basert — CS2 Stats

DE76561198002134795[U:1:41869067]Steam profile ↗✓ No bans

1,978Tracked matches47%Win rate2020Tracked since

CSDB Rating4.6 Developing

Premier CS Rating21,248Pink band · top ~7.1% of ranked players (population est.)

CSDB Leaderboard#4316 of 11232 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning50

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateLLWLLLWWLW

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

Player DNA

Aim5.8

Aggression4.7

Utility4.4

Positioning5.0

Opening Duels0.7

Clutch1.4

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 NiKo 84% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 592ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.8

Positioning5.0

Utility4.4

Mechanics4.1

Opening Duels0.7

Win Impact3.9

Composite 4.6/10 (Developing), 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 rating-0.01+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time589ms+3ms

first ⅓ avg 586ms → last ⅓ avg 589ms

Headshot accuracy14.1%+1.9%

first ⅓ avg 12.2% → last ⅓ avg 14.1%

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

0.12Best rating — cache 13–4

13–0Biggest win — anubis

5Longest win streak

L2Current streak

14–4In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 70% over 20nukeWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	32	13–19	41%	-0.01
cache	S	20	14–6	70%	0.02
inferno	C	17	7–10	41%	-0.02
nuke	D	15	4–11	27%	-0.01
anubis	B	6	3–3	50%	-0.02
overpass	S	6	4–2	67%	0.03
ancient	—	4	1–3	25%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,247Matches

51%Win rate

1.03Avg K/D

77.0ADR

35%Headshot %

Clutches & streaks

27%1v1 clutch win

18%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	49	41%	0.88	13.7
Dust2	37	62%	1.09	13.8
Anubis	32	41%	0.98	15.3
Inferno	29	59%	1.11	16.0
Nuke	26	54%	1.19	15.6
Overpass	8	38%	0.99	17.5
Mirage	6	67%	0.99	14.0
Vertigo	5	40%	0.63	9.0

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.

13.8%Headshot accuracy

34.9%Accuracy (enemy spotted)

42.0%Spray accuracy

68.5%Counter-strafing

10.4°Preaim

592msReaction time

34.3%T opening success

31.5%CT opening success

0.48Enemies flashed / flash

12.6%Flash assists

5.60HE damage / grenade

4.45Flashes / 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 13.7815% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4791 — below the 0.5 mark we flag
Grenade Lineups →
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 34.291% — below the 40% mark we flag

