LUDO4725 — CS2 Stats

76561199479746194[U:1:1519480466]Steam profile ↗

600Tracked matches23%Win rate2024Tracked since

765Hours in CS2Hrs last 2 wks

CSDB Rating3.4 Learning

Ladder ranks via Leetify

Performance scores

Aim33

Positioning47

Utility51

0–100 skill scores via Leetify.

Recent form

COLD38–51–11Last 10038%Win rateLWLTLWLLLL

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

Player DNA

Aim3.3

Aggression7.4

Utility5.1

Positioning4.7

Opening Duels2.4

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 b1t 81% 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

T-side openings. Opening success drops from 47% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.3

Positioning4.7

Utility5.1

Mechanics3.1

Opening Duels2.4

Win Impact0.0

Composite 3.4/10 (Learning), 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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time624ms−61ms

first ⅓ avg 685ms → last ⅓ avg 624ms

Headshot accuracy12.2%−2.6%

first ⅓ avg 14.7% → last ⅓ avg 12.2%

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

0.15Best rating — dust2 13–4

13–2Biggest win — ancient

6Longest win streak

4–3In matches decided by ≤2 rounds

1Overtime games

Map breakdown

officeBest map · 73% over 11anubisWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	33	14–19	42%	0.00
inferno	D	13	4–9	31%	-0.05
office	S	11	8–3	73%	0.02
nuke	D	9	2–7	22%	-0.02
mirage	D	9	2–7	22%	-0.00
ancient	D	9	3–6	33%	0.01
anubis	D	6	1–5	17%	-0.03
overpass	—	4	1–3	25%	-0.03
shelter	—	2	1–1	50%	-0.07
train	—	2	0–2	0%	-0.02
italy	—	1	1–0	100%	0.06
boulder	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,857Lifetime kills

0.97K/D

1,047Matches

41.4%Match win rate

31.6%Headshot %

0.1%Shot accuracy

1,937MVPs

376Hours (in match)

754Bombs planted

249Bombs defused

Most-used weapons

Negev4,403

AWP2,714

AK-471,257

M4A4 / M4A1-S966

P2000 / USP-S726

SSG 08662

MAC-10607

Glock-18540

XM1014424

Dual Berettas418

Lifetime map wins

6,729dust2

512inferno

447office

208nuke

171train

161vertigo

13italy

1cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.3%Headshot accuracy

24.3%Accuracy (enemy spotted)

35.9%Spray accuracy

64.0%Counter-strafing

9.0°Preaim

617msReaction time

31.8%T opening success

47.2%CT opening success

0.58Enemies flashed / flash

4.2%Flash assists

13.36HE damage / grenade

7.65Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.2782% — below the 15% mark we flag
Aim Training →
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 31.8221% — below the 40% mark we flag

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.

