dxlton — CS2 Stats

76561199225931752[U:1:1265666024]

1,286Tracked matches58%Win rate2024Tracked since

473Hours in CS

CSDB Rating6.0 SolidAggressive Rifler

Premier CS Rating14,592Blue band · top ~30.6% of ranked players (population est.)

CSDB Leaderboard#11576 of 17585 tracked

WingmanSilver II

Ladder ranks via Leetify

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Performance scores

Aim80

Positioning57

Utility37

0–100 skill scores via Leetify.

Recent form

COLD52–40–8Last 10052%Win rateLLLTWLWWLT

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

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

Aim8.0

Aggression9.4

Utility3.7

Positioning5.7

Opening Duels4.1

Clutch0.0

Limited utility dependence

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 device 89% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.0

Positioning5.7

Utility3.7

Mechanics7.3

Opening Duels4.1

Win Impact7.6

Composite 6.0/10 (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 rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time534ms−67ms

first ⅓ avg 600ms → last ⅓ avg 534ms

Headshot accuracy18.5%+1.6%

first ⅓ avg 16.9% → last ⅓ avg 18.5%

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

0.21Best rating — cache 13–9

13–2Biggest win — nuke

7Longest win streak

L3Current streak

10–5In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 82% over 11ancientWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	13	5–8	38%	0.01
vertigo	A	11	6–5	55%	-0.03
train	A	11	6–5	55%	-0.00
mirage	S	11	9–2	82%	0.02
dust2	S	10	8–2	80%	-0.01
nuke	C	9	4–5	44%	-0.00
ancient	D	8	2–6	25%	0.02
cache	B	8	4–4	50%	0.04
office	D	7	2–5	29%	-0.01
anubis	D	7	2–5	29%	-0.01
overpass	—	3	2–1	67%	-0.02
boulder	—	1	1–0	100%	0.09
fachwerk	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,626Lifetime kills

0.98K/D

1,354Matches

46.2%Match win rate

40.1%Headshot %

0.0%Shot accuracy

2,817MVPs

473Hours (in match)

1,274Bombs planted

321Bombs defused

Most-used weapons

AK-475,388

AWP3,842

M4A4 / M4A1-S2,846

XM10141,749

P2000 / USP-S1,371

Desert Eagle1,046

Glock-18970

SSG 08630

MP9371

MAC-10293

Lifetime map wins

2,450inferno

1,754vertigo

1,464nuke

1,069dust2

1,019train

443office

113italy

17ar_shoots

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

Faceit stats

Combat

3Matches

67%Win rate

1.20Avg K/D

81.1ADR

41%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	2	50%	1.26	15.5
Inferno	1	100%	1.06	18.0

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.

18.2%Headshot accuracy

33.8%Accuracy (enemy spotted)

42.0%Spray accuracy

82.8%Counter-strafing

8.9°Preaim

536msReaction time

47.5%T opening success

45.2%CT opening success

0.45Enemies flashed / flash

3.9%Flash assists

9.88HE damage / grenade

4.93Flashes / 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.

