rub1kkub1k — CS2 Stats

76561199403348460[U:1:1443082732]Steam profile ↗✓ No bans

462Tracked matches44%Win rate2022Tracked since

CSDB Rating4.2 Developing

Premier CS Rating15,601Purple band · top ~26% of ranked players (population est.)

CSDB Leaderboard#9623 of 15268 tracked

FaceitLevel 5 · 1,102 ELOTop 67.6% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim49

Positioning38

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateTWLWWLWWLL

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

Aim4.9

Aggression2.5

Utility4.3

Positioning3.8

Opening Duels0.0

Clutch4.8

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 74% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Reaction time. 635ms 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

Aim4.9

Positioning3.8

Utility4.3

Mechanics6.3

Opening Duels0.3

Win Impact3.1

Composite 4.2/10 (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-0.03+0.02

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time625ms−39ms

first ⅓ avg 664ms → last ⅓ avg 625ms

Headshot accuracy13.4%−1.1%

first ⅓ avg 14.5% → last ⅓ avg 13.4%

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 — nuke 13–7

13–1Biggest win — anubis

5Longest win streak

9–13In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 64% over 11infernoWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	23	14–9	61%	-0.01
anubis	B	17	8–9	47%	-0.01
inferno	D	15	5–10	33%	-0.02
ancient	A	11	7–4	64%	-0.01
cache	C	11	4–7	36%	-0.03
dust2	C	7	3–4	43%	-0.03
mirage	C	7	3–4	43%	-0.02
office	—	4	3–1	75%	-0.06
vertigo	—	3	2–1	67%	-0.05
train	—	1	0–1	0%	-0.10
overpass	—	1	1–0	100%	-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

140Matches

51%Win rate

1.01Avg K/D

71.3ADR

42%Headshot %

Clutches & streaks

44%1v1 clutch win

20%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	45	56%	1.13	14.5
Inferno	24	54%	0.96	15.0
Nuke	19	58%	0.95	13.9
Dust2	12	33%	0.90	12.8
Anubis	10	60%	0.94	14.4
Train	8	50%	1.12	13.9
Overpass	7	57%	0.93	10.9
Ancient	5	20%	0.65	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.

13.5%Headshot accuracy

31.0%Accuracy (enemy spotted)

