Grape Denim — CS2 Stats

76561197968666067[U:1:8400339]Steam profile ↗✓ No bans

2,520Tracked matches48%Win rate2020Tracked since

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating22,539Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)

CSDB Leaderboard#6756 of 24417 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning63

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY42–44–14Last 10042%Win rateWTLTWWLWLL

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

Player DNA

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

Aim7.9

Aggression8.8

Utility6.5

Positioning6.3

Opening Duels3.6

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 jL 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 55% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim7.9

Positioning6.3

Utility6.5

Mechanics6.1

Opening Duels3.6

Win Impact4.3

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 rating0.04−0.00

first ⅓ avg 0.04 → last ⅓ avg 0.04

Reaction time588ms−16ms

first ⅓ avg 604ms → last ⅓ avg 588ms

Headshot accuracy18.4%+1.5%

first ⅓ avg 16.9% → last ⅓ avg 18.4%

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

0.17Best rating — overpass 13–1

13–1Biggest win — overpass

5Longest win streak

8–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

overpassBest map · 80% over 5cacheWeakest map · 33% over 21

Map	Grade	Played	Record	Win rate	Avg rating
cache	D	21	7–14	33%	0.02
nuke	D	18	6–12	33%	0.03
inferno	B	14	7–7	50%	0.03
ancient	A	14	8–6	57%	0.04
anubis	C	14	6–8	43%	0.04
overpass	S	5	4–1	80%	0.08
mirage	—	4	0–4	0%	0.04
vertigo	—	3	1–2	33%	0.05
warden	—	2	2–0	100%	0.10
dust2	—	2	0–2	0%	0.07
shelter	—	1	0–1	0%	0.06
boulder	—	1	1–0	100%	0.15
stronghold	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Faceit stats

Combat

95Matches

62%Win rate

1.44Avg K/D

81.7ADR

41%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	9	78%	1.15	16.1
Ancient	9	56%	1.39	22.2
Inferno	7	71%	1.04	13.3
Vertigo	4	50%	1.31	20.8
Nuke	3	33%	1.36	20.0

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.

18.4%Headshot accuracy

38.8%Accuracy (enemy spotted)

40.4%Spray accuracy

77.3%Counter-strafing

8.8°Preaim

585msReaction time

33.5%T opening success

55.4%CT opening success

0.52Enemies flashed / flash

9.5%Flash assists

18.75HE damage / grenade

5.63Flashes / 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 33.4816% — below the 40% mark we flag

