Mr.Lud — CS2 Stats

76561198106650790[U:1:146385062]

1,335Tracked matches43%Win rate2020Tracked since

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating17,533Purple band · top ~18.3% of ranked players (population est.)

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim70

Positioning45

Utility57

0–100 skill scores via Leetify.

Recent form

COLD51–47–2Last 10051%Win rateWWLLLLLLLL

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.0

Aggression5.0

Utility5.7

Positioning4.5

Opening Duels3.1

Strong CT-side openerEffective flashesLimited 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 NiKo 89% playstyle similarity

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

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 52% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim7.0

Positioning4.5

Utility5.7

Mechanics6.9

Opening Duels3.1

Win Impact2.8

Composite 5.5/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time623ms+2ms

first ⅓ avg 621ms → last ⅓ avg 623ms

Headshot accuracy16.7%+1.1%

first ⅓ avg 15.6% → last ⅓ avg 16.7%

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

0.19Best rating — dust2 13–5

13–0Biggest win — inferno

5Longest win streak

W2Current streak

6–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 72% over 25cacheWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	13–16	45%	0.02
inferno	S	25	18–7	72%	0.01
ancient	B	14	7–7	50%	0.02
mirage	B	13	6–7	46%	0.01
cache	C	5	2–3	40%	0.01
overpass	C	5	2–3	40%	-0.02
train	—	4	1–3	25%	-0.00
anubis	—	3	0–3	0%	-0.01
nuke	—	2	2–0	100%	0.03

Across the last 100 tracked matches.

Faceit stats

Combat

3Matches

33%Win rate

0.65Avg K/D

—ADR

72%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLLWLL

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.

17.0%Headshot accuracy

37.6%Accuracy (enemy spotted)

37.4%Spray accuracy

81.0%Counter-strafing

10.1°Preaim

620msReaction time

32.9%T opening success

52.1%CT opening success

0.75Enemies flashed / flash

9.2%Flash assists

10.21HE damage / grenade

4.42Flashes / 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 32.883% — below the 40% mark we flag

Spend your practice time on Cache

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–11	0.05	19%	28 Aug →
inferno	13–9	0.02	11%	27 Aug →
anubis	11–13	0.03	13%	16 Aug →
cache	10–13	0.06	18%	16 Aug →
ancient	6–13	-0.00	19%	16 Aug →
dust2	7–13	0.08	24%	16 Aug →
ancient	9–13	0.00	10%	15 Aug →
mirage	5–13	-0.08	14%	15 Aug →
inferno	9–13	0.04	21%	15 Aug →
anubis	7–13	-0.04	12%	13 Aug →
mirage	1–13	-0.10	29%	12 Aug →
cache	13–8	-0.04	29%	30 Jul →
cache	4–13	-0.00	24%	30 Jul →
inferno	13–11	-0.03	26%	26 Jul →
anubis	6–13	-0.01	15%	26 Jul →
dust2	13–9	0.04	24%	26 Jul →
mirage	2–9	-0.05	0%	26 Jul →
mirage	13–2	0.16	15%	23 Jul →
dust2	6–13	0.01	24%	23 Jul →
ancient	13–7	-0.01	13%	22 Jul →
ancient	13–7	0.08	9%	19 Jul →
dust2	10–13	0.03	15%	19 Jul →
cache	13–16	0.03	16%	18 Jul →
cache	13–10	-0.02	13%	18 Jul →
ancient	7–13	0.04	9%	18 Jul →
dust2	13–1	0.04	25%	18 Jul →
dust2	16–13	-0.03	14%	7 Feb →
inferno	13–0	-0.01	9%	7 Feb →
dust2	13–11	0.03	14%	7 Feb →
dust2	7–13	-0.02	23%	31 Jan →
inferno	13–9	0.01	13%	31 Jan →
dust2	13–6	-0.06	9%	31 Jan →
inferno	11–4	-0.02	21%	30 Jan →
dust2	7–13	0.01	26%	30 Jan →
ancient	10–13	0.03	14%	28 Jan →
inferno	13–7	0.06	22%	28 Jan →
dust2	4–13	-0.06	18%	25 Jan →
inferno	13–8	-0.01	24%	25 Jan →
dust2	13–8	0.03	12%	10 Jan →
nuke	13–3	0.10	33%	10 Jan →
mirage	16–14	-0.02	19%	10 Jan →
dust2	9–13	0.03	16%	2 Jan →
mirage	14–16	-0.02	17%	2 Jan →
inferno	13–0	0.04	71%	2 Jan →
train	8–13	0.04	26%	2 Jan →
inferno	9–13	-0.04	8%	14 Dec →
dust2	9–13	-0.06	21%	14 Dec →
nuke	13–8	-0.04	21%	14 Dec →
ancient	8–13	-0.06	6%	10 Dec →
ancient	8–13	-0.05	10%	10 Dec →
dust2	9–8	0.05	26%	7 Dec →
inferno	13–9	-0.00	26%	7 Dec →
dust2	7–13	0.01	10%	7 Dec →
mirage	13–7	0.04	16%	7 Dec →
dust2	2–8	-0.01	60%	6 Dec →
overpass	13–11	0.05	29%	5 Dec →
inferno	9–3	0.00	8%	5 Dec →
inferno	13–8	0.06	16%	5 Dec →
mirage	9–13	0.05	16%	23 Nov →
dust2	13–7	-0.00	14%	23 Nov →
mirage	7–13	-0.02	21%	16 Nov →
overpass	3–13	-0.05	14%	16 Nov →
dust2	8–13	0.00	26%	16 Nov →
inferno	7–13	0.01	15%	12 Nov →
mirage	15–15	-0.01	29%	12 Nov →
ancient	13–10	0.01	17%	31 Oct →
train	8–13	-0.01	26%	30 Oct →
inferno	13–6	0.01	31%	30 Oct →
inferno	13–10	0.00	17%	29 Oct →
dust2	13–5	0.05	21%	24 Oct →
dust2	13–5	0.19	33%	24 Oct →
dust2	8–13	-0.05	11%	24 Oct →
train	13–10	-0.02	20%	24 Oct →
mirage	13–10	0.05	9%	7 Sept →
dust2	4–13	0.00	11%	7 Sept →
inferno	15–15	0.04	17%	1 Sept →
ancient	10–13	0.00	21%	1 Sept →
dust2	11–13	-0.03	17%	16 Aug →
ancient	13–7	0.06	16%	16 Aug →
mirage	13–7	0.07	12%	16 Aug →
inferno	13–5	0.05	33%	16 Aug →
inferno	9–13	0.05	9%	10 Aug →
overpass	5–13	-0.05	11%	10 Aug →
mirage	13–7	0.05	9%	10 Aug →
ancient	13–7	0.02	5%	10 Aug →
inferno	1–13	-0.04	15%	10 Aug →
inferno	3–13	-0.06	11%	10 Aug →
dust2	13–7	0.04	9%	10 Aug →
dust2	13–9	0.10	24%	10 Aug →
train	9–13	-0.02	13%	9 Aug →
dust2	9–13	-0.04	14%	9 Aug →
dust2	13–7	0.12	18%	9 Aug →
inferno	13–7	-0.02	8%	8 Aug →
dust2	11–13	-0.02	9%	8 Aug →
ancient	13–2	-0.00	18%	8 Aug →
inferno	13–9	0.10	16%	8 Aug →
inferno	16–12	-0.03	15%	6 Aug →
ancient	13–7	0.10	17%	3 Aug →
overpass	16–13	-0.02	12%	3 Aug →
overpass	14–16	-0.03	13%	3 Aug →