Snarkki — CS2 Stats

FI76561197985217608[U:1:24951880]Steam profile ↗✓ No bans

3,825Tracked matches40%Win rate2020Tracked since

9,710Hours in CS70Hrs last 2 wks

CSDB Rating6.0 SolidPositional Player

Premier CS Rating24,787Top 25% of 213,399 CSDB-tracked playersPink band · top ~3.2% of ranked players (population est.)

CSDB Leaderboard#25402 of 259982 tracked

FaceitLevel 10 · 2,071 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 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: 24,787 +2,922 1 Sept – 2 Nov · 22 days played

Faceit ELO: 2,071 +0 1 Sept – 20 Sept · 2 observations

26,214Peak Premier in tracked matches

2,071Highest Faceit ELO seen on CSDB

21Days played since 2026-09-01

Faceit ELO

At peak — 2,071
Next: 2,500 ELO at 2,500 — 429 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7
Level 10 first seen 2026-09-01
Level 9 first seen 2026-09-01

Premier CS Rating

1,084 below peak (25,871)
+1,538 over 30 days · improving
Next: Red band at 25,000 — 213 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-09-01
Purple band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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	Level 10 median
Headshot rate	51.8%	50.9%
Shot accuracy	18.6%	13.7%
Kill/death ratio	0.80	1.09
Match win rate	41.8%	48.4%

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Performance scores

Aim70

Positioning67

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateWLWLWLLLWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +3.9pp headshot accuracy · −57ms 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 0.02
Avg headshot accuracy 21%
Avg reaction 519ms

Last 10

4–6 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 21%
Avg reaction 519ms

Last 20

9–11 · 45% win rate
Avg rating 0.01
Avg headshot accuracy 19%
Avg reaction 547ms

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 (+1.4 against its own average).

Aim7.0

Utility5.2

Positioning6.7

Opening Duels4.4

Clutch4.8

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 m0NESY 86% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 79% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 79% on T to 47% on CT — first contacts on the defending side are being lost.

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

Aim7.0

Positioning6.7

Utility5.2

Mechanics5.0

Opening Duels7.2

Win Impact1.7

Composite 6.0/10 (Solid), 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 0.02 → last ⅓ avg 0.01

Reaction time534ms+14ms

first ⅓ avg 520ms → last ⅓ avg 534ms

Headshot accuracy18.6%−0.9%

first ⅓ avg 19.5% → last ⅓ avg 18.6%

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.

Personal bests

0.14Best match rating · 13–2 · anubis, 21 Oct →

38%Best headshot accuracy · 11–13 · nuke, 23 Sept →

367msFastest reaction time · 13–4 · inferno, 26 Oct →

13–2Biggest win · anubis, 21 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak

9–14In matches decided by ≤2 rounds

16Overtime games

Map breakdown

anubisBest map · 64% over 11nukeWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	21	10–11	48%	0.01
inferno	C	16	6–10	38%	0.01
nuke	D	15	4–11	27%	0.02
cache	A	13	8–5	62%	-0.00
mirage	A	12	7–5	58%	0.01
anubis	A	11	7–4	64%	0.04
ancient	C	10	4–6	40%	0.01
rush_001	—	1	1–0	100%	0.02
vertigo	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

374,864Lifetime kills

0.80K/D

10,863Matches

41.8%Match win rate

51.8%Headshot % · Top 50% of Level 10 players

18.6%Shot accuracy · Top 10% of Level 10 players

26,509MVPs

16,140Hours (in match)

8,554Bombs planted

2,156Bombs defused

Most-used weapons

AK-47176,638

AWP60,591

M4A4 / M4A1-S38,835

Desert Eagle29,269

P2000 / USP-S21,766

Glock-188,107

FAMAS4,168

P2504,158

Galil AR3,787

SSG 083,424

Lifetime map wins

26,151nuke

13,904inferno

8,964dust2

7,771train

3,759vertigo

2,300cbble

439office

140assault

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

Faceit stats

Combat

1,640Matches

50%Win rate

1.10Avg K/D

83.3ADR

42%Headshot %

Clutches & streaks

44%1v1 clutch win

18%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	119	47%	1.03	16.1
Ancient	116	53%	1.02	14.9
Nuke	111	59%	1.25	16.7
Inferno	104	44%	1.09	16.5
Vertigo	60	45%	0.98	15.9
Dust2	45	42%	0.95	15.1
Mirage	44	45%	1.02	16.9
Train	23	61%	1.13	16.7

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.

18.1%Headshot accuracy

37.2%Accuracy (enemy spotted)

40.9%Spray accuracy

72.3%Counter-strafing

11.5°Preaim

535msReaction time

78.7%T opening success

47.4%CT opening success

0.65Enemies flashed / flash

7.1%Flash assists

8.82HE damage / grenade

7.84Flashes / match

Recommended for you

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.

