snag — CS2 Stats

BR76561198129727993[U:1:169462265]Steam profile ↗

484Tracked matches53%Win rate2022Tracked since

3,609Hours in CS67Hrs last 2 wks

CSDB Rating5.6 SolidPassive Rifler

Premier CS Rating27,354Top 10% of 819 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)

CSDB Leaderboard#316 of 6612 tracked

FaceitLevel 8 · 1,068 ELOTop 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning37

Utility56

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLLLWLLWWWL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.1

Aggression1.6

Utility5.6

Positioning3.7

Opening Duels0.0

Clutch2.8

Strong CT-side opener

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 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower opening-fight frequency.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 35% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim7.1

Positioning3.7

Utility5.6

Mechanics6.1

Opening Duels0.6

Win Impact6.1

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time592ms−42ms

first ⅓ avg 634ms → last ⅓ avg 592ms

Headshot accuracy17.5%+1.2%

first ⅓ avg 16.3% → last ⅓ avg 17.5%

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

0.07Best rating — ancient 13–6

13–2Biggest win — dust2

4Longest win streak

L3Current streak

15–6In matches decided by ≤2 rounds

14Overtime games

Map breakdown

mirageBest map · 65% over 17anubisWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	33	21–12	64%	-0.01
ancient	B	17	9–8	53%	-0.02
mirage	S	17	11–6	65%	-0.02
inferno	C	9	4–5	44%	-0.03
nuke	A	9	5–4	56%	-0.02
cache	D	6	2–4	33%	-0.01
anubis	D	6	0–6	0%	-0.06
overpass	—	3	1–2	33%	-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

173,808Lifetime kills

1.04K/D

2,312Matches

46.6%Match win rate · Top 50% of tracked players

12.7%Headshot %

10.9%Shot accuracy

4,351MVPs

2,238Hours (in match)

1,762Bombs planted

607Bombs defused

Most-used weapons

AK-4719,417

M4A4 / M4A1-S9,188

AWP7,261

Desert Eagle2,944

P2000 / USP-S2,743

Glock-181,475

Galil AR1,050

AUG1,009

MP9963

P250885

Lifetime map wins

4,521inferno

4,453dust2

1,318nuke

1,168train

364vertigo

279cbble

122italy

100dust

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

Faceit stats

Combat

170Matches

59%Win rate

0.95Avg K/D

70.8ADR

50%Headshot %

Clutches & streaks

34%1v1 clutch win

21%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	68	62%	0.96	14.2
Mirage	29	52%	0.88	12.9
Ancient	26	54%	0.99	14.8
Nuke	15	40%	0.77	11.7
Inferno	12	75%	1.13	16.2
Anubis	9	78%	1.02	16.7
Cache	5	40%	0.96	16.2
Train	4	75%	1.04	18.0

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.

17.3%Headshot accuracy

35.6%Accuracy (enemy spotted)

37.7%Spray accuracy

77.5%Counter-strafing

9.5°Preaim

577msReaction time

13.3%T opening success

35.0%CT opening success

0.58Enemies flashed / flash

8.9%Flash assists

6.93HE damage / grenade

11.73Flashes / 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 13.343% — below the 40% mark we flag

