Luke — CS2 Stats

76561198322603360[U:1:362337632]✓ No bans

5,055Tracked matches50%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim87

Positioning54

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLWWWWWLLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

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

Aim8.7

Aggression6.7

Utility5.5

Positioning5.4

Opening Duels2.8

Clutch4.2

Sharp aimer

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 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.9° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

Reaction time. 605ms 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

Aim8.7

Positioning5.4

Utility5.5

Mechanics8.2

Opening Duels2.8

Win Impact5.0

Composite 6.7/10 (Solid), 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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time607ms+12ms

first ⅓ avg 595ms → last ⅓ avg 607ms

Headshot accuracy24.9%−0.7%

first ⅓ avg 25.6% → last ⅓ avg 24.9%

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 — cache 6–13

13–0Biggest win — inferno

7Longest win streak

7–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 65% over 17overpassWeakest map · 43% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	31	14–17	45%	0.03
dust2	S	17	11–6	65%	0.02
inferno	B	14	7–7	50%	0.02
anubis	A	11	7–4	64%	0.02
ancient	C	9	4–5	44%	-0.01
overpass	C	7	3–4	43%	0.03
nuke	B	6	3–3	50%	-0.00
cache	A	5	3–2	60%	0.09

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6,169Matches

53%Win rate

1.20Avg K/D

85.8ADR

52%Headshot %

Clutches & streaks

41%1v1 clutch win

26%1v2 clutch win

13Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	772	51%	1.19	18.0
Ancient	363	47%	1.13	17.8
Dust2	335	54%	1.21	17.9
Anubis	325	51%	1.17	17.8
Inferno	151	52%	1.21	17.6
Nuke	112	48%	1.11	17.5
Vertigo	104	44%	1.14	18.1
Overpass	71	59%	1.22	18.2

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.

23.3%Headshot accuracy

42.0%Accuracy (enemy spotted)

43.6%Spray accuracy

87.1%Counter-strafing

10.9°Preaim

605msReaction time

37.8%T opening success

44.4%CT opening success

0.64Enemies flashed / flash

6.6%Flash assists

13.04HE damage / grenade

8.65Flashes / 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.

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 37.8074% — below the 40% mark we flag