17% win rate across 6 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
dust2	10–13	-0.03	21%	21 Aug →
dust2	13–11	0.06	18%	21 Aug →
dust2	4–13	-0.07	14%	21 Aug →
inferno	15–15	0.02	23%	6 Aug →
anubis	8–13	-0.04	12%	6 Aug →
nuke	13–8	0.06	10%	6 Aug →
mirage	11–13	-0.05	10%	5 Aug →
ancient	5–13	-0.08	12%	5 Aug →
anubis	6–13	-0.01	14%	5 Aug →
nuke	5–13	-0.07	13%	5 Aug →
dust2	7–13	-0.03	16%	5 Aug →
inferno	8–8	-0.07	25%	5 Aug →
dust2	5–13	-0.02	11%	4 Aug →
dust2	12–12	-0.07	13%	3 Aug →
nuke	2–13	-0.12	5%	3 Aug →
mirage	10–13	-0.02	4%	3 Aug →
office	8–13	-0.01	18%	3 Aug →
nuke	5–13	-0.00	2%	2 Aug →
office	13–10	-0.02	9%	2 Aug →
overpass	10–13	-0.03	9%	1 Aug →
inferno	12–12	-0.08	8%	1 Aug →
dust2	13–8	0.07	14%	1 Aug →
office	11–13	0.03	21%	1 Aug →
ancient	7–13	-0.04	0%	1 Aug →
dust2	5–13	-0.01	20%	1 Aug →
anubis	8–13	-0.03	15%	31 Jul →
dust2	8–13	0.03	11%	31 Jul →
ancient	13–2	0.04	0%	31 Jul →
mirage	12–12	0.00	7%	31 Jul →
dust2	13–6	0.02	10%	31 Jul →
inferno	2–13	-0.04	22%	31 Jul →
nuke	4–13	-0.08	11%	30 Jul →
dust2	4–13	-0.06	5%	30 Jul →
dust2	6–13	-0.04	15%	30 Jul →
office	13–5	-0.01	9%	30 Jul →
inferno	13–10	-0.06	16%	30 Jul →
dust2	13–4	0.15	14%	30 Jul →
inferno	7–13	-0.04	15%	29 Jul →
dust2	7–13	-0.03	21%	29 Jul →
ancient	6–13	-0.01	13%	29 Jul →
dust2	12–12	-0.06	17%	26 Jul →
dust2	1–13	-0.05	20%	26 Jul →
shelter	1–13	-0.12	11%	26 Jul →
dust2	13–9	-0.00	13%	25 Jul →
inferno	0–12	-0.03	7%	25 Jul →
anubis	13–7	0.04	18%	25 Jul →
office	13–2	0.11	19%	25 Jul →
dust2	5–13	0.06	17%	23 Jul →
dust2	13–8	-0.01	11%	23 Jul →
dust2	10–13	0.03	10%	22 Jul →
inferno	13–3	-0.03	25%	22 Jul →
dust2	12–12	-0.01	15%	22 Jul →
mirage	11–13	0.02	13%	18 Jul →
overpass	13–8	0.04	10%	18 Jul →
inferno	13–6	0.04	12%	18 Jul →
train	4–13	0.03	0%	18 Jul →
train	4–13	-0.08	12%	18 Jul →
dust2	13–3	0.09	14%	18 Jul →
nuke	8–13	0.07	17%	18 Jul →
mirage	13–4	0.08	16%	18 Jul →
italy	5–1	0.06	5%	18 Jul →
office	13–4	0.12	8%	18 Jul →
anubis	10–13	-0.06	19%	18 Jul →
ancient	13–8	0.11	15%	18 Jul →
nuke	13–7	0.05	20%	16 Jul →
boulder	13–7	-0.03	17%	16 Jul →
shelter	13–10	-0.02	12%	16 Jul →
office	13–11	-0.03	19%	16 Jul →
dust2	13–10	0.04	12%	16 Jul →
ancient	10–13	-0.00	15%	15 Jul →
ancient	12–12	0.05	12%	15 Jul →
office	13–8	0.02	20%	14 Jul →
dust2	13–5	0.10	14%	14 Jul →
overpass	4–9	-0.12	15%	14 Jul →
mirage	13–6	0.04	10%	14 Jul →
dust2	13–3	0.08	22%	14 Jul →
inferno	9–13	-0.06	29%	14 Jul →
inferno	0–9	-0.34	5%	14 Jul →
dust2	12–12	-0.03	7%	13 Jul →
mirage	3–13	-0.06	7%	13 Jul →
dust2	8–13	-0.09	19%	13 Jul →
office	13–9	-0.00	9%	13 Jul →
dust2	13–4	0.04	18%	13 Jul →
nuke	7–13	-0.07	16%	13 Jul →
inferno	13–7	0.08	21%	13 Jul →
dust2	9–13	0.02	19%	13 Jul →
anubis	6–13	-0.06	8%	13 Jul →
dust2	5–11	-0.03	9%	11 Jul →
mirage	9–13	0.00	16%	10 Jul →
office	13–7	0.05	17%	10 Jul →
inferno	8–13	-0.03	19%	10 Jul →
dust2	13–11	0.04	14%	10 Jul →
mirage	12–12	-0.03	10%	9 Jul →
ancient	10–13	-0.00	10%	9 Jul →
office	10–13	0.01	24%	9 Jul →
dust2	13–2	-0.08	8%	9 Jul →
overpass	3–13	-0.01	3%	7 Jul →
dust2	13–11	0.02	27%	7 Jul →
nuke	12–12	0.01	16%	22 Jun →
ancient	13–6	0.04	20%	22 Jun →