%	27 Sept →
dust2	13–8	-0.01	14%	27 Sept →
dust2	13–2	-0.03	25%	27 Sept →
dust2	13–3	-0.01	11%	27 Sept →
dust2	2–13	-0.05	14%	27 Sept →
dust2	5–13	0.05	22%	27 Sept →
dust2	10–13	-0.05	19%	26 Sept →
dust2	13–4	-0.02	6%	26 Sept →
dust2	13–9	-0.01	13%	26 Sept →
dust2	6–13	-0.07	14%	25 Sept →
dust2	8–13	-0.03	16%	25 Sept →
dust2	2–13	-0.06	11%	24 Sept →
dust2	13–9	0.01	14%	24 Sept →
dust2	3–13	-0.09	21%	24 Sept →
dust2	6–13	0.01	11%	24 Sept →
dust2	7–13	-0.06	13%	24 Sept →
dust2	8–13	-0.00	9%	24 Sept →
dust2	9–13	-0.06	16%	24 Sept →
dust2	5–13	0.02	10%	23 Sept →
dust2	13–8	0.01	18%	23 Sept →
dust2	11–13	-0.02	11%	23 Sept →
dust2	12–12	-0.09	16%	23 Sept →
dust2	6–13	0.10	16%	23 Sept →
dust2	13–7	-0.06	21%	22 Sept →
anubis	6–13	0.07	14%	22 Sept →
dust2	13–9	0.03	13%	22 Sept →
dust2	13–2	-0.03	12%	22 Sept →
dust2	13–10	0.02	15%	21 Sept →
dust2	3–13	-0.06	15%	21 Sept →
dust2	10–13	-0.03	17%	21 Sept →
inferno	5–13	-0.03	6%	21 Sept →
dust2	11–13	0.05	21%	20 Sept →
dust2	4–13	0.01	16%	20 Sept →
inferno	15–15	-0.05	14%	20 Sept →
mirage	13–8	-0.02	7%	20 Sept →