ludz999 — CS2 Stats

76561198017265267[U:1:56999539]

1,940Tracked matches41%Win rate2020Tracked since

CSDB Rating5.3 DevelopingAggressive Rifler

FaceitLevel 10 · 2,301 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning50

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLLWWWWLWWT

Last 10 vs previous 10: +20pp win rate · -0.07 avg rating

Player DNA

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

Aim7.5

Aggression6.9

Utility5.2

Positioning5.0

Opening Duels2.0

Clutch3.4

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 Twistzz 88% 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

Reaction time. 562ms 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

Aim7.5

Positioning5.0

Utility5.2

Mechanics6.0

Opening Duels2.0

Win Impact2.1

Composite 5.3/10 (Developing), 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 rating0.03+0.02

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time544ms−46ms

first ⅓ avg 591ms → last ⅓ avg 544ms

Headshot accuracy20.6%+2.7%

first ⅓ avg 17.9% → last ⅓ avg 20.6%

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

0.37Best rating — inferno 9–1

13–1Biggest win — mirage

9Longest win streak

L2Current streak

6–7In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 75% over 12dust2Weakest map · 45% over 33

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	33	15–18	45%	0.01
mirage	B	24	11–13	46%	0.03
inferno	S	12	9–3	75%	0.05
nuke	S	7	5–2	71%	0.01
vertigo	S	6	4–2	67%	0.05
anubis	B	6	3–3	50%	0.00
overpass	—	4	1–3	25%	-0.01
cache	—	3	2–1	67%	0.03
ancient	—	2	2–0	100%	0.01
eldorado	—	1	0–1	0%	0.04
debris	—	1	1–0	100%	0.19
train	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 33). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

948Matches

53%Win rate

1.13Avg K/D

78.2ADR

48%Headshot %

Clutches & streaks

37%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	204	56%	1.13	15.2
Dust2	185	49%	1.14	15.0
Anubis	123	55%	1.16	15.6
Ancient	119	49%	1.15	15.9
Inferno	97	56%	1.20	15.9
Nuke	68	44%	1.09	15.9
Vertigo	28	64%	1.27	16.6
Overpass	23	52%	1.21	15.3

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.

20.5%Headshot accuracy

33.4%Accuracy (enemy spotted)

36.9%Spray accuracy

76.8%Counter-strafing

8.5°Preaim

562msReaction time

35.8%T opening success

40.0%CT opening success

0.58Enemies flashed / flash

4.8%Flash assists

8.47HE damage / grenade

10.99Flashes / 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 35.786% — below the 40% mark we flag

