SnoW — CS2 Stats

CZ76561197993774291[U:1:33508563]Steam profile ↗✓ No bans

1,804Tracked matches31%Win rate2020Tracked since

CSDB Rating4.2 Developing

Premier CS Rating20,982Top 50% of 44,590 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)

CSDB Leaderboard#19150 of 58908 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

Rating over time

20,982Peak Premier on CSDB

1Days observed since 2026-08-30

Premier CS Rating

At peak — 20,982
Next: Red band at 25,000 — 4,018 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-30
Purple band first seen 2026-08-30

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

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Performance scores

Aim54

Positioning66

Utility32

0–100 skill scores via Leetify.

Recent form

COLD44–50–6Last 10044%Win rateLLLTLLLLLL

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

Aim5.4

Aggression8.5

Utility3.2

Positioning6.6

Opening Duels4.3

Clutch4.2

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 donk 83% 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 55% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% 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

Aim5.4

Positioning6.6

Utility3.2

Mechanics2.1

Opening Duels4.3

Win Impact0.0

Composite 4.2/10 (Developing), 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 rating0.01+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time564ms+20ms

first ⅓ avg 545ms → last ⅓ avg 564ms

Headshot accuracy14.1%−1.2%

first ⅓ avg 15.3% → last ⅓ avg 14.1%

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.

Highlights

0.14Best rating — jura 7–13

13–4Biggest win — overpass

5Longest win streak

L3Current streak

6–7In matches decided by ≤2 rounds

16Overtime games

Map breakdown

nukeBest map · 75% over 8overpassWeakest map · 23% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	10–13	43%	0.01
anubis	D	22	7–15	32%	-0.00
overpass	D	13	3–10	23%	0.00
ancient	B	10	5–5	50%	0.01
inferno	S	10	7–3	70%	0.03
nuke	S	8	6–2	75%	0.02
cache	—	4	0–4	0%	0.01
dust2	—	4	2–2	50%	0.02
jura	—	2	1–1	50%	0.09
train	—	2	2–0	100%	0.06
vertigo	—	2	1–1	50%	0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,424Matches

51%Win rate

1.14Avg K/D

73.8ADR

30%Headshot %

Clutches & streaks

41%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	194	53%	0.97	14.6
Anubis	156	53%	0.97	14.4
Inferno	88	49%	1.08	15.9
Ancient	86	57%	1.05	15.8
Nuke	30	50%	0.95	14.1
Vertigo	20	50%	0.98	14.7
Overpass	18	61%	1.11	16.0
Dust2	17	35%	0.79	13.1

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.

14.5%Headshot accuracy

35.5%Accuracy (enemy spotted)

41.0%Spray accuracy

59.4%Counter-strafing

10.3°Preaim

567msReaction time

39.3%T opening success

55.2%CT opening success

0.44Enemies flashed / flash

4.5%Flash assists

9.44HE damage / grenade

3.11Flashes / 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 14.5004% — 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 0.4377 — 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 39.2794% — below the 40% mark we flag

