dge — CS2 Stats

GB76561198290318688[U:1:330052960]Steam profile ↗✓ No bans

1,510Tracked matches60%Win rate2020Tracked since

3,183Hours in CS7Hrs last 2 wks

CSDB Rating7.5 StrongAggressive Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim81

Positioning75

Utility70

0–100 skill scores via Leetify.

Recent form

HOT59–41Last 10059%Win rateWWWWWWWWWL

Last 10 vs previous 10: +40pp win rate · +0.05 avg rating

Player DNA

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

Aim8.1

Aggression10.0

Utility7.0

Positioning7.5

Opening Duels5.4

Clutch4.2

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 ZywOo 94% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Strengths

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 66% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 566ms 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

Positioning7.5

Utility7.0

Mechanics7.9

Opening Duels5.4

Win Impact8.3

Composite 7.5/10 (Strong), 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 rating0.05+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.05

Reaction time571ms−57ms

first ⅓ avg 628ms → last ⅓ avg 571ms

Headshot accuracy19.1%+0.4%

first ⅓ avg 18.7% → last ⅓ avg 19.1%

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

0.68Best rating — inferno 9–1

13–0Biggest win — mirage

9Longest win streak

W9Current streak

7–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 67% over 9ancientWeakest map · 50% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	28	17–11	61%	0.07
mirage	A	24	15–9	63%	0.05
nuke	B	15	8–7	53%	0.02
ancient	B	10	5–5	50%	0.01
dust2	S	9	6–3	67%	0.02
overpass	A	5	3–2	60%	0.03
debris	—	2	2–0	100%	-0.02
cache	—	2	1–1	50%	0.01
anubis	—	2	0–2	0%	-0.02
poseidon	—	1	1–0	100%	-0.03
vertigo	—	1	1–0	100%	0.03
train	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

77,879Lifetime kills

1.24K/D · Top 25% of tracked players

3,558Matches

47.5%Match win rate · Top 50% of tracked players

43.8%Headshot %

14.4%Shot accuracy · Top 50% of tracked players

10,748MVPs

1,515Hours (in match)

4,270Bombs planted

982Bombs defused

Most-used weapons

AK-4728,914

M4A4 / M4A1-S15,041

AWP8,244

P2000 / USP-S4,029

Desert Eagle3,830

Glock-183,154

FAMAS1,726

Galil AR1,650

P2501,281

MP91,145

Lifetime map wins

7,542inferno

3,104nuke

1,864dust2

804vertigo

688train

205cbble

53lake

29office

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

Faceit stats

Combat

1,001Matches

50%Win rate

1.25Avg K/D

89.0ADR

46%Headshot %

Clutches & streaks

41%1v1 clutch win

23%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	202	40%	1.26	17.8
Inferno	157	57%	1.26	18.0
Ancient	147	51%	1.25	18.5
Nuke	101	50%	1.33	18.9
Dust2	46	54%	1.04	15.6
Overpass	24	42%	1.09	17.2
Anubis	13	46%	1.27	18.4
Train	11	64%	1.18	19.6

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.

19.5%Headshot accuracy

37.1%Accuracy (enemy spotted)

37.8%Spray accuracy

85.7%Counter-strafing

9.5°Preaim

566msReaction time

37.0%T opening success

65.9%CT opening success

0.63Enemies flashed / flash

7.5%Flash assists

10.92HE damage / grenade

12.54Flashes / 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.