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 0.4498 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	8–13	-0.05	15%	26 Aug →
office	6–13	-0.00	8%	26 Aug →
nuke	1–13	-0.06	18%	26 Aug →
ancient	12–12	0.01	8%	25 Aug →
dust2	13–10	-0.04	8%	25 Aug →
inferno	10–13	-0.01	25%	23 Aug →
train	13–10	-0.02	26%	20 Aug →
vertigo	13–10	0.04	11%	19 Aug →
inferno	5–13	-0.02	19%	19 Aug →
office	12–12	-0.03	20%	18 Aug →
ancient	10–13	-0.03	14%	18 Aug →
train	6–13	-0.03	11%	18 Aug →
ancient	5–13	0.03	19%	16 Aug →
anubis	3–13	0.06	11%	16 Aug →
inferno	13–11	0.05	15%	16 Aug →
train	13–9	0.01	32%	16 Aug →
train	13–6	-0.03	14%	15 Aug →
nuke	13–11	0.04	23%	15 Aug →
office	12–12	0.00	31%	15 Aug →
vertigo	11–13	-0.06	8%	15 Aug →
inferno	13–11	0.04	15%	15 Aug →
train	13–10	0.06	29%	15 Aug →
ancient	13–9	-0.01	18%	7 Aug →
dust2	13–8	-0.01	20%	7 Aug →
dust2	4–13	-0.01	41%	6 Aug →
inferno	13–7	-0.05	12%	6 Aug →
vertigo	13–8	0.00	10%	6 Aug →
train	13–3	-0.01	19%	5 Aug →
nuke	12–12	-0.05	26%	5 Aug →
dust2	13–7	0.01	23%	5 Aug →
vertigo	10–13	-0.03	18%	5 Aug →
office	13–5	0.02	37%	5 Aug →
cache	13–11	-0.04	10%	5 Aug →
inferno	10–13	-0.03	18%	5 Aug →
inferno	13–7	0.09	33%	4 Aug →
mirage	13–10	0.05	25%	3 Aug →
cache	6–13	0.02	37%	1 Aug →
inferno	11–13	0.08	28%	1 Aug →
nuke	13–2	0.10	16%	1 Aug →
anubis	13–8	0.02	22%	1 Aug →
inferno	4–13	0.03	13%	1 Aug →
cache	9–13	0.02	26%	31 Jul →
cache	13–9	0.21	17%	31 Jul →
inferno	1–8	0.04	33%	31 Jul →
cache	8–13	0.06	22%	31 Jul →
nuke	13–8	-0.02	11%	31 Jul →
inferno	12–12	-0.01	14%	31 Jul →
office	13–6	0.02	14%	30 Jul →
mirage	13–10	-0.03	13%	30 Jul →
train	12–12	-0.04	27%	30 Jul →
mirage	13–11	0.01	18%	29 Jul →
vertigo	13–11	-0.00	15%	29 Jul →
vertigo	13–6	-0.01	13%	29 Jul →
dust2	13–7	-0.06	7%	29 Jul →
dust2	13–3	-0.05	11%	29 Jul →
anubis	13–6	0.05	16%	28 Jul →
dust2	13–9	0.05	20%	28 Jul →
vertigo	0–13	-0.08	9%	27 Jul →
mirage	13–5	0.07	21%	27 Jul →
nuke	9–13	-0.04	19%	25 Jul →
cache	13–10	-0.04	9%	25 Jul →
boulder	13–11	0.09	19%	24 Jul →
mirage	13–10	0.03	15%	24 Jul →
office	2–13	-0.04	0%	24 Jul →
mirage	4–13	0.00	9%	24 Jul →
vertigo	13–8	-0.06	13%	24 Jul →
anubis	7–13	-0.05	20%	24 Jul →
overpass	13–7	0.03	19%	24 Jul →
train	1–13	-0.01	28%	24 Jul →
cache	12–12	0.08	15%	23 Jul →
office	7–13	-0.02	13%	23 Jul →
nuke	13–8	0.01	23%	22 Jul →
vertigo	13–10	-0.05	11%	22 Jul →
anubis	8–13	-0.04	11%	22 Jul →
ancient	3–13	-0.09	4%	22 Jul →
inferno	13–11	-0.03	12%	22 Jul →
dust2	13–9	0.01	21%	22 Jul →
mirage	13–5	0.05	13%	20 Jul →
anubis	0–13	-0.07	12%	20 Jul →
nuke	7–13	0.03	19%	20 Jul →
dust2	13–3	0.08	21%	19 Jul →
ancient	11–13	0.05	23%	19 Jul →
overpass	13–11	-0.00	14%	19 Jul →
cache	13–10	-0.00	23%	19 Jul →
train	11–13	0.06	14%	19 Jul →
train	3–13	-0.04	9%	17 Jul →
mirage	9–13	0.01	30%	17 Jul →
vertigo	12–12	-0.02	9%	17 Jul →
train	13–6	0.01	18%	16 Jul →
ancient	13–2	0.15	20%	16 Jul →
anubis	11–13	-0.03	25%	16 Jul →
mirage	13–9	0.04	13%	15 Jul →
dust2	5–13	-0.03	16%	15 Jul →
mirage	13–9	-0.05	28%	15 Jul →
nuke	9–13	-0.02	15%	15 Jul →
ancient	3–13	0.01	14%	14 Jul →
overpass	2–13	-0.07	28%	14 Jul →
inferno	2–13	-0.09	12%	14 Jul →
mirage	13–9	0.03	7%	11 Jul →
fachwerk	13–11	-0.05	22%	11 Jul →