skunch — CS2 Stats

US76561198271709229[U:1:311443501]Steam profile ↗

2,638Tracked matches57%Win rate2020Tracked since

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating21,703Pink band · top ~6.6% of ranked players (population est.)

CSDB Leaderboard#4833 of 13777 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning50

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateLLWLLWLWWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim8.1

Aggression6.8

Utility4.1

Positioning5.0

Opening Duels3.2

Clutch4.0

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 ropz 89% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 55% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim8.1

Positioning5.0

Utility4.1

Mechanics8.1

Opening Duels3.2

Win Impact7.2

Composite 6.4/10 (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 rating-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time590ms−4ms

first ⅓ avg 594ms → last ⅓ avg 590ms

Headshot accuracy15.7%+0.5%

first ⅓ avg 15.2% → last ⅓ avg 15.7%

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

0.11Best rating — cache 13–7

13–2Biggest win — cache

5Longest win streak

L2Current streak

18–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

infernoBest map · 70% over 10ancientWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	14–12	54%	-0.01
mirage	B	21	10–11	48%	0.01
cache	A	20	11–9	55%	0.00
inferno	S	10	7–3	70%	0.03
nuke	A	9	5–4	56%	-0.01
anubis	C	7	3–4	43%	0.00
ancient	D	6	2–4	33%	-0.02
vertigo	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

126Matches

54%Win rate

0.99Avg K/D

70.1ADR

40%Headshot %

Clutches & streaks

40%1v1 clutch win

19%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	32	50%	0.90	12.2
Dust2	22	55%	0.94	14.7
Anubis	15	53%	0.84	12.7
Inferno	14	57%	1.12	14.7
Nuke	12	67%	1.20	13.7
Ancient	10	60%	1.27	15.0
Vertigo	7	57%	0.90	12.9
Train	4	25%	1.14	15.8

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.

15.7%Headshot accuracy

36.6%Accuracy (enemy spotted)

41.0%Spray accuracy

86.3%Counter-strafing

8.3°Preaim

579msReaction time

30.2%T opening success

55.1%CT opening success

0.49Enemies flashed / flash

4.8%Flash assists

7.42HE damage / grenade

6.54Flashes / 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 0.489 — 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 30.1876% — below the 40% mark we flag

