Snared — CS2 Stats

76561198152396045[U:1:192130317]

1,253Tracked matches55%Win rate2023Tracked since

CSDB Rating5.4 Developing

Premier CS Rating24,368Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning51

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY50–44–6Last 10050%Win rateLWWLLWLLWW

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

Player DNA

Aim5.9

Aggression8.1

Utility4.2

Positioning5.1

Opening Duels3.7

Clutch6.0

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 85% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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 57% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 658ms 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

Aim5.9

Positioning5.1

Utility4.2

Mechanics5.7

Opening Duels3.7

Win Impact6.7

Composite 5.4/10 (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 rating0.04+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time661ms+23ms

first ⅓ avg 638ms → last ⅓ avg 661ms

Headshot accuracy27.1%+3.1%

first ⅓ avg 24.0% → last ⅓ avg 27.1%

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

0.16Best rating — cache 13–4

13–2Biggest win — cache

8Longest win streak

12–9In matches decided by ≤2 rounds

6Overtime games

Map breakdown

anubisBest map · 60% over 10dust2Weakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	23	13–10	57%	0.04
mirage	A	19	11–8	58%	0.00
ancient	B	13	7–6	54%	0.04
anubis	A	10	6–4	60%	0.02
dust2	D	9	3–6	33%	-0.01
inferno	D	9	3–6	33%	0.02
overpass	B	8	4–4	50%	0.00
nuke	C	7	3–4	43%	-0.01
train	—	2	0–2	0%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

68Matches

63%Win rate

1.24Avg K/D

87.5ADR

55%Headshot %

Clutches & streaks

50%1v1 clutch win

22%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	71%	1.29	18.6
Nuke	9	56%	1.15	13.9
Inferno	8	75%	1.15	19.9
Ancient	8	62%	0.99	15.4
Anubis	7	57%	1.19	18.0
Train	6	50%	1.99	19.7
Dust2	5	60%	0.95	14.8
Overpass	1	100%	1.41	24.0

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.

26.4%Headshot accuracy

30.0%Accuracy (enemy spotted)

32.7%Spray accuracy

75.8%Counter-strafing

10.5°Preaim

658msReaction time

32.2%T opening success

57.1%CT opening success

0.40Enemies flashed / flash

8.9%Flash assists

7.41HE damage / grenade

5.27Flashes / 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.

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 0.4015 — 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 32.1873% — below the 40% mark we flag

