snowman[A] — CS2 Stats

US76561198029217043[U:1:68951315]Steam profile ↗✓ No bans

2,599Tracked matches37%Win rate2021Tracked since

4,248Hours in CS41Hrs last 2 wks

CSDB Rating4.4 Developing

FaceitLevel 8 · 1,713 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim51

Positioning56

Utility59

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateLLWLWLLWLT

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim5.1

Aggression5.6

Utility5.9

Positioning5.6

Opening Duels2.5

Clutch3.4

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 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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 54% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms 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

Aim5.1

Positioning5.6

Utility5.9

Mechanics5.0

Opening Duels3.0

Win Impact0.7

Composite 4.4/10 (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 rating-0.01−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time592ms+14ms

first ⅓ avg 578ms → last ⅓ avg 592ms

Headshot accuracy17.6%+1.2%

first ⅓ avg 16.3% → last ⅓ avg 17.6%

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

0.17Best rating — dust2 13–4

13–1Biggest win — inferno

5Longest win streak

L2Current streak

13–15In matches decided by ≤2 rounds

19Overtime games

Map breakdown

anubisBest map · 70% over 10nukeWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	15–13	54%	0.03
mirage	C	17	7–10	41%	-0.01
inferno	C	14	6–8	43%	0.02
nuke	D	10	3–7	30%	-0.01
anubis	S	10	7–3	70%	-0.00
ancient	B	10	5–5	50%	0.00
cache	D	9	3–6	33%	0.00
vertigo	—	1	1–0	100%	0.00
overpass	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

94,554Lifetime kills

0.96K/D

5,905Matches

44.1%Match win rate

35.9%Headshot %

5.8%Shot accuracy

11,518MVPs

2,378Hours (in match)

5,499Bombs planted

1,400Bombs defused

Most-used weapons

AK-4720,991

AWP20,923

M4A4 / M4A1-S14,614

P9012,528

P2000 / USP-S6,660

Glock-185,600

Knife2,547

Desert Eagle1,197

Galil AR1,195

MP9971

Lifetime map wins

32,660dust2

5,039inferno

3,484nuke

2,138train

873vertigo

93aztec

85bank

75safehouse

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

Faceit stats

Combat

2,564Matches

49%Win rate

1.16Avg K/D

83.4ADR

41%Headshot %

Clutches & streaks

37%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	797	51%	1.27	18.2
Ancient	402	48%	1.16	17.1
Mirage	391	44%	1.06	15.9
Inferno	310	50%	1.12	15.5
Anubis	236	48%	1.11	15.9
Nuke	176	44%	1.06	15.9
Train	120	57%	1.18	17.1
Vertigo	59	59%	1.23	17.4

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.

16.5%Headshot accuracy

29.9%Accuracy (enemy spotted)

31.9%Spray accuracy

72.6%Counter-strafing

9.6°Preaim

591msReaction time

25.7%T opening success

54.2%CT opening success

0.59Enemies flashed / flash

1.4%Flash assists

10.85HE damage / grenade

8.14Flashes / 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 25.7199% — below the 40% mark we flag

