Snapper — CS2 Stats

76561198018591933[U:1:58326205]Steam profile ↗✓ No bans

343Tracked matches46%Win rate2020Tracked since

1,973Hours in CS8Hrs last 2 wks

CSDB Rating5.3 DevelopingAggressive Rifler

WingmanMaster Guardian II

Ladder ranks via Leetify

Performance scores

Aim71

Positioning59

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateWTLLLLLWWW

Last 10 vs previous 10: +0pp win rate · -0.05 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.1

Aggression9.0

Utility3.7

Positioning5.9

Opening Duels4.0

Clutch4.4

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.

Your pro match

Plays most like ropz 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: higher opening-fight frequency; 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Positioning5.9

Utility3.7

Mechanics4.5

Opening Duels4.0

Win Impact3.7

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time543ms−105ms

first ⅓ avg 648ms → last ⅓ avg 543ms

Headshot accuracy15.6%−0.7%

first ⅓ avg 16.3% → last ⅓ avg 15.6%

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

0.20Best rating — vertigo 13–0

13–0Biggest win — vertigo

5Longest win streak

5–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 71% over 7overpassWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	14	7–7	50%	-0.02
mirage	B	13	6–7	46%	-0.01
vertigo	B	12	6–6	50%	0.01
dust2	D	11	3–8	27%	-0.02
cache	C	9	4–5	44%	0.01
nuke	B	8	4–4	50%	0.00
inferno	S	7	5–2	71%	0.00
anubis	C	7	3–4	43%	-0.03
overpass	D	5	1–4	20%	-0.02
shelter	—	4	2–2	50%	-0.00
fachwerk	—	3	2–1	67%	-0.01
train	—	2	0–2	0%	0.05
boulder	—	1	1–0	100%	-0.03
italy	—	1	0–1	0%	0.00
eldorado	—	1	1–0	100%	0.17
debris	—	1	1–0	100%	0.02
office	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,161Lifetime kills

1.10K/D · Top 50% of tracked players

2,997Matches

43.2%Match win rate

40.0%Headshot %

18.6%Shot accuracy · Top 10% of tracked players

6,867MVPs

1,229Hours (in match)

3,630Bombs planted

724Bombs defused

Most-used weapons

AK-4719,174

M4A4 / M4A1-S15,653

AWP3,718

P2000 / USP-S3,498

Glock-182,762

FAMAS2,046

Desert Eagle1,449

Galil AR1,255

P2501,242

PP-Bizon1,207

Lifetime map wins

5,602dust2

3,581inferno

2,304nuke

1,009vertigo

963train

763cbble

101office

45italy

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

Faceit stats

Combat

57Matches

54%Win rate

1.10Avg K/D

77.9ADR

42%Headshot %

Clutches & streaks

42%1v1 clutch win

27%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	4	50%	1.12	15.5
Inferno	3	100%	1.43	16.0
Nuke	3	67%	1.02	15.3
Anubis	2	100%	1.23	18.0
Mirage	2	50%	1.20	25.0
Dust2	2	100%	1.18	17.0
Cache	1	0%	0.88	15.0
Vertigo	1	100%	0.86	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.

14.8%Headshot accuracy

37.4%Accuracy (enemy spotted)

42.1%Spray accuracy

70.5%Counter-strafing

9.9°Preaim

532msReaction time

44.3%T opening success

47.3%CT opening success

0.34Enemies flashed / flash

6.9%Flash assists

7.29HE damage / grenade

2.91Flashes / 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 14.8415% — 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 0.3351 — below the 0.5 mark we flag
Grenade Lineups →

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.

