D1mple — CS2 Stats

US76561198130916968[U:1:170651240]Steam profile ↗✓ No bans

611Tracked matches54%Win rate2020Tracked since

469Hours in CS

CSDB Rating5.1 Developing

Premier CS Rating21,200Pink band · top ~7.2% of ranked players (population est.)

CSDB Leaderboard#7636 of 21102 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanSilver I

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning41

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateWLLWWLWLWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim5.9

Aggression5.6

Utility4.9

Positioning4.1

Opening Duels1.1

Clutch3.2

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 NiKo 83% playstyle similarity

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

Where you differ: lower positioning profile; 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. 687ms 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

Aim5.9

Positioning4.1

Utility4.9

Mechanics6.0

Opening Duels1.1

Win Impact6.2

Composite 5.1/10 (Developing), 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 rating-0.03+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.03

Reaction time682ms−31ms

first ⅓ avg 713ms → last ⅓ avg 682ms

Headshot accuracy22.7%−0.6%

first ⅓ avg 23.3% → last ⅓ avg 22.7%

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

0.07Best rating — nuke 10–4

13–0Biggest win — inferno

7Longest win streak

9–13In matches decided by ≤2 rounds

4Overtime games

Map breakdown

overpassBest map · 50% over 10nukeWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	12–14	46%	-0.04
inferno	C	24	10–14	42%	-0.02
overpass	B	10	5–5	50%	-0.02
anubis	C	10	4–6	40%	-0.02
nuke	D	9	2–7	22%	-0.01
dust2	C	9	4–5	44%	-0.03
ancient	—	4	1–3	25%	-0.04
cache	—	3	3–0	100%	-0.03
vertigo	—	2	1–1	50%	-0.03
train	—	2	0–2	0%	-0.03
office	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,082Lifetime kills

0.75K/D

1,413Matches

35.9%Match win rate

44.6%Headshot %

11.3%Shot accuracy

1,961MVPs

469Hours (in match)

800Bombs planted

178Bombs defused

Most-used weapons

AK-475,861

M4A4 / M4A1-S3,591

AWP2,228

Desert Eagle1,677

P2000 / USP-S965

Glock-18775

FAMAS533

MP9431

Galil AR405

MAC-10286

Lifetime map wins

1,879inferno

1,374dust2

798nuke

590train

529vertigo

43italy

42office

35lake

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

Faceit stats

Combat

64Matches

58%Win rate

0.93Avg K/D

72.2ADR

50%Headshot %

Clutches & streaks

36%1v1 clutch win

13%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	9	67%	0.91	13.8
Anubis	7	71%	1.08	14.3
Inferno	6	67%	0.98	14.5
Nuke	4	75%	1.02	16.5
Ancient	2	50%	0.79	13.5
Overpass	2	50%	0.93	14.0
Train	2	50%	0.80	9.5
Dust2	1	100%	0.56	9.0

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.

22.9%Headshot accuracy

31.6%Accuracy (enemy spotted)

35.9%Spray accuracy

77.0%Counter-strafing

10.0°Preaim

687msReaction time

30.9%T opening success

38.3%CT opening success

0.59Enemies flashed / flash

3.0%Flash assists

5.72HE 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 30.9145% — below the 40% mark we flag