27% win rate across 15 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
dust2	13–3	0.04	33%	2 Nov →
dust2	7–13	0.03	22%	2 Nov →
cache	16–14	0.01	13%	2 Nov →
anubis	11–13	0.02	15%	1 Nov →
nuke	13–10	0.02	19%	1 Nov →
ancient	10–13	0.04	21%	1 Nov →
nuke	14–16	-0.01	22%	1 Nov →
cache	5–13	-0.01	29%	1 Nov →
mirage	13–7	0.04	24%	1 Nov →
mirage	10–13	-0.04	15%	1 Nov →
nuke	16–12	0.05	11%	30 Oct →
dust2	2–13	-0.04	24%	30 Oct →
cache	13–9	-0.02	22%	30 Oct →
nuke	7–13	-0.03	18%	30 Oct →
cache	12–16	-0.04	13%	30 Oct →
ancient	13–6	0.07	15%	30 Oct →
nuke	13–5	0.06	9%	30 Oct →
anubis	8–13	-0.01	20%	30 Oct →
cache	5–13	0.04	16%	30 Oct →
dust2	13–11	-0.01	27%	30 Oct →
dust2	11–13	0.10	16%	30 Oct →
ancient	13–3	0.05	17%	30 Oct →
dust2	10–13	0.09	17%	28 Oct →
dust2	4–13	-0.01	26%	28 Oct →
mirage	8–13	-0.01	16%	27 Oct →
nuke	11–13	-0.04	16%	27 Oct →
anubis	5–13	-0.04	16%	27 Oct →
dust2	6–13	0.00	21%	26 Oct →
inferno	13–4	-0.02	16%	26 Oct →
dust2	13–11	-0.02	10%	26 Oct →
cache	13–8	-0.02	24%	26 Oct →
nuke	8–13	-0.01	17%	25 Oct →
cache	13–6	0.01	17%	25 Oct →
dust2	13–3	0.03	22%	23 Oct →
cache	5–4	0.01	25%	23 Oct →
anubis	11–13	-0.03	16%	23 Oct →
inferno	13–7	0.06	13%	23 Oct →
inferno	7–13	-0.06	13%	23 Oct →
nuke	13–10	0.05	17%	23 Oct →
nuke	14–16	-0.02	17%	22 Oct →
anubis	13–5	0.04	33%	22 Oct →
ancient	11–13	0.02	9%	22 Oct →
dust2	13–7	-0.04	12%	22 Oct →
dust2	13–7	-0.02	13%	22 Oct →
rush_001	8–7	0.02	32%	22 Oct →
nuke	10–13	0.02	9%	22 Oct →
inferno	9–5	0.10	24%	22 Oct →
inferno	13–6	0.07	23%	21 Oct →
mirage	13–8	0.00	24%	21 Oct →
anubis	13–10	-0.05	11%	21 Oct →
ancient	13–4	-0.01	16%	21 Oct →
inferno	13–9	0.00	12%	21 Oct →
anubis	13–2	0.03	22%	21 Oct →
inferno	8–13	0.03	20%	21 Oct →
mirage	13–3	0.02	16%	21 Oct →
dust2	8–13	-0.03	22%	21 Oct →
anubis	13–2	0.14	8%	21 Oct →
dust2	2–13	-0.07	29%	16 Oct →
inferno	10–13	-0.04	12%	16 Oct →
cache	3–13	0.00	6%	16 Oct →
mirage	13–6	-0.06	10%	16 Oct →
nuke	13–16	0.02	19%	16 Oct →
nuke	13–16	-0.01	22%	16 Oct →
inferno	16–14	-0.03	16%	16 Oct →
dust2	13–8	0.03	24%	14 Oct →
inferno	12–16	0.11	22%	9 Oct →
ancient	5–13	-0.02	15%	9 Oct →
inferno	14–16	0.04	24%	8 Oct →
dust2	16–13	0.04	17%	8 Oct →
dust2	8–13	0.12	28%	8 Oct →
dust2	13–4	0.00	13%	8 Oct →
nuke	14–16	-0.00	18%	8 Oct →
inferno	11–13	0.05	30%	3 Oct →
cache	11–13	0.00	14%	3 Oct →
vertigo	16–14	-0.04	17%	2 Oct →
mirage	13–5	0.11	23%	2 Oct →
dust2	2–13	-0.09	20%	1 Oct →
mirage	11–13	0.03	24%	1 Oct →
inferno	5–13	-0.06	14%	1 Oct →
mirage	14–16	-0.02	10%	1 Oct →
dust2	13–8	0.02	34%	30 Sept →
anubis	13–2	0.13	13%	30 Sept →
cache	13–9	0.03	21%	30 Sept →
inferno	8–13	-0.00	23%	30 Sept →
nuke	15–15	0.03	22%	25 Sept →
ancient	8–13	-0.06	13%	25 Sept →
mirage	16–14	-0.02	12%	25 Sept →
mirage	13–11	0.11	24%	25 Sept →
anubis	13–8	0.08	13%	25 Sept →
ancient	13–4	0.05	20%	25 Sept →
mirage	10–13	0.01	16%	23 Sept →
cache	13–7	0.06	18%	23 Sept →
nuke	11–13	0.09	38%	23 Sept →
inferno	4–13	-0.02	16%	23 Sept →
dust2	7–13	-0.04	11%	23 Sept →
ancient	7–13	-0.03	26%	23 Sept →
ancient	7–13	-0.04	20%	22 Sept →
anubis	13–7	0.11	23%	22 Sept →
inferno	3–10	-0.05	11%	22 Sept →
cache	7–1	-0.09	17%	22 Sept →