dingusfarts29 — CS2 Stats

US76561198069166324[U:1:108900596]Steam profile ↗✓ No bans

950Tracked matches37%Win rate2021Tracked since

2,559Hours in CS10Hrs last 2 wks

CSDB Rating6.2 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim79

Positioning71

Utility69

0–100 skill scores via Leetify.

Recent form

COLD41–56–3Last 10041%Win rateWLLTWWLLLL

Last 10 vs previous 10: +10pp win rate · -0.03 avg rating

Player DNA

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

Aim7.9

Aggression9.3

Utility6.9

Positioning7.1

Opening Duels5.0

Clutch3.6

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 93% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Areas to improve

T-side openings. Opening success drops from 60% on CT to 40% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Positioning7.1

Utility6.9

Mechanics7.5

Opening Duels5.0

Win Impact0.7

Composite 6.2/10 (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 rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time602ms−34ms

first ⅓ avg 636ms → last ⅓ avg 602ms

Headshot accuracy19.6%+1.5%

first ⅓ avg 18.1% → last ⅓ avg 19.6%

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

0.18Best rating — dust2 13–1

13–0Biggest win — overpass

7Longest win streak

8–8In matches decided by ≤2 rounds

6Overtime games

Map breakdown

vertigoBest map · 60% over 5anubisWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	22	8–14	36%	0.03
dust2	C	17	7–10	41%	0.04
inferno	C	17	7–10	41%	0.03
ancient	C	10	4–6	40%	0.03
anubis	D	10	3–7	30%	0.02
cache	B	6	3–3	50%	0.05
nuke	B	6	3–3	50%	-0.01
vertigo	A	5	3–2	60%	0.04
overpass	—	3	1–2	33%	0.05
debris	—	1	0–1	0%	-0.07
poseidon	—	1	1–0	100%	0.09
train	—	1	0–1	0%	-0.01
office	—	1	1–0	100%	0.11

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

137,845Lifetime kills

1.39K/D · Top 10% of tracked players

3,910Matches

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

58.9%Headshot % · Top 10% of tracked players

12.0%Shot accuracy

8,796MVPs

2,684Hours (in match)

3,031Bombs planted

1,665Bombs defused

Most-used weapons

AK-4773,828

M4A4 / M4A1-S22,699

AWP8,240

P2000 / USP-S6,668

Desert Eagle4,906

Glock-183,226

P2501,550

Galil AR1,505

MP91,430

MAC-101,355

Lifetime map wins

7,658dust2

4,890inferno

1,978nuke

1,484vertigo

798train

279cbble

129office

84bank

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

Faceit stats

Combat

285Matches

54%Win rate

1.29Avg K/D

90.7ADR

46%Headshot %

Clutches & streaks

38%1v1 clutch win

29%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	64	59%	1.31	19.1
Anubis	46	48%	1.28	17.1
Inferno	39	44%	1.21	18.0
Mirage	36	47%	1.16	16.8
Dust2	29	45%	1.66	19.1
Nuke	29	66%	1.12	14.8
Vertigo	24	71%	1.34	18.0
Train	12	58%	1.28	18.2

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.

19.7%Headshot accuracy

37.4%Accuracy (enemy spotted)

