D1am0nd — CS2 Stats

US76561198932920412[U:1:972654684]Steam profile ↗✓ No bans

1,153Tracked matches33%Win rate2020Tracked since

5,284Hours in CS17Hrs last 2 wks

CSDB Rating6.1 SolidEntry Fragger

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim81

Positioning71

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY43–48–9Last 10043%Win rateWLLLWTTWWL

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim8.1

Aggression10.0

Utility4.9

Positioning7.1

Opening Duels6.7

Clutch3.0

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 s1mple 92% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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 68% on CT to 46% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Positioning7.1

Utility4.9

Mechanics7.7

Opening Duels6.7

Win Impact0.0

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05−0.02

first ⅓ avg 0.07 → last ⅓ avg 0.05

Reaction time596ms−16ms

first ⅓ avg 612ms → last ⅓ avg 596ms

Headshot accuracy24.3%+0.5%

first ⅓ avg 23.7% → last ⅓ avg 24.3%

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

0.23Best rating — inferno 8–1

13–0Biggest win — mirage

4Longest win streak

7–11In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 64% over 11cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	22	12–10	55%	0.05
nuke	B	15	8–7	53%	0.06
inferno	C	11	4–7	36%	0.09
ancient	A	11	7–4	64%	0.08
anubis	C	11	4–7	36%	0.05
dust2	D	8	2–6	25%	0.06
vertigo	D	8	2–6	25%	0.05
cache	D	6	1–5	17%	0.02
train	—	4	0–4	0%	0.04
overpass	—	4	3–1	75%	0.10

Across the last 100 tracked matches.

Lifetime stats

246,434Lifetime kills

1.09K/D · Top 50% of tracked players

8,935Matches

45.1%Match win rate

54.0%Headshot % · Top 25% of tracked players

14.6%Shot accuracy · Top 50% of tracked players

42,242MVPs

4,690Hours (in match)

3,456Bombs planted

9,483Bombs defused

Most-used weapons

AK-4782,940

M4A4 / M4A1-S36,544

AWP33,966

Desert Eagle25,697

P2000 / USP-S16,264

Glock-188,164

SSG 085,940

Knife5,009

MP94,072

Negev3,625

Lifetime map wins

16,044inferno

13,758dust2

7,260nuke

6,636vertigo

5,291train

2,090cbble

758office

218lake

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

Faceit stats

Combat

321Matches

55%Win rate

1.26Avg K/D

85.3ADR

48%Headshot %

Clutches & streaks

35%1v1 clutch win

31%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	16	69%	1.35	16.6
Anubis	16	62%	1.15	16.6
Ancient	12	75%	1.31	18.8
Nuke	11	55%	1.45	20.3
Vertigo	10	60%	1.01	15.0
Inferno	8	12%	1.08	16.9
Dust2	2	0%	0.74	13.0
Overpass	2	50%	1.12	14.0

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.

24.4%Headshot accuracy

34.8%Accuracy (enemy spotted)

