LithiumYttriumAlloy — CS2 Stats

SE76561198990693528[U:1:1030427800]Steam profile ↗✓ No bans

828Tracked matches62%Win rate2025Tracked since

CSDB Rating5.6 Solid

Ladder ranks via Leetify

Performance scores

Aim53

Positioning46

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY63–33–4Last 10063%Win rateLLWWLWLWWW

Last 10 vs previous 10: -10pp win rate · +0.01 avg rating

Player DNA

Aim5.3

Aggression4.6

Utility6.3

Positioning4.6

Opening Duels1.7

Clutch2.6

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 84% playstyle similarity

Most alike: utility contribution, 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 49% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim5.3

Positioning4.6

Utility6.3

Mechanics6.9

Opening Duels2.4

Win Impact9.0

Composite 5.6/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time615ms−23ms

first ⅓ avg 639ms → last ⅓ avg 615ms

Headshot accuracy13.1%−0.5%

first ⅓ avg 13.6% → last ⅓ avg 13.1%

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

0.16Best rating — italy 13–0

13–0Biggest win — cache

12Longest win streak

L2Current streak

7–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

trainBest map · 82% over 11anubisWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	33	24–9	73%	0.02
cache	A	12	7–5	58%	0.03
ancient	A	12	7–5	58%	-0.00
train	S	11	9–2	82%	-0.01
inferno	A	7	4–3	57%	0.01
mirage	S	5	4–1	80%	0.00
anubis	D	5	1–4	20%	0.02
overpass	S	5	4–1	80%	-0.00
vertigo	—	4	1–3	25%	-0.05
office	—	3	1–2	33%	0.00
dust2	—	2	0–2	0%	-0.03
italy	—	1	1–0	100%	0.16

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

13Matches

46%Win rate

0.90Avg K/D

74.2ADR

38%Headshot %

Clutches & streaks

33%1v1 clutch win

0%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	50%	1.03	17.8
Nuke	3	67%	0.86	15.0
Ancient	3	33%	0.70	11.3
Cache	2	50%	1.17	11.0
Overpass	1	0%	0.54	7.0

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.

12.8%Headshot accuracy

33.1%Accuracy (enemy spotted)

38.5%Spray accuracy

81.2%Counter-strafing

12.7°Preaim

598msReaction time

24.0%T opening success

49.5%CT opening success

0.69Enemies flashed / flash

5.2%Flash assists

7.94HE damage / grenade

8.87Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.6733° — above the 12° mark we flag
Aim Training →
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 12.8348% — below the 15% mark we flag
Aim Training →

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.

