ElmOoO# — CS2 Stats

76561198002522476[U:1:42256748]

1,568Tracked matches47%Win rate2021Tracked since

CSDB Rating4.9 DevelopingClutch Specialist

Premier CS Rating18,068Purple band · top ~16.2% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim52

Positioning47

Utility68

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateWLLLLLLWLW

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim5.2

Aggression4.3

Utility6.8

Positioning4.7

Opening Duels1.2

Clutch8.4

Strong CT-side openerEffective flashesReliable in 1v1s

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 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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 42% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 579ms 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

Aim5.2

Positioning4.7

Utility6.8

Mechanics5.9

Opening Duels1.5

Win Impact3.9

Composite 4.9/10 (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 rating-0.01+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.01

Reaction time576ms+37ms

first ⅓ avg 540ms → last ⅓ avg 576ms

Headshot accuracy14.6%+2.1%

first ⅓ avg 12.4% → last ⅓ avg 14.6%

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

0.13Best rating — cache 13–3

13–1Biggest win — cache

6Longest win streak

10–12In matches decided by ≤2 rounds

8Overtime games

Map breakdown

cacheBest map · 64% over 11anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	33	17–16	52%	-0.01
inferno	C	16	7–9	44%	-0.02
nuke	C	14	6–8	43%	-0.03
ancient	C	14	5–9	36%	-0.01
cache	A	11	7–4	64%	0.01
anubis	D	7	2–5	29%	-0.01
mirage	—	3	1–2	33%	-0.01
overpass	—	2	1–1	50%	-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

32Matches

53%Win rate

0.89Avg K/D

73.2ADR

44%Headshot %

Clutches & streaks

62%1v1 clutch win

25%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	8	62%	0.88	12.1
Nuke	3	100%	1.32	16.3
Ancient	3	100%	1.08	16.0
Train	3	67%	1.08	11.7
Overpass	3	33%	0.81	13.7
Mirage	2	50%	0.80	11.5
Inferno	1	0%	0.73	11.0
Anubis	1	0%	0.46	6.0

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.

14.0%Headshot accuracy

30.7%Accuracy (enemy spotted)

34.6%Spray accuracy

76.6%Counter-strafing

10.8°Preaim

579msReaction time

27.1%T opening success

42.2%CT opening success

0.72Enemies flashed / flash

5.7%Flash assists

8.19HE damage / grenade

15.37Flashes / 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 14.0498% — 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 27.1099% — 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.