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 36.9549% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
debris	9–6	-0.04	10%	30 Aug →
debris	9–5	0.00	10%	30 Aug →
inferno	9–6	0.02	21%	30 Aug →
poseidon	9–4	-0.03	17%	30 Aug →
nuke	9–6	0.03	21%	30 Aug →
inferno	9–2	0.25	10%	28 Aug →
mirage	5–1	0.11	24%	28 Aug →
dust2	13–10	0.11	21%	26 Aug →
ancient	13–11	0.02	25%	17 Aug →
inferno	10–13	0.03	33%	17 Aug →
dust2	13–4	-0.01	10%	12 Aug →
inferno	13–7	0.03	30%	10 Aug →
mirage	9–13	-0.02	29%	10 Aug →
nuke	4–13	-0.04	12%	10 Aug →
cache	2–13	-0.07	17%	29 Jul →
dust2	10–13	0.01	18%	27 Jul →
dust2	13–9	-0.02	18%	15 Jul →
nuke	13–9	0.06	9%	15 Jul →
nuke	15–19	-0.01	15%	13 Jul →
dust2	13–11	0.11	23%	13 Jul →
inferno	6–13	0.04	20%	12 Jul →
cache	13–5	0.09	16%	9 Jul →
inferno	9–1	0.68	37%	9 Jul →
dust2	5–13	-0.02	32%	8 Jul →
inferno	13–6	0.07	23%	8 Jul →
mirage	8–13	-0.02	14%	8 Jul →
inferno	13–8	-0.01	31%	8 Jul →
inferno	22–18	0.05	16%	7 Jul →
mirage	13–5	0.17	12%	5 Jul →
anubis	10–13	-0.03	17%	28 Jun →
mirage	5–13	-0.05	8%	28 Jun →
mirage	13–6	-0.01	13%	23 Jun →
inferno	16–12	0.04	17%	23 Jun →
mirage	13–6	0.06	15%	22 Jun →
overpass	13–11	0.07	17%	22 Jun →
dust2	13–4	0.05	29%	22 Jun →
inferno	9–13	0.00	24%	16 Jun →
anubis	9–13	-0.01	25%	9 Jun →
dust2	13–5	0.01	24%	2 Jun →
overpass	1–13	-0.03	40%	1 Jun →
mirage	10–13	0.07	17%	18 May →
overpass	16–12	0.05	21%	22 Apr →
inferno	13–9	0.09	28%	20 Apr →
ancient	14–16	-0.01	14%	11 Apr →
inferno	11–13	0.05	24%	2 Apr →
overpass	13–8	0.03	23%	19 Mar →
mirage	8–13	0.02	25%	11 Mar →
nuke	7–13	-0.03	19%	9 Mar →
ancient	13–11	0.04	15%	9 Mar →
inferno	11–13	-0.01	23%	9 Mar →
inferno	9–13	0.00	24%	25 Feb →
mirage	13–4	0.04	15%	24 Feb →
mirage	13–7	0.01	29%	24 Feb →
dust2	9–13	-0.01	22%	24 Feb →
inferno	8–13	-0.01	16%	23 Feb →
inferno	13–8	0.05	44%	23 Feb →
mirage	3–13	-0.03	25%	19 Feb →
mirage	13–2	0.05	41%	4 Feb →
inferno	13–6	0.05	33%	4 Feb →
nuke	13–7	0.10	16%	3 Feb →
ancient	7–13	0.04	16%	28 Jan →
ancient	13–11	0.02	19%	27 Jan →
overpass	4–13	0.02	13%	27 Jan →
inferno	13–10	0.09	17%	27 Jan →
mirage	13–6	0.15	25%	27 Jan →
mirage	10–13	0.07	34%	27 Jan →
mirage	13–5	0.18	22%	27 Jan →
ancient	14–16	0.00	16%	22 Jan →
mirage	13–6	0.06	16%	22 Jan →
vertigo	9–4	0.03	17%	22 Jan →
nuke	3–9	-0.06	26%	22 Jan →
inferno	7–13	0.01	16%	21 Jan →
mirage	13–9	-0.00	16%	21 Jan →
mirage	4–13	0.02	27%	21 Jan →
nuke	13–6	0.07	24%	20 Jan →
mirage	13–10	0.09	23%	20 Jan →
train	1–13	0.03	25%	20 Jan →
inferno	16–12	0.08	21%	19 Jan →
nuke	5–13	-0.04	20%	16 Jan →
nuke	13–7	0.04	17%	16 Jan →
nuke	13–10	0.03	9%	14 Jan →
mirage	13–7	-0.00	10%	14 Jan →
inferno	13–5	0.10	8%	11 Jan →
inferno	8–13	0.03	18%	22 Dec →
mirage	13–0	0.09	24%	16 Dec →
inferno	16–14	0.01	15%	16 Dec →
ancient	13–11	0.02	33%	16 Dec →
nuke	13–8	0.07	15%	15 Dec →
inferno	7–13	0.04	10%	14 Dec →
ancient	6–13	-0.04	17%	11 Dec →
mirage	4–13	-0.02	26%	9 Dec →
ancient	11–13	0.05	21%	8 Dec →
ancient	13–7	0.00	16%	25 Nov →
inferno	13–9	0.06	21%	22 Nov →
nuke	13–4	0.06	24%	11 Nov →
inferno	11–13	0.03	12%	11 Nov →
mirage	13–5	0.12	15%	10 Nov →
nuke	11–13	0.05	21%	10 Nov →
inferno	13–7	0.03	20%	10 Nov →
nuke	9–13	0.00	18%	4 Nov →