Maple — CS2 Stats

US76561198060325494[U:1:100059766]Steam profile ↗✓ No bans

1,060Tracked matches59%Win rate2020Tracked since

2,100Hours in CS

CSDB Rating5.0 Developing

Ladder ranks via Leetify

Performance scores

Aim54

Positioning44

Utility40

0–100 skill scores via Leetify.

Recent form

HOT48–46–6Last 10048%Win rateWWTWTWWLWW

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating

Player DNA

Aim5.4

Aggression6.4

Utility4.0

Positioning4.4

Opening Duels2.9

Clutch0.0

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 82% 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

Reaction time. 621ms 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

Aim5.4

Positioning4.4

Utility4.0

Mechanics5.6

Opening Duels2.9

Win Impact8.1

Composite 5.0/10 (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+0.02

first ⅓ avg -0.02 → last ⅓ avg 0.01

Reaction time622ms−7ms

first ⅓ avg 628ms → last ⅓ avg 622ms

Headshot accuracy15.3%+3.4%

first ⅓ avg 11.9% → last ⅓ avg 15.3%

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

0.24Best rating — inferno 5–13

13–1Biggest win — cache

5Longest win streak

W2Current streak

11–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 86% over 7cacheWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	34	19–15	56%	-0.02
cache	D	12	4–8	33%	0.01
ancient	C	12	5–7	42%	-0.02
inferno	B	12	6–6	50%	0.02
mirage	C	10	4–6	40%	0.01
nuke	S	7	6–1	86%	0.03
anubis	D	6	2–4	33%	0.00
overpass	D	6	2–4	33%	-0.00
alpine	—	1	0–1	0%	0.07

Across the last 100 tracked matches.

Lifetime stats

83,958Lifetime kills

0.93K/D

5,027Matches

45.5%Match win rate

29.1%Headshot %

20.4%Shot accuracy · Top 5% of tracked players

11,603MVPs

2,100Hours (in match)

7,774Bombs planted

1,226Bombs defused

Most-used weapons

AK-4718,241

M4A4 / M4A1-S13,335

AWP10,327

SSG 088,983

P2000 / USP-S4,145

P2503,891

Desert Eagle3,433

Glock-182,545

Dual Berettas1,531

P901,498

Lifetime map wins

27,007dust2

7,690inferno

2,561cbble

1,163nuke

875train

258vertigo

75lake

40safehouse

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

Faceit stats

Combat

27Matches

44%Win rate

0.74Avg K/D

78.5ADR

25%Headshot %

Clutches & streaks

0%1v1 clutch win

40%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	3	0%	0.66	10.3
Inferno	2	0%	0.84	13.5
Cache	1	100%	0.60	9.0
Ancient	1	100%	1.33	16.0
Nuke	1	0%	0.35	6.0

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.

13.2%Headshot accuracy

35.1%Accuracy (enemy spotted)