Spend your practice time on Cache

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

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–10	0.08	14%	29 Aug →
inferno	15–15	0.01	18%	29 Aug →
nuke	11–13	0.03	15%	29 Aug →
nuke	15–15	0.02	19%	29 Aug →
cache	13–10	0.06	19%	23 Aug →
ancient	13–11	0.07	22%	23 Aug →
cache	2–13	-0.08	18%	23 Aug →
inferno	16–14	-0.00	17%	23 Aug →
ancient	5–13	-0.04	15%	23 Aug →
anubis	7–13	0.12	16%	22 Aug →
cache	7–13	0.05	23%	22 Aug →
ancient	13–8	0.10	9%	22 Aug →
inferno	8–13	-0.03	8%	22 Aug →
cache	11–13	0.04	25%	22 Aug →
mirage	3–13	0.04	18%	21 Aug →
cache	13–11	0.10	20%	21 Aug →
nuke	13–9	0.02	22%	21 Aug →
anubis	8–13	0.00	15%	21 Aug →
inferno	13–11	0.05	20%	21 Aug →
ancient	13–10	0.03	17%	13 Aug →
inferno	13–2	0.05	25%	13 Aug →
cache	3–13	-0.04	23%	13 Aug →
cache	12–12	0.09	23%	6 Aug →
shelter	4–13	0.06	18%	21 Jul →
boulder	13–5	0.15	22%	21 Jul →
ancient	7–13	0.03	22%	1 Jul →
ancient	15–15	0.04	10%	1 Jul →
nuke	12–16	0.06	22%	1 Jul →
inferno	16–13	0.03	14%	1 Jul →
cache	12–12	-0.02	27%	16 Jun →
inferno	12–12	0.05	16%	16 Jun →
warden	13–8	0.07	16%	2 Jun →
cache	13–11	0.04	20%	2 Jun →
anubis	13–11	0.06	5%	22 May →
nuke	13–5	0.08	22%	22 May →
inferno	2–13	0.01	15%	16 May →
mirage	5–13	0.00	16%	16 May →
cache	9–13	0.01	13%	16 May →
nuke	8–13	0.07	16%	16 May →
cache	7–13	-0.02	17%	16 May →
ancient	13–9	0.00	17%	16 May →
cache	8–13	0.02	16%	16 May →
cache	13–9	-0.02	13%	6 May →
cache	11–13	0.09	13%	6 May →
cache	12–12	0.01	13%	3 May →
nuke	4–13	0.02	8%	3 May →
cache	12–12	-0.02	9%	3 May →
cache	13–3	0.06	16%	3 May →
cache	3–13	-0.03	21%	3 May →
cache	13–4	0.01	14%	3 May →
cache	9–13	0.03	17%	29 Apr →
ancient	13–5	0.06	11%	27 Apr →
ancient	15–15	0.08	11%	21 Apr →
nuke	10–13	-0.03	17%	21 Apr →
anubis	2–13	-0.02	11%	21 Apr →
overpass	13–6	0.04	8%	18 Apr →
mirage	8–13	0.11	16%	18 Apr →
ancient	13–11	0.06	21%	18 Apr →
anubis	13–6	0.05	16%	18 Apr →
inferno	13–5	0.02	18%	9 Apr →
nuke	13–6	0.02	9%	9 Apr →
inferno	13–2	0.05	19%	8 Apr →
vertigo	5–13	0.00	30%	8 Apr →
vertigo	13–6	0.15	19%	8 Apr →
anubis	13–6	0.06	18%	1 Apr →
anubis	3–13	-0.06	17%	1 Apr →
nuke	12–12	0.09	18%	1 Apr →
nuke	11–13	0.04	19%	25 Mar →
anubis	13–5	0.16	9%	11 Mar →
vertigo	12–12	-0.02	13%	11 Mar →
overpass	9–13	0.01	18%	11 Mar →
anubis	6–13	0.03	17%	27 Feb →
ancient	13–11	0.02	9%	27 Feb →
anubis	15–15	-0.02	11%	26 Feb →
nuke	11–13	0.01	24%	26 Feb →
overpass	13–8	0.08	19%	26 Feb →
nuke	5–13	-0.06	14%	26 Feb →
overpass	13–1	0.17	21%	21 Feb →
mirage	1–13	0.00	24%	21 Feb →
inferno	11–13	0.00	13%	21 Feb →
nuke	13–7	-0.00	19%	21 Feb →
dust2	12–12	0.04	8%	21 Feb →
dust2	9–13	0.11	20%	14 Feb →
nuke	4–13	0.04	15%	14 Feb →
overpass	13–10	0.11	17%	14 Feb →
nuke	13–6	0.10	13%	14 Feb →
ancient	15–15	-0.00	14%	14 Feb →
anubis	13–6	0.03	16%	11 Feb →
ancient	13–8	0.10	18%	11 Feb →
nuke	8–13	-0.01	16%	10 Feb →
inferno	13–6	0.12	18%	10 Feb →
ancient	7–13	0.01	11%	10 Feb →
anubis	13–9	0.14	22%	10 Feb →
anubis	11–13	-0.01	18%	4 Feb →
stronghold	6–13	0.03	20%	4 Feb →
warden	13–5	0.14	23%	4 Feb →
anubis	5–13	-0.01	17%	4 Feb →
inferno	10–13	0.03	24%	4 Feb →
nuke	13–5	0.04	24%	3 Feb →
inferno	8–13	-0.03	14%	3 Feb →