34.0%Spray accuracy

78.4%Counter-strafing

10.2°Preaim

635msReaction time

32.4%T opening success

19.3%CT opening success

0.62Enemies flashed / flash

1.0%Flash assists

4.68HE damage / grenade

4.44Flashes / 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 13.4733% — 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 32.3802% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
train	12–12	-0.10	11%	13 Aug →
office	13–6	-0.11	21%	7 Aug →
inferno	10–13	-0.06	4%	7 Aug →
ancient	13–11	0.02	12%	6 Aug →
nuke	13–9	0.04	12%	6 Aug →
inferno	9–13	-0.01	22%	6 Aug →
nuke	13–8	0.02	20%	6 Aug →
office	13–9	-0.04	8%	5 Aug →
nuke	11–13	-0.04	8%	5 Aug →
office	8–13	-0.05	33%	5 Aug →
anubis	9–13	-0.04	7%	5 Aug →
inferno	13–5	0.00	11%	5 Aug →
cache	10–13	-0.02	11%	5 Aug →
inferno	5–9	0.01	18%	2 Aug →
nuke	14–16	-0.02	13%	2 Aug →
ancient	5–13	-0.07	15%	1 Aug →
dust2	13–9	0.01	20%	1 Aug →
anubis	9–13	-0.02	6%	1 Aug →
inferno	9–5	0.09	6%	1 Aug →
inferno	12–16	-0.02	18%	1 Aug →
ancient	13–6	-0.00	14%	1 Aug →
mirage	7–13	-0.04	15%	1 Aug →
anubis	14–16	-0.03	7%	1 Aug →
mirage	13–11	-0.03	6%	31 Jul →
nuke	13–10	-0.06	9%	31 Jul →
cache	4–13	-0.08	12%	31 Jul →
mirage	15–15	-0.06	20%	31 Jul →
inferno	13–6	-0.07	10%	31 Jul →
ancient	11–13	0.00	6%	31 Jul →
vertigo	6–13	-0.08	30%	30 Jul →
vertigo	13–9	0.01	11%	30 Jul →
nuke	15–15	0.01	19%	29 Jul →
mirage	5–12	-0.04	10%	29 Jul →
inferno	13–11	-0.03	15%	29 Jul →
nuke	15–15	-0.01	11%	29 Jul →
anubis	7–13	-0.00	15%	29 Jul →
ancient	12–16	-0.08	10%	28 Jul →
nuke	16–13	-0.01	12%	28 Jul →
anubis	13–7	-0.02	11%	28 Jul →
nuke	13–9	-0.05	17%	26 Jul →
dust2	13–3	-0.02	33%	26 Jul →
anubis	11–13	-0.04	6%	26 Jul →
nuke	13–6	0.01	18%	26 Jul →
anubis	13–1	0.10	8%	26 Jul →
dust2	13–11	-0.04	17%	26 Jul →
ancient	13–2	0.09	8%	26 Jul →
cache	13–10	0.06	7%	26 Jul →
inferno	8–13	-0.08	13%	26 Jul →
anubis	13–10	0.01	9%	25 Jul →
nuke	13–9	0.02	23%	25 Jul →
inferno	13–9	0.13	29%	25 Jul →
cache	13–11	0.07	19%	25 Jul →
nuke	15–15	0.07	11%	25 Jul →
anubis	3–13	-0.10	6%	25 Jul →
nuke	13–6	-0.02	11%	25 Jul →
dust2	14–16	-0.01	23%	25 Jul →
inferno	10–13	0.00	18%	24 Jul →
nuke	10–13	-0.03	13%	24 Jul →
nuke	11–13	-0.04	10%	24 Jul →
ancient	13–8	0.11	12%	24 Jul →
nuke	13–7	0.13	18%	24 Jul →
anubis	13–7	0.05	18%	24 Jul →
dust2	0–8	-0.07	6%	23 Jul →
anubis	13–9	0.06	13%	23 Jul →
inferno	11–13	-0.00	16%	23 Jul →
mirage	13–4	0.00	16%	23 Jul →
dust2	10–13	-0.03	20%	23 Jul →
nuke	13–11	-0.02	11%	22 Jul →
mirage	7–13	-0.06	8%	22 Jul →
cache	6–13	-0.04	11%	22 Jul →
ancient	16–13	-0.08	15%	22 Jul →
nuke	13–7	-0.04	8%	22 Jul →
ancient	5–13	-0.06	13%	22 Jul →
anubis	8–13	-0.07	15%	22 Jul →
office	13–11	-0.02	7%	22 Jul →
dust2	11–13	-0.06	10%	22 Jul →
nuke	7–13	-0.04	16%	22 Jul →
anubis	13–3	0.00	7%	22 Jul →
cache	2–13	-0.09	18%	21 Jul →
cache	9–13	-0.09	11%	21 Jul →
mirage	13–5	0.05	19%	21 Jul →
inferno	14–16	-0.04	16%	21 Jul →
ancient	13–9	-0.03	18%	21 Jul →
cache	13–7	-0.07	18%	21 Jul →
anubis	13–9	-0.03	22%	21 Jul →
nuke	11–13	-0.04	20%	20 Jul →
ancient	13–8	0.02	14%	20 Jul →
anubis	13–6	-0.05	28%	20 Jul →
cache	11–13	-0.03	13%	20 Jul →
cache	10–13	-0.04	10%	20 Jul →
nuke	13–4	0.01	9%	20 Jul →
inferno	3–9	-0.13	22%	20 Jul →
overpass	9–7	-0.11	16%	20 Jul →
nuke	9–6	0.04	18%	20 Jul →
vertigo	9–6	-0.08	13%	20 Jul →
anubis	7–13	-0.04	13%	20 Jul →
nuke	13–7	-0.08	22%	20 Jul →
cache	13–11	-0.01	14%	15 Jul →
inferno	9–13	-0.09	15%	15 Jul →
anubis	11–13	-0.01	10%	15 Jul →