29% win rate across 7 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
cache	13–1	0.02	24%	21 Aug →
anubis	6–13	0.04	17%	21 Aug →
cache	8–13	-0.00	19%	17 Aug →
inferno	7–13	0.01	18%	17 Aug →
nuke	9–13	-0.04	12%	10 Aug →
dust2	14–16	0.02	16%	10 Aug →
nuke	2–13	-0.06	22%	10 Aug →
dust2	13–8	-0.08	17%	10 Aug →
cache	10–13	-0.06	14%	9 Aug →
dust2	13–7	-0.02	12%	6 Aug →
ancient	3–13	-0.03	8%	6 Aug →
dust2	13–6	0.08	19%	4 Aug →
dust2	13–6	0.07	13%	4 Aug →
ancient	8–13	-0.00	15%	4 Aug →
inferno	2–13	-0.09	14%	2 Aug →
nuke	13–9	-0.05	12%	2 Aug →
nuke	11–13	0.01	24%	1 Aug →
ancient	13–6	0.06	12%	1 Aug →
dust2	13–8	-0.02	14%	31 Jul →
dust2	10–13	-0.03	10%	31 Jul →
ancient	16–14	0.02	13%	31 Jul →
anubis	5–13	-0.05	24%	31 Jul →
nuke	5–13	-0.02	11%	30 Jul →
cache	13–6	0.02	20%	30 Jul →
ancient	5–13	-0.09	3%	29 Jul →
inferno	16–14	0.00	11%	29 Jul →
ancient	9–13	0.02	14%	29 Jul →
inferno	16–14	-0.03	4%	28 Jul →
nuke	13–11	0.02	12%	28 Jul →
dust2	13–6	0.02	9%	28 Jul →
anubis	13–7	-0.02	15%	25 Jul →
dust2	11–13	-0.04	18%	25 Jul →
cache	13–4	0.04	17%	24 Jul →
cache	13–5	-0.01	6%	24 Jul →
inferno	6–13	-0.08	13%	24 Jul →
inferno	11–13	0.01	14%	23 Jul →
inferno	13–11	-0.04	20%	23 Jul →
dust2	7–13	0.02	12%	23 Jul →
dust2	6–13	-0.01	8%	23 Jul →
dust2	13–3	0.01	19%	23 Jul →
cache	13–3	0.13	14%	23 Jul →
dust2	5–13	-0.07	6%	21 Jul →
cache	13–10	0.05	4%	21 Jul →
ancient	9–13	0.02	9%	21 Jul →
ancient	13–7	0.02	5%	21 Jul →
inferno	13–8	0.05	11%	21 Jul →
dust2	14–16	-0.01	21%	16 Jul →
nuke	7–3	-0.12	0%	16 Jul →
dust2	8–13	-0.07	8%	16 Jul →
dust2	15–15	0.01	8%	15 Jul →
dust2	9–13	-0.05	9%	15 Jul →
cache	13–11	0.01	11%	11 Jul →
dust2	13–6	0.00	7%	10 Jul →
dust2	9–13	-0.06	13%	10 Jul →
dust2	13–7	-0.02	32%	10 Jul →
cache	9–13	-0.06	22%	3 Jul →
nuke	13–8	-0.05	16%	30 Jun →
dust2	13–7	0.00	16%	30 Jun →
dust2	11–13	0.01	13%	30 Jun →
ancient	8–13	-0.06	8%	19 Jun →
inferno	9–13	-0.10	7%	16 Jun →
inferno	10–13	-0.00	8%	3 Jun →
inferno	11–13	0.03	6%	28 May →
nuke	16–14	-0.00	15%	28 May →
ancient	13–4	0.01	12%	27 May →
inferno	13–10	-0.04	4%	27 May →
anubis	13–5	0.00	19%	27 May →
overpass	11–13	-0.04	5%	22 May →
nuke	13–10	-0.07	8%	21 May →
cache	12–12	-0.04	22%	21 May →
dust2	13–8	-0.03	15%	21 May →
dust2	4–13	0.01	23%	20 May →
mirage	13–11	-0.02	12%	18 May →
anubis	10–13	-0.03	11%	18 May →
ancient	8–13	-0.03	24%	18 May →
ancient	13–16	-0.01	10%	18 May →
dust2	13–9	0.02	7%	18 May →
nuke	7–13	-0.02	22%	18 May →
dust2	7–13	-0.06	17%	17 May →
mirage	11–13	-0.01	10%	17 May →
dust2	8–13	-0.03	20%	17 May →
inferno	11–13	-0.02	7%	17 May →
nuke	11–13	0.08	19%	17 May →
dust2	13–3	0.10	20%	17 May →
dust2	13–9	0.00	15%	17 May →
nuke	6–13	-0.06	11%	17 May →
anubis	9–13	0.04	12%	17 May →
nuke	10–13	0.00	7%	17 May →
inferno	1–13	-0.09	0%	16 May →
dust2	13–9	0.01	10%	16 May →
inferno	13–10	-0.04	18%	16 May →
dust2	13–11	0.01	5%	16 May →
inferno	13–3	0.01	6%	16 May →
ancient	13–8	0.01	16%	16 May →
overpass	13–5	-0.09	17%	16 May →
anubis	11–13	-0.06	10%	16 May →
ancient	8–13	-0.03	4%	16 May →
dust2	5–13	-0.07	6%	16 May →
mirage	9–13	-0.02	14%	16 May →
dust2	13–11	0.00	10%	16 May →