35.6%Spray accuracy

75.2%Counter-strafing

10.6°Preaim

621msReaction time

37.2%T opening success

46.1%CT opening success

0.46Enemies flashed / flash

3.5%Flash assists

12.24HE damage / grenade

2.33Flashes / 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 13.249% — 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 0.4563 — 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 37.2379% — 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 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–8	0.04	17%	10 Aug →
cache	13–1	0.11	23%	10 Aug →
mirage	12–12	-0.01	26%	10 Aug →
nuke	13–11	0.03	18%	9 Aug →
cache	12–12	0.06	16%	9 Aug →
ancient	13–11	-0.02	15%	9 Aug →
inferno	16–14	0.06	13%	8 Aug →
inferno	8–13	-0.03	10%	29 Jul →
dust2	13–11	-0.04	12%	28 Jul →
cache	13–7	0.10	13%	19 Jul →
inferno	13–9	0.02	8%	19 Jul →
dust2	13–10	-0.03	10%	18 Jul →
cache	8–13	-0.01	20%	18 Jul →
mirage	3–13	-0.03	16%	18 Jul →
dust2	13–5	-0.03	3%	14 Jul →
dust2	9–13	-0.00	8%	13 Jul →
cache	7–13	-0.07	13%	13 Jul →
cache	12–0	0.09	4%	13 Jul →
nuke	16–14	-0.05	12%	11 Jul →
cache	11–13	-0.04	9%	8 Jul →
ancient	8–13	-0.04	7%	8 Jul →
nuke	2–0	0.16	100%	8 Jul →
mirage	13–2	0.11	13%	4 Jul →
mirage	9–13	-0.01	11%	4 Jul →
ancient	15–15	-0.02	8%	4 Jul →
dust2	13–4	0.12	14%	2 Jul →
ancient	10–13	0.08	16%	15 Jun →
dust2	8–13	-0.03	17%	15 Jun →
inferno	13–7	-0.02	18%	13 Jun →
dust2	8–13	-0.07	6%	13 Jun →
ancient	4–13	-0.08	15%	13 Jun →
mirage	0–13	-0.03	6%	13 Jun →
dust2	1–13	-0.07	6%	10 Jun →
dust2	4–13	-0.04	6%	10 Jun →
alpine	10–13	0.07	9%	8 Jun →
dust2	12–12	0.05	18%	8 Jun →
nuke	10–13	-0.07	5%	7 Jun →
dust2	13–6	0.07	22%	7 Jun →
cache	9–13	0.00	9%	7 Jun →
dust2	13–9	0.00	7%	3 Jun →
anubis	16–14	0.03	7%	2 Jun →
nuke	16–13	0.03	11%	31 May →
dust2	3–13	-0.06	0%	31 May →
inferno	5–13	0.24	9%	31 May →
anubis	6–13	0.00	2%	26 May →
dust2	13–6	0.00	21%	26 May →
mirage	15–15	-0.04	12%	22 May →
dust2	13–8	-0.03	10%	18 May →
nuke	13–6	-0.01	6%	18 May →
inferno	11–13	0.04	12%	17 May →
dust2	9–13	-0.08	13%	17 May →
dust2	13–7	-0.00	14%	17 May →
ancient	13–9	0.01	7%	17 May →
dust2	13–10	-0.05	6%	17 May →
anubis	13–8	0.05	8%	17 May →
ancient	13–8	0.01	12%	16 May →
ancient	6–13	-0.07	8%	16 May →
dust2	9–13	0.02	15%	16 May →
nuke	13–5	0.10	7%	15 May →
inferno	14–16	-0.07	10%	14 May →
inferno	13–8	0.00	6%	13 May →
anubis	1–13	-0.01	14%	10 May →
ancient	13–9	0.02	7%	10 May →
cache	8–13	0.01	10%	10 May →
mirage	13–3	0.05	22%	10 May →
mirage	13–11	0.01	5%	9 May →
inferno	13–8	0.04	16%	9 May →
mirage	5–13	-0.01	7%	9 May →
dust2	13–4	-0.02	8%	3 May →
inferno	9–13	-0.06	15%	3 May →
cache	2–13	-0.08	14%	3 May →
overpass	9–13	0.02	16%	2 May →
dust2	13–8	-0.01	15%	2 May →
anubis	4–13	-0.10	12%	2 May →
inferno	6–13	0.00	14%	2 May →
cache	13–4	0.04	19%	2 May →
cache	11–13	-0.02	13%	1 May →
ancient	10–13	-0.02	15%	27 Apr →
dust2	13–11	0.01	13%	27 Apr →
ancient	10–13	-0.05	8%	26 Apr →
anubis	8–13	0.03	6%	26 Apr →
overpass	4–13	-0.04	12%	26 Apr →
dust2	13–11	-0.02	13%	26 Apr →
dust2	11–13	-0.09	9%	25 Apr →
dust2	13–8	-0.01	6%	25 Apr →
dust2	14–16	-0.01	8%	25 Apr →
dust2	13–3	-0.01	16%	23 Apr →
inferno	13–10	-0.02	9%	23 Apr →
ancient	13–8	-0.02	4%	21 Apr →
dust2	5–13	0.01	12%	21 Apr →
dust2	8–3	0.00	24%	19 Apr →
dust2	11–13	0.01	7%	19 Apr →
overpass	13–11	0.02	16%	19 Apr →
dust2	1–13	-0.03	9%	19 Apr →
dust2	2–13	-0.03	12%	18 Apr →
overpass	13–7	0.01	12%	17 Apr →
overpass	15–15	0.00	4%	14 Apr →
mirage	13–8	0.02	21%	14 Apr →
dust2	13–9	-0.08	10%	14 Apr →
overpass	9–13	-0.03	11%	12 Apr →