Spend your practice time on Dust 2

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

45% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	15–19	0.03	17%	27 Aug →
dust2	7–13	-0.00	38%	27 Aug →
cache	13–10	0.04	21%	27 Aug →
mirage	13–7	0.04	37%	24 Aug →
mirage	13–6	0.06	22%	24 Aug →
mirage	13–11	0.01	14%	23 Aug →
dust2	10–13	-0.02	22%	23 Aug →
dust2	13–8	-0.02	19%	23 Aug →
vertigo	13–10	-0.02	19%	22 Aug →
dust2	15–15	0.07	30%	19 Aug →
eldorado	4–9	0.04	29%	17 Aug →
nuke	7–9	-0.00	19%	17 Aug →
debris	9–5	0.19	17%	17 Aug →
vertigo	9–2	0.24	11%	16 Aug →
inferno	9–1	0.37	38%	16 Aug →
mirage	6–13	0.07	22%	16 Aug →
anubis	10–13	-0.06	14%	16 Aug →
dust2	7–13	0.04	27%	15 Aug →
inferno	5–13	-0.03	18%	15 Aug →
nuke	13–8	0.01	26%	15 Aug →
dust2	9–13	-0.01	20%	14 Aug →
cache	5–13	0.00	26%	14 Aug →
mirage	13–7	0.11	17%	3 Aug →
dust2	16–12	-0.00	25%	3 Aug →
mirage	9–13	-0.01	10%	27 Jul →
dust2	3–13	-0.03	14%	27 Jul →
vertigo	13–4	0.04	21%	15 Jul →
mirage	10–13	-0.00	14%	15 Jul →
inferno	13–10	0.04	16%	15 Jul →
dust2	9–13	0.01	14%	15 Jul →
mirage	0–8	-0.09	6%	15 Jul →
dust2	9–13	0.03	24%	15 Jul →
dust2	4–13	-0.04	16%	15 Jul →
mirage	3–13	-0.01	13%	14 Jul →
dust2	13–6	0.03	26%	14 Jul →
dust2	9–13	0.07	20%	14 Jul →
dust2	8–13	-0.02	22%	12 Jul →
inferno	13–11	0.03	12%	12 Jul →
mirage	9–13	-0.02	20%	12 Jul →
vertigo	13–8	-0.00	18%	12 Jul →
dust2	7–13	-0.02	27%	11 Jul →
nuke	13–7	0.02	17%	11 Jul →
mirage	13–4	-0.04	28%	10 Jul →
anubis	13–6	-0.11	0%	10 Jul →
mirage	7–13	-0.05	7%	10 Jul →
inferno	13–6	0.09	28%	10 Jul →
vertigo	10–13	-0.07	21%	10 Jul →
mirage	13–2	0.07	13%	10 Jul →
dust2	10–13	-0.02	11%	9 Jul →
dust2	13–8	0.03	14%	9 Jul →
dust2	13–8	0.01	20%	9 Jul →
inferno	13–9	0.06	26%	8 Jul →
dust2	9–13	0.03	20%	8 Jul →
inferno	13–6	0.05	14%	7 Jul →
dust2	13–4	0.14	26%	7 Jul →
mirage	11–13	0.00	25%	7 Jul →
nuke	13–6	0.03	16%	6 Jul →
mirage	13–7	0.10	19%	6 Jul →
cache	25–23	0.04	19%	5 Jul →
dust2	13–10	0.07	23%	5 Jul →
inferno	13–6	-0.00	16%	5 Jul →
anubis	13–5	0.09	14%	28 Jun →
dust2	13–9	0.05	24%	28 Jun →
dust2	13–8	0.05	20%	28 Jun →
nuke	13–10	0.06	22%	27 Jun →
anubis	11–13	0.02	34%	27 Jun →
inferno	13–2	0.02	47%	27 Jun →
dust2	13–4	-0.01	26%	27 Jun →
dust2	13–4	0.02	24%	27 Jun →
overpass	13–11	0.01	13%	23 Jun →
dust2	16–14	-0.04	19%	18 Jun →
mirage	13–6	-0.00	21%	14 Jun →
dust2	13–10	0.02	16%	22 May →
mirage	13–1	0.20	19%	22 May →
overpass	9–13	-0.09	10%	22 May →
ancient	16–14	-0.02	18%	24 Apr →
dust2	14–16	-0.00	10%	19 Apr →
mirage	13–8	0.07	17%	18 Apr →
nuke	13–10	0.03	11%	17 Apr →
dust2	2–13	-0.06	19%	15 Apr →
inferno	13–4	0.09	23%	15 Apr →
vertigo	11–13	0.11	20%	11 Apr →
mirage	9–13	0.02	21%	11 Apr →
nuke	2–13	-0.04	13%	10 Apr →
overpass	9–13	0.06	19%	29 Mar →
anubis	13–6	0.07	23%	27 Mar →
inferno	9–13	-0.04	14%	25 Mar →
dust2	16–19	-0.06	22%	25 Mar →
overpass	5–13	-0.01	14%	25 Mar →
dust2	13–4	0.03	9%	24 Mar →
mirage	13–9	0.01	29%	24 Mar →
train	13–9	0.04	22%	22 Mar →
dust2	13–5	0.05	24%	22 Mar →
mirage	13–16	-0.04	13%	22 Mar →
anubis	11–13	-0.00	11%	22 Mar →
mirage	11–13	0.06	14%	22 Mar →
ancient	13–4	0.04	24%	21 Mar →
mirage	5–13	0.02	19%	21 Mar →
inferno	8–13	-0.02	15%	19 Mar →
dust2	9–13	0.04	18%	18 Mar →