20% win rate across 5 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
boulder	13–10	-0.03	14%	27 Aug →
italy	12–12	0.00	10%	27 Aug →
mirage	1–13	-0.03	17%	27 Aug →
dust2	2–13	-0.08	11%	27 Aug →
cache	9–13	-0.06	4%	27 Aug →
fachwerk	5–13	-0.03	14%	26 Aug →
cache	11–13	0.00	14%	20 Aug →
dust2	13–7	0.04	23%	19 Aug →
dust2	13–10	-0.05	10%	19 Aug →
vertigo	13–4	-0.03	19%	19 Aug →
dust2	10–13	-0.03	11%	18 Aug →
cache	6–13	-0.02	21%	18 Aug →
cache	12–12	0.05	14%	15 Aug →
cache	13–9	0.03	19%	15 Aug →
cache	13–7	0.06	19%	14 Aug →
vertigo	6–13	0.09	17%	14 Aug →
nuke	0–13	-0.01	8%	14 Aug →
mirage	12–12	0.02	5%	14 Aug →
shelter	5–1	0.03	13%	14 Aug →
fachwerk	13–7	-0.00	32%	14 Aug →
cache	13–7	0.02	13%	13 Aug →
train	12–12	0.07	14%	13 Aug →
fachwerk	13–8	0.01	16%	13 Aug →
cache	13–4	0.04	20%	12 Aug →
ancient	8–13	-0.06	12%	12 Aug →
vertigo	13–6	0.07	12%	12 Aug →
shelter	11–13	-0.01	8%	12 Aug →
shelter	11–13	-0.01	21%	12 Aug →
overpass	7–13	-0.00	12%	12 Aug →
eldorado	9–0	0.17	23%	10 Aug →
debris	9–4	0.02	22%	10 Aug →
vertigo	0–11	-0.02	36%	7 Aug →
vertigo	13–2	0.04	12%	7 Aug →
shelter	13–5	-0.01	13%	7 Aug →
vertigo	13–5	0.07	14%	7 Aug →
inferno	13–9	-0.01	9%	7 Aug →
anubis	3–13	-0.08	12%	6 Aug →
nuke	13–4	0.01	14%	6 Aug →
office	7–13	-0.03	12%	6 Aug →
dust2	10–13	-0.04	14%	5 Aug →
mirage	6–13	-0.01	8%	5 Aug →
vertigo	2–13	-0.10	15%	5 Aug →
vertigo	6–13	-0.07	11%	5 Aug →
vertigo	1–13	-0.07	10%	5 Aug →
ancient	8–13	-0.05	10%	31 Jul →
ancient	13–6	-0.05	14%	29 Jul →
cache	3–13	-0.05	11%	29 Apr →
inferno	13–5	0.05	16%	12 Apr →
anubis	9–13	-0.02	18%	7 Apr →
ancient	13–16	0.01	13%	4 Apr →
overpass	13–11	-0.06	15%	2 Apr →
anubis	13–3	-0.03	29%	1 Apr →
dust2	6–13	-0.01	14%	1 Apr →
nuke	1–13	-0.06	14%	31 Mar →
overpass	15–15	-0.04	17%	25 Mar →
overpass	9–13	0.02	13%	22 Mar →
anubis	13–10	-0.05	10%	21 Mar →
ancient	13–8	0.04	14%	20 Mar →
ancient	8–13	-0.05	18%	19 Mar →
anubis	1–9	-0.05	17%	19 Mar →
ancient	16–13	-0.06	19%	18 Mar →
anubis	9–13	-0.05	19%	15 Mar →
ancient	13–11	0.04	14%	13 Mar →
mirage	4–13	-0.08	28%	13 Mar →
nuke	13–3	0.12	23%	13 Mar →
overpass	11–13	0.00	20%	12 Mar →
inferno	7–13	-0.05	13%	7 Feb →
mirage	6–0	0.01	25%	7 Feb →
mirage	5–13	-0.02	17%	25 Dec →
inferno	13–9	0.02	16%	16 Jul →
dust2	13–9	0.04	12%	16 Jul →
ancient	15–15	0.00	7%	12 Jul →
mirage	13–4	0.05	17%	11 Jul →
mirage	13–10	0.03	11%	11 Jul →
mirage	13–16	-0.07	18%	10 Jul →
nuke	14–16	-0.04	15%	10 Jul →
mirage	16–14	-0.00	11%	10 Jul →
dust2	10–13	0.03	13%	8 Jul →
ancient	5–13	-0.08	17%	7 Jul →
inferno	13–8	0.03	28%	7 Jul →
dust2	2–13	-0.08	15%	7 Jul →
nuke	13–9	-0.06	16%	19 Jan →
inferno	5–13	-0.06	13%	3 Jan →
mirage	13–6	-0.05	13%	30 Dec →
dust2	15–15	-0.03	23%	30 Dec →
inferno	13–3	0.05	13%	30 Dec →
ancient	10–13	-0.03	10%	30 Dec →
vertigo	11–13	-0.02	17%	30 Dec →
train	11–13	0.02	19%	1 Dec →
nuke	4–13	0.03	17%	6 Nov →
ancient	16–14	0.04	15%	5 Nov →
nuke	13–7	0.03	15%	5 Nov →
vertigo	13–0	0.20	16%	24 Oct →
ancient	13–5	-0.01	5%	22 Oct →
anubis	13–6	0.04	19%	16 Oct →
dust2	8–13	-0.02	19%	13 Oct →
mirage	13–5	0.06	20%	13 Oct →
mirage	4–13	-0.07	22%	11 Oct →
vertigo	13–11	-0.01	26%	11 Oct →
ancient	13–0	0.04	19%	11 Oct →