41.3%Spray accuracy

83.6%Counter-strafing

10.0°Preaim

605msReaction time

40.3%T opening success

59.7%CT opening success

0.70Enemies flashed / flash

8.9%Flash assists

12.70HE damage / grenade

11.82Flashes / match

Recommended for you

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–11	-0.03	24%	23 Aug →
mirage	6–13	-0.05	15%	23 Aug →
ancient	6–13	-0.01	8%	19 Aug →
anubis	15–15	-0.04	14%	30 Jul →
mirage	13–11	0.05	20%	30 Jul →
ancient	13–9	0.01	15%	29 Jul →
ancient	8–13	0.04	21%	29 Jul →
cache	10–13	0.04	18%	28 Jul →
ancient	11–13	0.07	19%	22 Jul →
ancient	10–13	0.12	27%	21 Jul →
mirage	13–9	0.11	22%	21 Jul →
anubis	5–13	-0.01	16%	21 Jul →
ancient	1–13	-0.05	19%	19 Jul →
mirage	5–13	0.06	22%	18 Jul →
dust2	3–13	0.03	22%	18 Jul →
mirage	6–13	0.05	20%	18 Jul →
mirage	7–13	-0.00	15%	18 Jul →
dust2	8–13	0.12	16%	18 Jul →
cache	15–15	0.07	22%	16 Jul →
cache	13–9	0.11	27%	16 Jul →
dust2	6–13	0.04	30%	16 Jul →
anubis	13–4	0.06	24%	16 Jul →
debris	5–9	-0.07	22%	16 Jul →
inferno	6–9	0.03	13%	16 Jul →
vertigo	12–12	0.05	24%	14 Jul →
ancient	13–3	0.03	15%	14 Jul →
inferno	13–10	0.12	19%	14 Jul →
cache	9–13	0.04	20%	3 Jul →
cache	13–11	0.09	25%	28 Apr →
dust2	9–13	0.02	9%	25 Apr →
dust2	16–12	0.02	20%	3 Apr →
overpass	8–13	0.10	23%	1 Apr →
anubis	6–13	-0.03	20%	1 Apr →
dust2	13–6	0.05	11%	1 Apr →
nuke	7–9	-0.05	28%	29 Mar →
inferno	9–1	0.11	7%	29 Mar →
vertigo	9–7	0.04	17%	29 Mar →
poseidon	9–3	0.09	17%	29 Mar →
overpass	13–0	0.07	24%	29 Mar →
mirage	13–11	-0.04	22%	29 Mar →
anubis	11–13	0.08	19%	27 Mar →
nuke	13–10	0.00	23%	17 Mar →
mirage	9–13	-0.01	18%	11 Mar →
inferno	1–13	0.02	9%	22 Feb →
mirage	7–13	0.00	15%	22 Feb →
nuke	13–16	-0.03	15%	19 Feb →
dust2	13–10	0.09	19%	19 Feb →
mirage	13–10	0.03	25%	16 Feb →
anubis	13–6	0.09	27%	16 Feb →
dust2	7–13	-0.05	9%	16 Feb →
mirage	13–10	0.06	30%	9 Feb →
inferno	1–13	-0.06	13%	9 Feb →
inferno	9–13	0.04	16%	7 Feb →
dust2	10–13	0.03	16%	7 Feb →
inferno	4–13	0.00	24%	1 Feb →
dust2	11–8	0.11	13%	1 Feb →
inferno	13–8	0.00	30%	31 Jan →
nuke	13–10	0.01	18%	31 Jan →
ancient	8–13	0.00	14%	23 Jan →
mirage	9–13	0.04	23%	23 Jan →
anubis	6–13	0.00	23%	23 Jan →
dust2	13–9	0.02	19%	22 Jan →
mirage	16–13	0.02	16%	22 Jan →
anubis	13–8	0.05	11%	22 Jan →
inferno	13–10	0.01	8%	22 Jan →
dust2	13–1	0.18	16%	20 Jan →
inferno	13–10	0.10	18%	20 Jan →
mirage	13–0	0.11	31%	20 Jan →
mirage	11–13	0.09	16%	18 Jan →
dust2	3–13	-0.05	22%	17 Jan →
dust2	4–13	-0.03	26%	16 Jan →
nuke	8–13	-0.01	16%	16 Jan →
mirage	6–13	0.03	15%	15 Jan →
mirage	9–13	0.06	20%	15 Jan →
dust2	7–13	0.08	25%	12 Jan →
inferno	4–13	0.01	15%	12 Jan →
inferno	11–13	0.00	23%	11 Jan →
mirage	6–13	0.05	24%	11 Jan →
overpass	9–13	-0.03	25%	10 Jan →
nuke	16–14	0.01	19%	10 Jan →
inferno	9–13	0.04	19%	8 Jan →
mirage	9–13	-0.01	14%	8 Jan →
train	7–13	-0.01	17%	4 Jan →
mirage	10–13	-0.02	26%	4 Jan →
inferno	13–9	0.05	12%	3 Jan →
inferno	11–13	0.04	25%	31 Dec →
mirage	7–13	-0.07	12%	28 Dec →
ancient	13–6	0.06	17%	28 Dec →
inferno	13–4	0.00	12%	27 Dec →
vertigo	13–11	0.00	27%	18 Dec →
vertigo	4–13	-0.02	13%	18 Dec →
office	13–8	0.11	19%	17 Dec →
dust2	13–1	0.10	19%	17 Dec →
anubis	3–13	-0.06	6%	16 Dec →
anubis	11–13	0.06	9%	14 Dec →
vertigo	13–8	0.13	17%	14 Dec →
ancient	13–11	0.01	14%	14 Dec →
dust2	9–13	-0.02	16%	13 Dec →
inferno	11–13	0.08	12%	13 Dec →
mirage	13–9	0.05	15%	11 Dec →