Spend your practice time on Anubis

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	9–13	-0.03	27%	26 Aug →
cache	12–16	0.02	24%	26 Aug →
anubis	17–19	0.02	16%	25 Aug →
dust2	13–8	-0.02	15%	25 Aug →
dust2	5–13	-0.07	21%	22 Aug →
ancient	8–13	-0.03	19%	22 Aug →
inferno	13–3	0.02	16%	22 Aug →
dust2	13–2	0.01	28%	22 Aug →
ancient	13–6	-0.03	18%	22 Aug →
ancient	10–13	-0.05	10%	20 Aug →
dust2	3–13	-0.02	20%	16 Aug →
inferno	25–23	-0.05	11%	16 Aug →
dust2	13–10	-0.02	13%	16 Aug →
ancient	13–5	0.05	19%	12 Aug →
dust2	13–11	-0.03	21%	12 Aug →
dust2	7–13	0.02	13%	12 Aug →
anubis	3–13	-0.06	17%	9 Aug →
mirage	13–11	-0.03	18%	8 Aug →
dust2	13–2	0.05	25%	8 Aug →
inferno	8–13	-0.05	18%	8 Aug →
cache	13–8	-0.03	21%	8 Aug →
nuke	13–11	0.01	19%	8 Aug →
ancient	13–8	0.00	11%	8 Aug →
dust2	4–13	-0.04	13%	6 Aug →
mirage	7–13	-0.02	15%	6 Aug →
inferno	5–13	-0.10	12%	5 Aug →
dust2	6–13	-0.05	19%	5 Aug →
mirage	13–5	0.07	19%	5 Aug →
nuke	13–11	-0.00	14%	4 Aug →
dust2	13–3	-0.05	17%	4 Aug →
dust2	19–16	-0.07	16%	2 Aug →
nuke	8–13	-0.00	15%	1 Aug →
ancient	13–11	-0.02	17%	30 Jul →
dust2	13–11	0.01	14%	30 Jul →
cache	13–8	-0.04	17%	29 Jul →
mirage	13–8	-0.02	14%	29 Jul →
nuke	3–13	-0.07	27%	28 Jul →
dust2	7–13	-0.04	21%	28 Jul →
nuke	13–7	-0.01	30%	28 Jul →
mirage	13–6	-0.01	25%	28 Jul →
cache	11–13	-0.04	6%	27 Jul →
dust2	13–11	0.02	11%	25 Jul →
cache	1–8	-0.00	22%	16 Jul →
mirage	7–13	-0.06	30%	15 Jul →
dust2	13–5	0.01	28%	9 Jul →
mirage	13–3	0.01	7%	9 Jul →
cache	11–13	-0.00	12%	8 Jul →
ancient	13–8	-0.02	10%	8 Jul →
dust2	17–19	-0.05	12%	8 Jul →
mirage	13–2	0.06	16%	5 Jul →
dust2	13–7	0.02	34%	5 Jul →
mirage	8–13	-0.02	22%	5 Jul →
ancient	16–13	0.04	27%	5 Jul →
ancient	7–13	-0.08	22%	27 Jun →
nuke	13–7	-0.04	9%	24 Jun →
dust2	13–16	0.01	20%	24 Jun →
dust2	13–11	-0.04	25%	24 Jun →
inferno	13–11	-0.02	31%	23 Jun →
nuke	0–13	-0.05	22%	20 Jun →
dust2	13–11	0.07	32%	20 Jun →
ancient	13–6	0.07	16%	18 Jun →
ancient	14–16	-0.04	19%	17 Jun →
dust2	13–10	0.05	22%	17 Jun →
mirage	1–13	-0.03	9%	16 Jun →
ancient	15–15	0.07	20%	15 Jun →
ancient	7–13	-0.04	23%	15 Jun →
inferno	9–13	-0.05	3%	12 Jun →
anubis	9–13	-0.08	13%	12 Jun →
dust2	13–2	0.04	17%	11 Jun →
ancient	2–13	-0.01	18%	11 Jun →
dust2	16–14	-0.00	15%	11 Jun →
ancient	8–13	-0.03	26%	10 Jun →
dust2	19–17	0.02	20%	7 Jun →
overpass	0–9	-0.07	0%	6 Jun →
ancient	16–14	-0.08	15%	5 Jun →
dust2	10–13	-0.01	12%	4 Jun →
mirage	8–13	-0.06	17%	3 Jun →
anubis	10–13	-0.09	10%	30 May →
mirage	13–8	-0.00	8%	27 May →
mirage	13–6	-0.02	31%	27 May →
dust2	13–11	-0.03	13%	26 May →
mirage	13–10	-0.03	24%	26 May →
dust2	10–13	-0.01	19%	26 May →
overpass	5–13	0.03	31%	18 May →
anubis	3–13	-0.06	20%	18 May →
ancient	13–9	-0.07	14%	11 May →
inferno	13–9	-0.02	17%	11 May →
mirage	13–8	-0.03	19%	9 May →
inferno	11–13	-0.01	15%	8 May →
dust2	16–19	-0.08	17%	8 May →
dust2	13–3	-0.05	11%	5 May →
dust2	16–13	-0.02	19%	5 May →
dust2	13–8	-0.01	20%	4 May →
mirage	7–1	0.00	7%	4 May →
inferno	10–13	-0.03	11%	3 May →
nuke	6–13	0.01	22%	3 May →
mirage	0–13	-0.04	22%	3 May →
overpass	13–3	-0.09	0%	3 May →
nuke	13–8	0.02	10%	3 May →
anubis	4–13	-0.08	25%	3 May →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

100 Matches

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