Spend your practice time on Ancient

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 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	7–13	0.02	15%	26 Aug →
mirage	8–13	0.02	16%	25 Aug →
dust2	13–11	-0.07	27%	21 Aug →
nuke	4–13	-0.02	37%	20 Aug →
anubis	6–13	-0.06	26%	20 Aug →
dust2	13–9	-0.02	13%	20 Aug →
mirage	6–13	-0.07	6%	19 Aug →
dust2	13–11	0.05	17%	19 Aug →
dust2	13–9	-0.05	17%	18 Aug →
mirage	13–11	-0.04	29%	18 Aug →
inferno	13–11	0.05	15%	18 Aug →
cache	7–13	-0.04	13%	18 Aug →
dust2	10–13	0.03	18%	18 Aug →
ancient	6–13	-0.06	10%	17 Aug →
dust2	3–13	-0.03	28%	16 Aug →
nuke	13–10	-0.07	17%	16 Aug →
mirage	16–14	-0.05	3%	16 Aug →
cache	13–2	0.04	18%	16 Aug →
dust2	8–13	-0.01	13%	16 Aug →
cache	16–14	-0.03	15%	16 Aug →
mirage	13–6	0.03	7%	16 Aug →
vertigo	9–4	-0.00	10%	15 Aug →
cache	13–11	-0.00	17%	15 Aug →
cache	11–13	-0.08	14%	13 Aug →
nuke	13–6	-0.01	9%	10 Aug →
inferno	13–6	0.03	14%	10 Aug →
dust2	13–8	0.09	20%	10 Aug →
mirage	13–5	0.02	11%	10 Aug →
dust2	16–12	-0.02	15%	10 Aug →
dust2	12–16	-0.04	6%	9 Aug →
cache	11–13	0.02	17%	9 Aug →
mirage	11–13	0.02	15%	9 Aug →
nuke	10–13	-0.06	11%	9 Aug →
cache	13–5	0.03	22%	9 Aug →
dust2	6–13	-0.02	6%	9 Aug →
dust2	8–13	-0.01	22%	9 Aug →
mirage	15–15	0.02	21%	9 Aug →
inferno	13–8	-0.03	17%	9 Aug →
mirage	15–15	0.02	15%	8 Aug →
cache	13–11	-0.03	9%	8 Aug →
nuke	9–13	-0.04	13%	8 Aug →
anubis	4–13	-0.06	18%	8 Aug →
dust2	13–5	-0.02	16%	7 Aug →
dust2	13–10	0.01	17%	7 Aug →
cache	13–6	0.02	13%	7 Aug →
nuke	8–13	-0.00	7%	7 Aug →
dust2	6–13	-0.06	10%	7 Aug →
inferno	6–13	-0.00	15%	7 Aug →
cache	13–5	0.06	23%	7 Aug →
cache	13–8	0.03	9%	5 Aug →
mirage	13–7	-0.02	9%	25 Jul →
dust2	9–13	-0.02	11%	20 Jul →
mirage	11–13	-0.01	10%	19 Jul →
anubis	13–8	0.01	12%	19 Jul →
dust2	7–13	-0.03	18%	19 Jul →
ancient	3–13	-0.06	17%	19 Jul →
dust2	3–13	-0.01	9%	18 Jul →
nuke	13–11	0.01	7%	18 Jul →
inferno	16–14	0.08	9%	18 Jul →
mirage	11–13	0.05	6%	17 Jul →
ancient	13–4	-0.02	10%	17 Jul →
dust2	15–15	-0.03	11%	17 Jul →
ancient	7–12	-0.00	35%	16 Jul →
ancient	9–0	-0.00	10%	16 Jul →
inferno	10–13	-0.05	6%	16 Jul →
nuke	13–8	-0.01	17%	15 Jul →
inferno	13–11	0.02	19%	14 Jul →
inferno	8–8	0.09	21%	14 Jul →
mirage	13–11	0.04	9%	14 Jul →
cache	11–13	-0.01	17%	14 Jul →
mirage	12–16	0.03	17%	13 Jul →
nuke	16–14	0.07	12%	13 Jul →
cache	13–4	0.06	12%	13 Jul →
anubis	11–13	-0.01	15%	13 Jul →
cache	9–13	-0.03	9%	13 Jul →
mirage	13–7	0.08	24%	12 Jul →
dust2	13–11	0.01	17%	12 Jul →
cache	11–13	-0.07	11%	12 Jul →
dust2	13–5	0.04	16%	11 Jul →
dust2	13–11	-0.01	12%	11 Jul →
anubis	10–13	-0.05	10%	11 Jul →
mirage	5–13	-0.01	12%	11 Jul →
cache	13–7	0.11	15%	11 Jul →
cache	13–16	-0.04	22%	11 Jul →
inferno	13–6	0.03	10%	11 Jul →
cache	15–15	0.05	12%	11 Jul →
dust2	16–12	0.07	16%	11 Jul →
mirage	13–9	0.06	21%	11 Jul →
dust2	13–6	0.01	15%	11 Jul →
cache	2–13	-0.05	16%	11 Jul →
inferno	13–3	0.06	14%	10 Jul →
mirage	13–2	0.03	11%	10 Jul →
dust2	7–13	-0.02	16%	10 Jul →
mirage	16–14	-0.02	10%	10 Jul →
anubis	13–7	0.09	24%	10 Jul →
cache	13–11	0.02	21%	10 Jul →
dust2	13–11	0.03	18%	10 Jul →
ancient	6–13	0.01	10%	10 Jul →
anubis	13–9	0.08	20%	10 Jul →
mirage	5–13	-0.08	16%	10 Jul →