20% win rate across 5 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
inferno	5–13	-0.02	17%	27 Jul →
mirage	8–13	-0.04	13%	27 Jul →
mirage	13–11	0.03	8%	27 Jul →
inferno	13–3	-0.02	11%	27 Jul →
inferno	1–5	0.03	0%	27 Jul →
nuke	13–11	-0.06	9%	26 Jul →
anubis	6–12	0.01	7%	26 Jul →
nuke	13–10	0.06	16%	26 Jul →
nuke	13–5	0.02	15%	26 Jul →
cache	13–5	0.04	8%	26 Jul →
cache	13–0	0.07	7%	26 Jul →
vertigo	4–9	-0.19	9%	25 Jul →
anubis	8–13	0.04	8%	24 Jul →
cache	12–12	0.08	13%	24 Jul →
cache	13–8	-0.03	2%	24 Jul →
cache	13–4	-0.01	14%	23 Jul →
anubis	13–10	0.06	14%	23 Jul →
ancient	13–7	-0.02	9%	23 Jul →
nuke	13–7	-0.04	18%	23 Jul →
nuke	13–5	0.01	9%	21 Jul →
nuke	13–11	0.04	18%	21 Jul →
train	11–13	-0.00	19%	20 Jul →
nuke	10–13	0.04	16%	20 Jul →
inferno	13–3	0.03	23%	20 Jul →
nuke	13–3	0.04	22%	20 Jul →
cache	11–13	0.13	12%	20 Jul →
nuke	11–13	0.07	12%	20 Jul →
nuke	13–8	-0.01	13%	20 Jul →
anubis	13–16	0.02	11%	19 Jul →
ancient	7–13	-0.02	20%	19 Jul →
cache	13–10	0.00	14%	19 Jul →
cache	11–13	0.01	16%	19 Jul →
italy	13–0	0.16	31%	19 Jul →
inferno	13–11	0.07	16%	19 Jul →
cache	8–13	0.04	15%	18 Jul →
nuke	13–8	0.12	18%	16 Jul →
nuke	10–13	-0.03	7%	16 Jul →
nuke	13–8	0.12	13%	13 Jul →
nuke	4–13	-0.00	8%	13 Jul →
nuke	13–9	0.00	17%	13 Jul →
ancient	10–13	-0.07	6%	13 Jul →
nuke	5–13	-0.01	17%	12 Jul →
nuke	13–7	0.00	16%	12 Jul →
train	13–11	-0.01	12%	12 Jul →
train	8–13	-0.08	5%	11 Jul →
train	13–9	-0.01	9%	11 Jul →
dust2	11–13	-0.00	13%	10 Jul →
mirage	13–11	-0.04	9%	10 Jul →
cache	6–13	-0.04	9%	9 Jul →
nuke	13–3	-0.03	16%	9 Jul →
dust2	6–13	-0.05	11%	9 Jul →
anubis	8–13	-0.03	8%	9 Jul →
vertigo	12–12	0.04	12%	9 Jul →
inferno	8–13	-0.03	9%	9 Jul →
nuke	13–10	0.04	17%	9 Jul →
overpass	13–8	0.01	13%	9 Jul →
ancient	13–3	0.09	12%	9 Jul →
train	13–2	-0.03	18%	9 Jul →
cache	13–3	0.07	24%	9 Jul →
nuke	11–13	0.01	13%	8 Jul →
ancient	8–13	-0.01	14%	8 Jul →
nuke	13–10	0.07	15%	8 Jul →
nuke	13–8	0.06	8%	8 Jul →
office	9–13	-0.03	18%	8 Jul →
office	13–6	0.05	24%	8 Jul →
office	12–12	-0.02	17%	8 Jul →
train	13–10	0.04	8%	7 Jul →
overpass	7–13	-0.09	12%	7 Jul →
ancient	13–9	0.01	8%	6 Jul →
nuke	13–2	-0.03	24%	6 Jul →
overpass	13–11	0.01	16%	6 Jul →
overpass	13–5	-0.01	13%	6 Jul →
nuke	13–3	0.09	21%	6 Jul →
nuke	13–3	0.08	12%	6 Jul →
cache	13–10	0.01	13%	6 Jul →
nuke	11–13	-0.05	10%	4 Jul →
nuke	13–2	0.06	6%	4 Jul →
train	13–2	-0.00	10%	4 Jul →
mirage	13–5	0.03	11%	2 Jul →
overpass	13–3	0.05	16%	2 Jul →
mirage	13–9	0.03	7%	2 Jul →
ancient	8–13	-0.03	20%	2 Jul →
ancient	13–6	0.02	14%	2 Jul →
ancient	9–13	-0.05	15%	2 Jul →
nuke	10–13	-0.04	19%	2 Jul →
nuke	13–4	0.05	8%	2 Jul →
nuke	13–1	-0.02	29%	2 Jul →
ancient	13–5	0.02	24%	2 Jul →
ancient	13–5	0.04	14%	30 Jun →
vertigo	13–6	-0.03	6%	30 Jun →
train	13–5	-0.01	8%	30 Jun →
train	13–3	-0.07	0%	30 Jun →
train	13–6	0.08	14%	30 Jun →
ancient	13–5	0.01	14%	30 Jun →
inferno	13–3	0.03	16%	30 Jun →
nuke	13–2	0.08	14%	30 Jun →
train	13–9	-0.02	14%	29 Jun →
nuke	12–12	-0.02	13%	28 Jun →
nuke	13–6	0.02	15%	28 Jun →
vertigo	10–13	-0.03	12%	27 Jun →