Spend your practice time on Dust 2

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	11–13	-0.03	24%	28 Jul →
anubis	13–6	0.07	26%	28 Jul →
cache	13–11	-0.02	16%	28 Jul →
ancient	10–13	0.07	35%	30 May →
dust2	4–13	0.01	25%	30 May →
cache	13–3	0.14	16%	21 May →
ancient	10–13	0.08	19%	21 May →
cache	5–13	-0.07	38%	17 May →
cache	13–10	0.04	27%	16 May →
cache	13–7	0.04	26%	16 May →
cache	13–11	0.06	22%	15 May →
cache	13–8	0.13	20%	15 May →
cache	13–10	-0.01	27%	14 May →
overpass	13–11	0.02	27%	12 May →
cache	13–7	-0.01	30%	10 May →
cache	13–8	0.01	44%	10 May →
cache	6–13	0.01	29%	10 May →
cache	13–7	0.11	32%	10 May →
cache	7–13	-0.03	27%	10 May →
cache	12–12	0.06	25%	6 May →
cache	13–2	0.12	44%	6 May →
cache	11–13	0.04	35%	6 May →
cache	10–13	0.08	28%	6 May →
dust2	10–13	0.02	22%	5 May →
mirage	13–6	0.07	27%	5 May →
nuke	11–13	-0.01	24%	5 May →
cache	8–13	0.05	18%	4 May →
cache	13–9	0.13	18%	4 May →
cache	5–13	0.05	31%	4 May →
ancient	13–6	0.00	17%	4 May →
dust2	12–12	-0.02	21%	3 May →
cache	1–13	-0.06	38%	2 May →
cache	13–4	0.16	36%	2 May →
cache	8–13	-0.04	18%	28 Apr →
dust2	7–13	-0.02	28%	28 Apr →
mirage	13–8	0.03	22%	28 Apr →
mirage	16–14	0.03	11%	28 Apr →
inferno	7–13	0.06	28%	27 Apr →
mirage	15–15	0.00	31%	27 Apr →
inferno	13–3	0.03	18%	27 Apr →
train	7–13	-0.03	16%	27 Apr →
inferno	8–13	-0.06	16%	26 Apr →
overpass	13–6	-0.01	29%	26 Apr →
ancient	13–11	-0.03	12%	26 Apr →
anubis	11–13	-0.06	15%	23 Apr →
mirage	13–4	-0.02	20%	22 Apr →
mirage	8–13	-0.09	14%	22 Apr →
ancient	13–3	0.07	29%	22 Apr →
nuke	9–13	-0.02	24%	21 Apr →
anubis	13–5	-0.02	25%	21 Apr →
ancient	13–9	0.06	32%	21 Apr →
anubis	13–11	-0.01	18%	21 Apr →
mirage	9–13	-0.04	27%	20 Apr →
dust2	2–13	-0.12	9%	20 Apr →
mirage	15–15	-0.03	22%	19 Apr →
ancient	13–7	0.06	29%	19 Apr →
dust2	13–11	-0.00	40%	15 Mar →
mirage	13–9	0.08	33%	1 Feb →
mirage	5–13	-0.04	20%	1 Feb →
mirage	13–4	-0.03	21%	1 Feb →
ancient	13–9	-0.01	18%	1 Feb →
inferno	13–10	-0.00	33%	1 Feb →
anubis	13–10	0.00	19%	1 Feb →
mirage	13–8	-0.01	17%	26 Jan →
overpass	13–5	-0.02	18%	26 Jan →
inferno	13–11	0.11	42%	26 Jan →
anubis	5–13	0.05	16%	26 Jan →
mirage	13–11	0.00	28%	26 Jan →
dust2	8–13	-0.01	23%	26 Jan →
nuke	13–7	-0.03	17%	26 Jan →
anubis	13–5	0.11	30%	25 Jan →
inferno	7–13	0.01	19%	25 Jan →
mirage	13–11	0.04	40%	25 Jan →
ancient	13–9	0.04	28%	25 Jan →
overpass	9–13	-0.02	26%	25 Jan →
anubis	13–10	0.04	33%	25 Jan →
overpass	13–4	0.02	24%	25 Jan →
anubis	11–13	0.08	26%	24 Jan →
mirage	15–15	-0.02	25%	24 Jan →
nuke	8–13	-0.04	23%	24 Jan →
ancient	6–13	0.05	28%	19 Jan →
overpass	11–13	0.04	15%	17 Jan →
mirage	13–11	0.03	21%	17 Jan →
ancient	15–15	0.04	17%	17 Jan →
inferno	11–13	0.05	28%	17 Jan →
inferno	9–13	0.03	24%	12 Jan →
dust2	13–11	0.00	12%	12 Jan →
dust2	13–7	0.03	27%	12 Jan →
nuke	13–10	-0.00	14%	12 Jan →
nuke	13–9	0.09	27%	11 Jan →
overpass	8–13	0.04	21%	10 Jan →
mirage	5–13	-0.01	29%	10 Jan →
mirage	5–13	-0.02	22%	5 Jan →
inferno	13–16	-0.01	21%	5 Jan →
nuke	10–13	-0.03	33%	5 Jan →
ancient	11–13	0.02	26%	5 Jan →
overpass	9–13	-0.04	23%	4 Jan →
ancient	8–13	0.01	17%	4 Jan →
train	11–13	0.06	24%	4 Jan →
mirage	13–10	0.02	21%	4 Jan →