Spend your practice time on Nuke

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–4	-0.04	8%	22 May →
nuke	11–13	-0.06	17%	22 May →
mirage	10–13	0.02	20%	22 May →
inferno	13–7	0.00	26%	22 May →
inferno	13–4	-0.02	31%	22 May →
overpass	6–13	-0.05	25%	22 May →
cache	13–11	-0.02	24%	22 May →
anubis	3–13	-0.10	40%	21 May →
inferno	16–14	-0.03	27%	20 May →
nuke	6–13	-0.06	17%	20 May →
inferno	2–13	-0.09	23%	20 May →
mirage	15–15	-0.05	32%	20 May →
overpass	10–13	-0.03	15%	20 May →
cache	13–10	-0.04	13%	5 May →
cache	13–3	-0.02	26%	5 May →
mirage	11–13	-0.05	17%	1 May →
mirage	16–13	-0.05	26%	30 Apr →
mirage	13–8	-0.00	31%	29 Apr →
mirage	11–13	0.01	34%	27 Apr →
nuke	10–4	0.07	37%	27 Apr →
inferno	13–7	-0.05	25%	27 Apr →
mirage	13–6	-0.08	21%	27 Apr →
mirage	9–13	-0.02	17%	25 Apr →
ancient	2–13	-0.03	21%	25 Apr →
anubis	13–11	-0.02	16%	25 Apr →
nuke	12–12	0.04	25%	25 Apr →
overpass	1–13	-0.04	21%	25 Apr →
mirage	13–8	-0.03	16%	25 Apr →
anubis	8–13	-0.02	21%	25 Apr →
overpass	13–4	0.01	16%	25 Apr →
inferno	9–13	-0.05	18%	25 Apr →
mirage	16–12	-0.04	18%	25 Apr →
inferno	9–13	0.05	26%	20 Apr →
inferno	13–7	0.02	39%	18 Apr →
inferno	7–13	-0.06	26%	17 Apr →
overpass	13–8	-0.03	32%	16 Apr →
overpass	13–8	0.03	27%	16 Apr →
mirage	13–6	0.02	41%	16 Apr →
dust2	13–10	0.04	29%	15 Apr →
inferno	13–3	0.04	19%	15 Apr →
anubis	13–11	-0.02	29%	15 Apr →
dust2	7–8	-0.01	32%	15 Apr →
overpass	9–13	-0.05	19%	15 Apr →
nuke	8–13	0.03	32%	14 Apr →
nuke	7–13	-0.05	55%	14 Apr →
anubis	13–4	0.06	20%	13 Apr →
mirage	13–8	-0.07	12%	13 Apr →
anubis	8–13	-0.02	22%	12 Apr →
mirage	11–13	-0.07	37%	12 Apr →
dust2	5–13	-0.05	32%	12 Apr →
overpass	13–10	0.03	17%	12 Apr →
mirage	13–5	0.01	24%	10 Apr →
anubis	13–6	0.00	19%	10 Apr →
inferno	13–4	0.07	40%	10 Apr →
inferno	11–13	-0.06	16%	9 Apr →
mirage	11–13	-0.09	29%	8 Apr →
inferno	10–13	-0.02	17%	7 Apr →
mirage	11–13	-0.02	26%	7 Apr →
dust2	13–8	-0.06	31%	4 Apr →
inferno	13–7	0.04	26%	3 Apr →
anubis	8–13	-0.01	13%	3 Apr →
mirage	6–13	-0.03	24%	3 Apr →
dust2	4–13	-0.04	21%	2 Apr →
mirage	6–13	-0.04	50%	1 Apr →
dust2	10–13	-0.04	20%	1 Apr →
anubis	11–13	-0.00	31%	1 Apr →
inferno	6–13	-0.05	67%	1 Apr →
dust2	5–13	-0.04	43%	29 Mar →
train	8–13	-0.07	30%	29 Mar →
inferno	7–13	-0.06	27%	26 Mar →
mirage	8–13	-0.06	16%	25 Mar →
train	7–13	0.00	20%	22 Mar →
nuke	7–13	-0.01	21%	22 Mar →
ancient	11–13	0.02	13%	22 Mar →
vertigo	12–12	-0.03	24%	22 Mar →
office	11–13	-0.05	38%	22 Mar →
inferno	11–13	-0.04	24%	19 Mar →
mirage	13–11	-0.04	16%	12 Mar →
mirage	13–11	-0.03	36%	6 Mar →
overpass	13–8	-0.02	21%	1 Mar →
overpass	9–13	-0.00	28%	24 Feb →
mirage	7–13	-0.06	25%	24 Feb →
inferno	5–13	-0.04	13%	24 Feb →
inferno	13–2	0.06	19%	23 Feb →
nuke	6–0	0.01	18%	22 Feb →
inferno	8–13	-0.01	14%	22 Feb →
mirage	2–13	-0.09	19%	22 Feb →
anubis	10–13	-0.04	42%	22 Feb →
mirage	11–13	-0.05	22%	22 Feb →
mirage	13–11	-0.03	13%	18 Feb →
dust2	13–11	0.01	22%	18 Feb →
inferno	5–13	-0.05	29%	18 Feb →
inferno	13–0	0.02	22%	18 Feb →
inferno	3–13	-0.08	17%	11 Feb →
nuke	3–13	-0.06	27%	11 Feb →
dust2	10–13	-0.05	9%	6 Feb →
ancient	13–7	-0.06	16%	6 Feb →
inferno	11–13	-0.02	31%	6 Feb →
mirage	13–4	0.02	27%	6 Feb →
ancient	8–13	-0.09	25%	6 Feb →