Spend your practice time on Overpass

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	7–13	-0.04	67%	26 Aug →
dust2	13–9	0.04	30%	25 Aug →
nuke	13–11	-0.06	25%	23 Aug →
mirage	13–6	0.08	45%	18 Aug →
dust2	13–3	0.06	26%	2 Aug →
dust2	13–7	0.10	26%	21 Jul →
mirage	9–13	-0.03	21%	19 Jul →
cache	6–13	0.19	33%	18 Jul →
ancient	3–13	-0.07	21%	18 Jul →
mirage	13–10	0.02	16%	16 Jul →
mirage	20–22	0.01	9%	15 Jul →
inferno	10–13	0.09	25%	14 Jul →
nuke	10–13	0.01	14%	11 Jul →
mirage	6–13	0.07	33%	11 Jul →
mirage	9–13	-0.01	22%	11 Jul →
dust2	4–13	-0.18	0%	9 Jul →
cache	13–3	0.07	33%	9 Jul →
mirage	13–4	-0.00	36%	9 Jul →
dust2	13–9	0.04	15%	7 Jul →
anubis	13–7	0.06	31%	7 Jul →
mirage	19–22	-0.03	12%	7 Jul →
inferno	13–4	-0.02	25%	5 Jul →
ancient	13–6	0.02	26%	3 Jul →
dust2	13–10	0.02	17%	1 Jul →
inferno	8–13	0.01	28%	1 Jul →
anubis	7–13	0.03	22%	1 Jul →
mirage	13–5	0.15	25%	30 Jun →
overpass	13–3	0.09	37%	30 Jun →
mirage	7–13	0.02	21%	30 Jun →
mirage	9–13	-0.04	23%	29 Jun →
inferno	13–8	0.05	37%	29 Jun →
anubis	7–13	-0.07	10%	29 Jun →
mirage	13–8	0.02	12%	29 Jun →
anubis	13–8	-0.01	19%	28 Jun →
nuke	4–13	-0.01	26%	26 Jun →
dust2	13–6	0.11	25%	24 Jun →
mirage	13–4	0.10	32%	24 Jun →
mirage	13–5	0.03	14%	24 Jun →
overpass	9–13	0.01	20%	23 Jun →
ancient	13–16	-0.04	16%	23 Jun →
mirage	10–13	0.06	21%	23 Jun →
anubis	13–6	0.03	16%	21 Jun →
overpass	10–13	0.01	21%	21 Jun →
mirage	11–13	-0.03	13%	20 Jun →
inferno	11–13	0.02	23%	20 Jun →
dust2	11–13	0.08	32%	19 Jun →
mirage	13–11	0.12	32%	19 Jun →
ancient	6–13	0.01	36%	19 Jun →
ancient	13–10	-0.03	15%	18 Jun →
anubis	13–11	-0.03	6%	18 Jun →
mirage	13–9	0.01	22%	18 Jun →
mirage	11–13	0.08	17%	17 Jun →
dust2	3–13	-0.01	21%	16 Jun →
dust2	11–13	0.06	26%	16 Jun →
mirage	8–13	0.07	16%	15 Jun →
nuke	5–2	0.01	18%	15 Jun →
mirage	8–13	0.04	24%	15 Jun →
mirage	10–13	0.08	38%	14 Jun →
dust2	16–13	0.04	25%	14 Jun →
inferno	13–9	0.19	22%	13 Jun →
anubis	13–10	0.03	23%	13 Jun →
mirage	11–13	0.09	19%	12 Jun →
overpass	11–13	0.05	28%	11 Jun →
inferno	5–13	-0.02	39%	11 Jun →
anubis	9–13	0.01	29%	10 Jun →
overpass	7–13	0.03	27%	10 Jun →
inferno	2–13	-0.00	57%	10 Jun →
nuke	13–11	-0.01	26%	10 Jun →
overpass	13–6	0.05	29%	9 Jun →
dust2	13–9	0.02	33%	8 Jun →
mirage	13–2	0.08	24%	7 Jun →
ancient	11–13	-0.02	21%	7 Jun →
inferno	13–6	0.01	27%	5 Jun →
inferno	13–0	0.01	25%	5 Jun →
mirage	13–11	-0.03	26%	5 Jun →
ancient	13–4	0.07	40%	4 Jun →
mirage	13–5	-0.02	24%	4 Jun →
dust2	13–8	-0.04	24%	3 Jun →
mirage	13–7	0.02	15%	30 May →
mirage	6–13	-0.05	25%	30 May →
ancient	8–13	-0.04	19%	28 May →
anubis	5–13	-0.01	31%	28 May →
mirage	8–13	0.06	24%	27 May →
anubis	13–3	0.03	21%	27 May →
inferno	13–8	-0.03	32%	21 May →
dust2	3–13	-0.02	18%	18 May →
inferno	3–13	-0.08	26%	16 May →
dust2	4–13	-0.07	14%	15 May →
nuke	1–8	0.05	33%	13 May →
cache	12–12	0.18	28%	13 May →
anubis	13–3	0.10	30%	11 May →
ancient	13–7	0.03	20%	10 May →
overpass	16–13	-0.04	21%	9 May →
mirage	13–9	-0.02	21%	8 May →
dust2	13–7	0.07	36%	8 May →
inferno	6–13	-0.03	31%	8 May →
inferno	13–11	0.00	20%	7 May →
dust2	13–9	-0.01	35%	5 May →
cache	13–11	0.01	25%	30 Apr →
cache	13–4	-0.01	23%	30 Apr →