Spend your practice time on Nuke

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	11–13	0.01	16%	27 Aug →
nuke	5–13	-0.02	21%	26 Aug →
anubis	13–11	-0.01	26%	26 Aug →
dust2	7–13	0.00	11%	18 Aug →
dust2	13–8	0.02	14%	17 Aug →
ancient	10–13	0.03	16%	17 Aug →
nuke	1–13	-0.07	20%	17 Aug →
dust2	13–3	0.06	20%	16 Aug →
inferno	3–13	-0.04	17%	14 Aug →
nuke	15–15	-0.06	16%	14 Aug →
inferno	10–13	0.03	19%	13 Aug →
dust2	10–13	-0.01	16%	8 Aug →
mirage	13–9	-0.03	11%	8 Aug →
dust2	0–13	-0.08	30%	7 Aug →
vertigo	13–11	0.00	14%	6 Aug →
anubis	8–13	0.01	16%	6 Aug →
dust2	13–7	0.02	17%	6 Aug →
mirage	9–13	0.01	24%	6 Aug →
mirage	16–14	-0.05	13%	3 Aug →
dust2	11–13	0.04	19%	3 Aug →
cache	11–13	-0.02	13%	3 Aug →
dust2	8–13	-0.06	11%	3 Aug →
inferno	15–15	-0.01	17%	30 Jul →
mirage	16–14	-0.01	28%	30 Jul →
dust2	13–6	0.04	16%	30 Jul →
cache	14–16	-0.04	12%	30 Jul →
mirage	11–13	-0.06	15%	29 Jul →
inferno	11–13	-0.06	3%	29 Jul →
dust2	16–13	-0.02	15%	28 Jul →
dust2	12–12	0.07	18%	26 Jul →
inferno	13–11	-0.03	37%	25 Jul →
dust2	6–13	-0.00	14%	24 Jul →
anubis	13–4	0.04	25%	24 Jul →
dust2	11–13	0.01	16%	23 Jul →
ancient	10–13	-0.02	17%	23 Jul →
inferno	10–13	-0.02	13%	12 Jul →
dust2	13–11	0.01	16%	9 Jul →
dust2	13–4	0.17	16%	9 Jul →
inferno	13–2	0.08	6%	8 Jul →
dust2	6–13	-0.05	20%	7 Jul →
mirage	13–3	0.02	12%	6 Jul →
cache	14–16	0.02	16%	6 Jul →
dust2	13–7	0.10	17%	6 Jul →
inferno	10–13	0.00	8%	5 Jul →
mirage	13–16	-0.03	16%	5 Jul →
mirage	13–6	0.06	17%	5 Jul →
mirage	8–13	-0.03	14%	4 Jul →
mirage	3–13	-0.00	22%	4 Jul →
inferno	8–13	-0.07	9%	4 Jul →
ancient	19–16	-0.03	12%	4 Jul →
anubis	13–11	-0.01	13%	3 Jul →
dust2	22–20	0.05	14%	1 Jul →
nuke	1–13	-0.04	13%	1 Jul →
ancient	10–13	-0.02	12%	1 Jul →
ancient	13–6	0.03	14%	1 Jul →
ancient	11–13	-0.01	17%	30 Jun →
inferno	8–13	-0.00	24%	30 Jun →
inferno	13–11	0.12	18%	30 Jun →
anubis	13–11	-0.01	18%	29 Jun →
mirage	10–13	-0.01	15%	29 Jun →
cache	16–13	-0.01	12%	29 Jun →
ancient	13–5	0.02	18%	28 Jun →
anubis	8–13	0.02	11%	28 Jun →
inferno	13–5	0.03	14%	26 Jun →
mirage	13–8	0.01	13%	25 Jun →
overpass	11–13	-0.03	14%	25 Jun →
dust2	13–4	0.10	19%	24 Jun →
mirage	6–13	-0.03	16%	24 Jun →
mirage	4–13	-0.09	27%	11 Jun →
inferno	13–1	0.13	8%	10 Jun →
anubis	13–11	-0.02	10%	8 Jun →
dust2	13–10	0.04	15%	7 Jun →
dust2	13–7	0.01	26%	7 Jun →
cache	3–13	0.00	10%	7 Jun →
cache	13–5	0.01	15%	7 Jun →
dust2	17–19	0.02	20%	7 Jun →
anubis	16–13	-0.00	10%	6 Jun →
mirage	11–13	-0.00	13%	6 Jun →
nuke	10–13	0.03	20%	4 Jun →
dust2	13–16	0.08	20%	3 Jun →
ancient	19–15	-0.01	8%	3 Jun →
dust2	13–4	0.03	19%	2 Jun →
cache	25–21	0.03	17%	31 May →
inferno	13–8	0.08	21%	31 May →
nuke	13–8	0.06	19%	30 May →
anubis	11–13	-0.00	14%	29 May →
dust2	4–13	0.02	24%	29 May →
nuke	13–8	-0.02	18%	23 May →
mirage	10–13	0.01	17%	23 May →
ancient	17–19	-0.03	14%	23 May →
cache	14–16	0.04	13%	23 May →
mirage	13–11	-0.00	12%	22 May →
nuke	13–10	0.09	23%	21 May →
anubis	13–9	-0.01	18%	21 May →
nuke	7–13	-0.10	9%	17 May →
dust2	16–13	0.02	26%	17 May →
ancient	13–11	0.09	17%	17 May →
dust2	13–7	0.08	15%	17 May →
dust2	9–13	-0.07	7%	13 May →
nuke	7–13	0.01	18%	13 May →