rubiks — CS2 Stats

76561198408922501[U:1:448656773]Steam profile ↗✓ No bans

541Tracked matches48%Win rate2020Tracked since

533Hours in CS

CSDB Rating3.9 Learning

WingmanSilver III

Ladder ranks via Leetify

Performance scores

Aim36

Positioning44

Utility39

0–100 skill scores via Leetify.

Recent form

STEADY46–47–7Last 10046%Win rateWLWLWLLWLW

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

Player DNA

Aim3.6

Aggression3.4

Utility3.9

Positioning4.4

Opening Duels0.4

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 71% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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. 618ms 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

Aim3.6

Positioning4.4

Utility3.9

Mechanics5.4

Opening Duels0.8

Win Impact4.4

Composite 3.9/10 (Learning), 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-0.04−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.04

Reaction time618ms−44ms

first ⅓ avg 663ms → last ⅓ avg 618ms

Headshot accuracy11.2%−0.4%

first ⅓ avg 11.6% → last ⅓ avg 11.2%

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 — overpass 13–5

13–1Biggest win — inferno

7Longest win streak

5–6In matches decided by ≤2 rounds

9Overtime games

Map breakdown

vertigoBest map · 80% over 5ancientWeakest map · 20% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	24	14–10	58%	-0.03
nuke	B	16	8–8	50%	-0.03
cache	D	12	3–9	25%	-0.05
ancient	D	10	2–8	20%	-0.05
anubis	C	9	4–5	44%	-0.02
overpass	B	8	4–4	50%	-0.02
vertigo	S	5	4–1	80%	-0.03
dust2	C	5	2–3	40%	-0.01
mirage	—	3	2–1	67%	-0.02
shelter	—	2	1–1	50%	-0.03
train	—	2	1–1	50%	-0.02
fachwerk	—	1	0–1	0%	-0.03
boulder	—	1	0–1	0%	-0.03
alpine	—	1	1–0	100%	-0.02
stronghold	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,335Lifetime kills

1.00K/D

1,480Matches

40.7%Match win rate

36.0%Headshot %

12.6%Shot accuracy · Top 50% of tracked players

2,133MVPs

533Hours (in match)

987Bombs planted

222Bombs defused

Most-used weapons

AK-477,276

AWP3,669

M4A4 / M4A1-S2,647

Negev1,420

AUG1,183

SG 5531,141

Desert Eagle1,111

P2000 / USP-S1,108

MAC-10917

Glock-18709

Lifetime map wins

3,101inferno

2,437nuke

1,127dust2

933vertigo

512train

129cbble

104office

37safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.8%Headshot accuracy

30.3%Accuracy (enemy spotted)

31.8%Spray accuracy

74.2%Counter-strafing

11.8°Preaim

618msReaction time

27.1%T opening success

36.4%CT opening success

0.45Enemies flashed / flash

2.7%Flash assists

6.91HE damage / grenade

5.43Flashes / 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 10.7819% — 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 0.4465 — 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 27.1464% — below the 40% mark we flag