Spend your practice time on Nuke

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	7–13	-0.06	13%	14 Aug →
dust2	3–13	-0.10	19%	14 Aug →
nuke	16–12	0.01	13%	14 Aug →
dust2	11–13	0.02	27%	14 Aug →
anubis	3–13	-0.07	26%	11 Aug →
dust2	2–13	-0.05	0%	11 Aug →
cache	13–5	-0.01	12%	8 Aug →
dust2	13–2	0.03	15%	8 Aug →
inferno	9–13	-0.01	19%	8 Aug →
dust2	13–9	0.02	12%	7 Aug →
inferno	5–13	-0.04	7%	7 Aug →
cache	13–4	0.03	17%	7 Aug →
nuke	13–6	0.01	9%	5 Aug →
dust2	10–13	0.01	18%	5 Aug →
dust2	8–13	-0.03	14%	31 Jul →
cache	13–4	0.06	14%	31 Jul →
ancient	7–13	-0.02	20%	31 Jul →
anubis	16–14	-0.05	11%	31 Jul →
cache	6–13	0.01	15%	30 Jul →
dust2	13–8	0.02	10%	30 Jul →
dust2	2–13	-0.04	12%	26 Jul →
cache	10–13	0.03	17%	26 Jul →
inferno	9–13	0.09	23%	26 Jul →
dust2	13–10	0.02	16%	26 Jul →
nuke	3–13	-0.05	7%	26 Jul →
cache	16–14	-0.01	10%	24 Jul →
dust2	13–8	-0.01	10%	24 Jul →
ancient	8–13	-0.09	6%	24 Jul →
cache	13–4	0.08	13%	24 Jul →
anubis	13–0	0.01	7%	23 Jul →
anubis	13–11	0.07	15%	23 Jul →
inferno	11–13	-0.05	10%	23 Jul →
dust2	3–13	-0.03	31%	19 Jul →
dust2	5–13	0.07	41%	19 Jul →
cache	13–11	-0.05	17%	19 Jul →
dust2	13–6	-0.02	6%	19 Jul →
inferno	13–4	0.05	6%	19 Jul →
cache	13–4	0.12	13%	19 Jul →
nuke	8–13	0.03	10%	11 Jul →
dust2	7–13	-0.04	15%	11 Jul →
inferno	6–13	-0.01	9%	11 Jul →
cache	16–14	-0.02	31%	11 Jul →
dust2	13–5	-0.05	17%	11 Jul →
overpass	13–9	-0.01	14%	2 Jul →
dust2	13–10	0.08	16%	2 Jul →
dust2	13–11	0.04	15%	16 May →
overpass	10–13	0.02	16%	16 May →
dust2	11–13	0.12	23%	16 May →
inferno	11–13	-0.05	10%	16 May →
nuke	0–13	-0.08	0%	16 May →
dust2	13–11	0.03	17%	16 May →
nuke	13–16	-0.03	10%	12 May →
dust2	5–13	-0.02	28%	3 May →
dust2	4–13	-0.01	13%	2 May →
inferno	10–13	-0.08	19%	2 May →
nuke	9–13	0.04	11%	2 May →
cache	10–13	-0.05	16%	2 May →
cache	8–13	0.01	8%	2 May →
cache	13–11	-0.02	5%	1 May →
cache	13–11	0.01	8%	1 May →
cache	5–0	0.08	7%	1 May →
cache	13–11	0.05	19%	1 May →
cache	9–13	0.03	13%	30 Apr →
cache	13–11	0.03	9%	30 Apr →
cache	13–1	0.06	8%	30 Apr →
cache	8–13	-0.01	21%	30 Apr →
nuke	10–13	-0.01	14%	28 Apr →
overpass	13–1	0.07	19%	28 Apr →
inferno	13–8	0.02	13%	26 Apr →
inferno	13–5	-0.08	7%	26 Apr →
ancient	13–6	0.08	16%	26 Apr →
dust2	13–11	-0.02	6%	26 Apr →
dust2	7–13	-0.02	18%	24 Apr →
inferno	3–13	0.02	22%	24 Apr →
nuke	5–13	-0.05	18%	24 Apr →
nuke	10–13	-0.02	8%	12 Apr →
dust2	16–12	-0.01	7%	12 Apr →
dust2	6–13	-0.04	8%	12 Apr →
inferno	3–13	-0.05	6%	12 Apr →
overpass	13–6	0.04	16%	11 Apr →
inferno	13–5	0.06	9%	11 Apr →
dust2	12–16	-0.08	13%	11 Apr →
overpass	8–13	-0.05	16%	11 Apr →
dust2	3–13	-0.04	11%	7 Apr →
nuke	13–4	0.07	12%	7 Apr →
inferno	13–8	-0.03	8%	1 Apr →
dust2	6–13	-0.03	10%	1 Apr →
dust2	15–15	0.02	15%	30 Mar →
nuke	5–13	-0.06	13%	30 Mar →
dust2	13–5	0.08	14%	29 Mar →
nuke	13–11	-0.01	15%	29 Mar →
nuke	9–13	-0.04	12%	29 Mar →
ancient	15–15	-0.01	11%	28 Mar →
inferno	13–3	-0.04	19%	28 Mar →
inferno	13–11	-0.05	8%	28 Mar →
dust2	4–13	-0.09	9%	28 Mar →
overpass	13–6	0.07	10%	21 Mar →
nuke	9–13	0.03	11%	21 Mar →
anubis	5–13	-0.03	12%	21 Mar →
inferno	6–13	-0.04	10%	21 Mar →