36.0%Spray accuracy

84.8%Counter-strafing

9.2°Preaim

586msReaction time

45.7%T opening success

67.7%CT opening success

0.55Enemies flashed / flash

10.8%Flash assists

8.03HE damage / grenade

5.10Flashes / match

Recommended for you

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–9	0.04	15%	26 Aug →
mirage	11–13	-0.03	11%	25 Aug →
inferno	7–13	-0.00	22%	25 Aug →
dust2	1–13	-0.05	22%	25 Aug →
ancient	13–3	0.05	31%	19 Aug →
dust2	15–15	0.01	22%	19 Aug →
inferno	12–12	0.05	43%	13 Aug →
mirage	13–5	0.13	25%	12 Aug →
nuke	13–11	0.16	28%	12 Aug →
nuke	9–13	0.12	29%	12 Aug →
dust2	2–13	0.06	45%	11 Aug →
nuke	7–13	0.18	20%	11 Aug →
mirage	8–13	0.07	22%	7 Aug →
nuke	4–13	0.00	19%	7 Aug →
mirage	13–10	0.04	18%	7 Aug →
vertigo	10–13	0.04	21%	6 Aug →
anubis	9–13	0.05	24%	6 Aug →
nuke	8–13	0.08	30%	5 Aug →
mirage	11–13	0.02	24%	4 Aug →
mirage	10–13	-0.00	18%	30 Jul →
mirage	9–13	0.03	46%	29 Jul →
vertigo	2–13	0.08	22%	29 Jul →
mirage	13–10	0.04	23%	23 Jul →
anubis	11–13	0.10	28%	22 Jul →
anubis	13–8	0.06	33%	21 Jul →
anubis	11–13	-0.01	21%	14 Jul →
dust2	11–13	0.09	18%	12 Jul →
mirage	13–0	0.03	9%	12 Jul →
ancient	15–15	0.02	18%	12 Jul →
ancient	13–2	0.05	25%	12 Jul →
mirage	13–10	0.02	23%	10 Jul →
anubis	6–13	0.12	15%	10 Jul →
nuke	13–7	0.06	25%	9 Jul →
vertigo	13–6	0.11	18%	9 Jul →
vertigo	6–13	-0.06	31%	8 Jul →
train	9–13	0.03	27%	8 Jul →
vertigo	9–13	0.07	20%	3 Jul →
dust2	12–16	0.01	23%	1 Jul →
overpass	13–6	0.15	29%	23 Jun →
train	5–13	-0.00	48%	23 Jun →
anubis	8–13	0.10	14%	10 Jun →
nuke	13–10	0.10	33%	2 Jun →
anubis	19–17	0.00	11%	29 May →
mirage	5–13	-0.02	6%	29 May →
ancient	14–16	0.09	19%	29 May →
train	9–13	0.04	21%	28 May →
mirage	13–3	0.04	27%	26 May →
mirage	13–5	0.08	28%	25 May →
inferno	12–12	0.04	29%	25 May →
mirage	7–13	0.05	29%	25 May →
cache	9–13	-0.03	24%	24 May →
dust2	15–15	0.13	39%	24 May →
mirage	13–8	0.08	15%	24 May →
cache	2–13	0.02	32%	23 May →
inferno	13–7	0.12	25%	23 May →
mirage	8–13	0.05	31%	23 May →
ancient	10–13	0.12	19%	22 May →
vertigo	3–1	0.10	63%	22 May →
inferno	8–1	0.23	28%	21 May →
nuke	13–11	0.01	25%	21 May →
overpass	15–15	0.02	22%	20 May →
overpass	13–8	0.04	21%	20 May →
nuke	13–11	0.06	26%	19 May →
nuke	8–13	-0.03	25%	19 May →
inferno	7–13	-0.02	11%	19 May →
vertigo	7–13	0.07	22%	18 May →
ancient	13–9	0.20	19%	15 May →
nuke	10–13	-0.00	30%	14 May →
overpass	13–6	0.17	22%	13 May →
mirage	11–13	0.12	32%	13 May →
ancient	13–5	0.11	17%	13 May →
mirage	2–6	0.12	41%	12 May →
mirage	13–8	0.15	25%	12 May →
nuke	13–8	0.07	25%	12 May →
ancient	13–10	0.03	21%	12 May →
mirage	13–11	0.07	20%	8 May →
train	12–12	0.11	24%	7 May →
inferno	9–5	0.16	23%	7 May →
dust2	13–11	0.18	22%	6 May →
nuke	13–2	-0.01	10%	6 May →
anubis	13–4	0.05	32%	6 May →
cache	12–12	-0.03	23%	5 May →
anubis	13–3	-0.01	21%	5 May →
anubis	11–13	0.09	23%	3 May →
inferno	12–12	0.12	17%	3 May →
ancient	13–9	0.08	23%	3 May →
ancient	11–13	0.07	23%	3 May →
nuke	9–13	-0.00	18%	1 May →
ancient	13–4	0.04	25%	1 May →
inferno	10–13	0.12	18%	1 May →
inferno	11–13	0.15	25%	30 Apr →
nuke	13–7	0.09	34%	30 Apr →
vertigo	7–13	-0.03	24%	29 Apr →
cache	8–13	0.10	29%	29 Apr →
cache	3–13	0.04	30%	29 Apr →
cache	13–8	0.03	15%	29 Apr →
anubis	11–13	0.04	21%	28 Apr →
mirage	13–3	0.03	24%	25 Apr →
dust2	13–4	0.02	31%	23 Apr →
inferno	9–2	0.06	15%	22 Apr →