Spend your practice time on Ancient

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 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
vertigo	13–8	-0.00	22%	5 Aug →
overpass	11–13	-0.09	11%	2 Aug →
cache	13–9	-0.07	15%	24 Jul →
shelter	9–13	-0.05	9%	24 Jul →
vertigo	13–11	-0.07	14%	23 Jul →
cache	7–13	-0.12	6%	23 Jul →
ancient	11–13	-0.03	14%	21 Jul →
inferno	16–14	-0.01	12%	21 Jul →
inferno	9–13	-0.07	3%	21 Jul →
mirage	13–8	-0.05	13%	21 Jul →
ancient	13–9	-0.01	18%	20 Jul →
nuke	13–9	-0.04	9%	20 Jul →
cache	15–15	-0.07	12%	18 Jul →
mirage	5–13	-0.02	11%	17 Jul →
anubis	13–3	0.02	2%	17 Jul →
inferno	13–3	-0.03	17%	17 Jul →
nuke	10–13	-0.05	10%	17 Jul →
cache	13–16	-0.07	9%	12 Jul →
ancient	15–15	-0.08	10%	11 Jul →
inferno	5–13	-0.06	6%	10 Jul →
cache	11–13	-0.07	9%	9 Jul →
shelter	13–7	-0.01	7%	9 Jul →
fachwerk	12–12	-0.03	14%	9 Jul →
boulder	10–13	-0.03	17%	8 Jul →
nuke	7–13	-0.02	7%	6 Jul →
inferno	13–10	-0.04	9%	6 Jul →
inferno	13–2	0.01	13%	4 Jul →
ancient	9–13	-0.05	5%	4 Jul →
nuke	13–5	0.00	11%	4 Jul →
ancient	11–13	-0.06	5%	4 Jul →
inferno	9–13	-0.06	23%	3 Jul →
overpass	13–5	0.12	13%	3 Jul →
ancient	5–13	-0.06	12%	30 Jun →
overpass	8–13	-0.05	10%	30 Jun →
cache	8–13	-0.07	15%	30 Jun →
alpine	13–6	-0.02	47%	29 Jun →
nuke	13–5	-0.03	17%	29 Jun →
anubis	11–13	-0.05	13%	25 Jun →
ancient	15–15	-0.08	15%	25 Jun →
ancient	13–10	-0.04	11%	19 Jun →
inferno	13–6	-0.04	9%	18 Jun →
vertigo	13–10	-0.07	11%	14 Jun →
nuke	10–13	0.01	18%	14 Jun →
inferno	8–13	-0.07	16%	7 Jun →
nuke	15–15	-0.03	12%	7 Jun →
nuke	7–13	-0.05	5%	27 May →
cache	8–13	-0.03	15%	12 May →
cache	13–9	-0.04	13%	3 May →
cache	9–13	-0.07	14%	3 May →
cache	8–13	-0.00	10%	2 May →
cache	12–12	-0.03	7%	2 May →
cache	13–6	-0.01	18%	1 May →
dust2	5–13	-0.04	9%	19 Apr →
inferno	9–13	-0.08	8%	19 Apr →
train	7–13	-0.06	10%	18 Apr →
vertigo	2–9	-0.01	10%	18 Apr →
stronghold	12–12	-0.01	21%	18 Apr →
inferno	13–6	0.00	15%	9 Apr →
train	7–0	0.01	16%	9 Apr →
nuke	6–13	-0.02	6%	9 Apr →
anubis	9–13	-0.04	18%	9 Apr →
overpass	13–7	-0.02	14%	2 Apr →
overpass	6–13	-0.04	9%	1 Apr →
inferno	13–1	-0.02	0%	1 Apr →
dust2	7–13	-0.02	28%	1 Apr →
anubis	8–13	-0.06	27%	31 Mar →
anubis	13–5	-0.01	23%	31 Mar →
nuke	13–11	-0.07	5%	31 Mar →
dust2	13–9	0.02	9%	30 Mar →
anubis	13–5	0.02	10%	30 Mar →
inferno	13–5	-0.03	19%	30 Mar →
nuke	5–13	-0.08	29%	30 Mar →
nuke	13–8	-0.01	19%	25 Mar →
inferno	6–13	0.01	22%	22 Mar →
inferno	3–13	-0.10	13%	16 Mar →
nuke	13–1	0.01	6%	16 Mar →
inferno	13–9	0.03	9%	15 Mar →
inferno	10–13	-0.05	11%	9 Mar →
vertigo	13–9	-0.00	15%	9 Mar →
dust2	8–13	-0.01	12%	8 Mar →
anubis	8–13	0.02	4%	8 Mar →
inferno	5–13	-0.05	5%	8 Mar →
nuke	7–13	-0.11	7%	5 Mar →
overpass	7–13	-0.03	10%	5 Mar →
mirage	13–9	0.01	17%	5 Mar →
nuke	13–5	0.01	12%	4 Mar →
ancient	9–13	-0.07	6%	3 Mar →
anubis	6–13	-0.09	8%	3 Mar →
ancient	11–13	-0.01	17%	2 Mar →
overpass	13–9	-0.03	4%	28 Feb →
inferno	16–12	-0.05	13%	28 Feb →
dust2	13–10	0.01	16%	28 Feb →
inferno	13–16	0.02	9%	25 Feb →
inferno	13–8	-0.09	16%	25 Feb →
inferno	13–11	-0.02	9%	24 Feb →
nuke	13–4	-0.01	7%	24 Feb →
anubis	13–6	0.03	13%	23 Feb →
inferno	13–4	0.00	9%	23 Feb →
inferno	16–12	-0.02	10%	22 Feb →
overpass	13–11	-0.05	10%	22 Feb →