Spend your practice time on Overpass

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	14–16	0.10	15%	8 May →
anubis	8–13	0.05	28%	8 May →
cache	8–13	0.03	14%	6 May →
cache	12–12	0.01	15%	6 May →
overpass	10–13	0.03	23%	3 May →
mirage	10–13	0.02	10%	2 May →
overpass	10–13	0.03	12%	1 May →
cache	7–13	0.01	13%	29 Apr →
cache	8–13	0.00	11%	26 Apr →
anubis	12–16	-0.03	13%	24 Apr →
mirage	7–13	-0.04	10%	23 Apr →
mirage	13–11	0.02	17%	23 Apr →
overpass	11–13	0.09	10%	23 Apr →
anubis	5–13	-0.09	7%	22 Apr →
overpass	13–6	0.03	12%	22 Apr →
ancient	14–16	0.04	19%	22 Apr →
ancient	2–13	-0.02	10%	22 Apr →
overpass	13–4	0.03	26%	21 Apr →
anubis	10–13	-0.00	11%	15 Apr →
nuke	13–8	0.05	13%	14 Apr →
anubis	5–13	-0.02	9%	14 Apr →
overpass	7–13	-0.02	6%	14 Apr →
overpass	9–13	-0.01	12%	13 Apr →
overpass	13–11	0.06	13%	13 Apr →
ancient	13–11	0.01	19%	13 Apr →
nuke	13–6	0.04	12%	12 Apr →
anubis	3–13	-0.05	13%	12 Apr →
dust2	13–6	0.05	18%	10 Apr →
overpass	13–16	-0.02	21%	8 Apr →
anubis	13–4	0.09	16%	8 Apr →
anubis	15–15	0.01	9%	8 Apr →
anubis	8–13	-0.07	10%	7 Apr →
ancient	8–13	0.01	18%	7 Apr →
nuke	1–13	-0.03	19%	6 Apr →
ancient	1–13	-0.05	11%	4 Apr →
mirage	8–13	-0.03	25%	3 Apr →
anubis	8–13	-0.01	6%	3 Apr →
overpass	13–16	0.03	15%	1 Apr →
inferno	13–6	-0.04	18%	30 Mar →
anubis	6–2	-0.05	7%	30 Mar →
ancient	13–6	-0.03	6%	30 Mar →
mirage	13–9	-0.01	6%	30 Mar →
overpass	15–15	-0.03	11%	29 Mar →
mirage	6–13	-0.05	5%	28 Mar →
inferno	15–15	0.05	17%	28 Mar →
mirage	13–8	-0.06	11%	23 Mar →
inferno	3–13	-0.07	24%	23 Mar →
anubis	11–13	0.03	19%	23 Mar →
dust2	13–4	0.07	14%	22 Oct →
nuke	13–10	-0.00	20%	24 Sept →
overpass	15–15	0.03	21%	22 Sept →
ancient	13–4	0.06	7%	26 Jul →
jura	7–13	0.14	14%	2 Jun →
inferno	13–11	0.10	16%	22 May →
jura	13–9	0.03	17%	22 May →
mirage	13–7	0.03	19%	20 May →
anubis	5–13	-0.01	6%	19 May →
anubis	16–14	0.01	12%	18 May →
train	13–11	0.11	13%	16 May →
mirage	11–13	-0.01	16%	16 May →
train	13–9	0.00	18%	16 May →
nuke	13–10	0.07	13%	16 May →
mirage	13–5	-0.03	16%	16 May →
inferno	13–6	0.09	14%	16 May →
mirage	13–7	0.03	15%	16 May →
dust2	9–13	0.03	8%	16 May →
mirage	9–13	-0.02	16%	15 May →
anubis	4–13	-0.04	9%	15 May →
anubis	16–12	0.03	16%	15 May →
anubis	13–6	0.04	11%	15 May →
vertigo	3–13	-0.07	15%	15 May →
mirage	7–13	-0.03	13%	14 May →
anubis	13–4	0.04	15%	14 May →
nuke	13–10	0.02	13%	14 May →
dust2	12–16	-0.07	7%	13 May →
ancient	13–6	0.00	23%	13 May →
inferno	13–10	0.09	8%	13 May →
inferno	13–10	0.01	22%	13 May →
anubis	14–16	-0.00	13%	13 May →
mirage	14–16	-0.01	20%	13 May →
anubis	8–13	-0.01	10%	13 May →
inferno	13–9	0.02	13%	12 May →
mirage	16–13	0.00	13%	11 May →
anubis	6–13	-0.01	21%	11 May →
mirage	7–13	0.01	26%	11 May →
nuke	13–10	-0.04	17%	10 May →
inferno	13–10	0.02	10%	10 May →
mirage	13–8	0.06	25%	10 May →
ancient	13–8	0.01	11%	10 May →
mirage	13–9	0.11	9%	10 May →
nuke	9–13	0.02	14%	10 May →
inferno	10–13	0.03	14%	10 May →
mirage	13–6	0.05	23%	10 May →
mirage	7–13	0.05	15%	10 May →
ancient	15–15	0.02	13%	10 May →
vertigo	9–3	0.13	16%	10 May →
mirage	2–13	0.03	13%	9 May →
anubis	13–10	0.02	10%	9 May →
overpass	2–9	-0.23	33%	9 May →
mirage	8–13	-0.03	15%	9 May →