unlucky | octa — CS2 Stats

US76561199144426025[U:1:1184160297]Steam profile ↗✓ No bans

1,848Tracked matches79%Win rate2022Tracked since

1,132Hours in CS

CSDB Rating6.6 SolidHybrid Rifler

Premier CS Rating15,108Purple band · top ~28% of ranked players (population est.)

CSDB Leaderboard#10066 of 15646 tracked

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median	vs Pink band
Headshot rate	34.3%	48.1%	13.8% short
Shot accuracy	11.4%	12.9%	1.5% short
Kill/death ratio	1.38	1.08	above
Match win rate	45.5%	46.5%	1.0% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim86

Positioning54

Utility46

0–100 skill scores via Leetify.

Recent form

STEADY61–28–11Last 10061%Win rateWTWWWLWWWW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim8.6

Aggression5.8

Utility4.6

Positioning5.4

Opening Duels2.0

Clutch3.0

Sharp aimer

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 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.6

Positioning5.4

Utility4.6

Mechanics6.9

Opening Duels2.0

Win Impact10.0

Composite 6.6/10 (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 0.03 → last ⅓ avg 0.02

Reaction time467ms−131ms

first ⅓ avg 598ms → last ⅓ avg 467ms

Headshot accuracy17.9%−0.5%

first ⅓ avg 18.4% → last ⅓ avg 17.9%

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

0.37Best rating — inferno 9–0

13–1Biggest win — mirage

11Longest win streak

8–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

mirageBest map · 69% over 35ancientWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	35	24–11	69%	0.06
inferno	A	33	20–13	61%	0.06
dust2	A	11	6–5	55%	0.03
anubis	C	9	4–5	44%	0.02
nuke	A	5	3–2	60%	0.03
ancient	C	5	2–3	40%	0.09
poseidon	—	1	1–0	100%	-0.10
vertigo	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,405Lifetime kills

1.38K/D · Top 10% of tracked players

3,479Matches

45.5%Match win rate

34.3%Headshot %

11.4%Shot accuracy

8,473MVPs

1,132Hours (in match)

3,385Bombs planted

789Bombs defused

Most-used weapons

AK-4715,773

Desert Eagle14,849

M4A4 / M4A1-S9,312

AWP8,361

P2000 / USP-S4,001

Glock-183,140

MP92,238

FAMAS1,821

Galil AR1,423

Molotov1,387

Lifetime map wins

7,484inferno

3,182dust2

1,003vertigo

693nuke

115train

90office

38cbble

16lake

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

Faceit stats

Combat

303Matches

53%Win rate

1.22Avg K/D

91.3ADR

34%Headshot %

Clutches & streaks

35%1v1 clutch win

21%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	43	60%	1.44	18.5
Dust2	23	70%	1.52	20.8
Anubis	21	67%	1.96	19.6
Ancient	18	67%	1.38	18.0
Inferno	11	45%	1.04	16.8
Nuke	5	20%	1.20	20.0
Cache	2	0%	0.77	16.5
Overpass	2	100%	0.92	13.5

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.

15.0%Headshot accuracy

39.9%Accuracy (enemy spotted)

37.6%Spray accuracy

81.1%Counter-strafing

8.3°Preaim

471msReaction time

35.3%T opening success

40.8%CT opening success

0.48Enemies flashed / flash

2.4%Flash assists

10.23HE damage / grenade

8.46Flashes / 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 14.9913% — 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 0.4752 — 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 35.2917% — 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.

40% win rate across 5 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
inferno	13–10	0.10	19%	27 Jul →
anubis	15–15	0.05	13%	26 Jul →
nuke	13–10	0.08	24%	26 Jul →
dust2	13–10	0.07	19%	26 Jul →
anubis	13–11	-0.10	12%	26 Jul →
anubis	0–13	-0.07	13%	26 Jul →
mirage	13–11	0.06	16%	26 Jul →
anubis	13–10	0.15	17%	26 Jul →
inferno	13–8	0.10	17%	26 Jul →
mirage	13–7	0.06	25%	26 Jul →
ancient	13–2	0.16	36%	26 Jul →
dust2	13–4	0.22	27%	26 Jul →
ancient	13–8	0.11	19%	26 Jul →
mirage	13–3	0.04	29%	26 Jul →
inferno	13–7	-0.03	7%	26 Jul →
dust2	13–8	-0.06	5%	26 Jul →
dust2	13–5	0.09	10%	26 Jul →
dust2	8–13	-0.04	13%	25 Jul →
mirage	13–8	-0.02	15%	25 Jul →
anubis	13–11	0.01	7%	25 Jul →
mirage	4–13	0.03	19%	25 Jul →
dust2	13–10	-0.06	8%	25 Jul →
inferno	13–8	-0.00	10%	25 Jul →
nuke	13–3	0.02	8%	25 Jul →
anubis	8–13	0.05	13%	25 Jul →
mirage	13–10	-0.01	16%	25 Jul →
mirage	13–1	0.08	16%	25 Jul →
anubis	16–12	0.12	7%	24 Jul →
dust2	5–13	-0.09	10%	22 Jul →
inferno	2–9	-0.12	17%	14 Jul →
poseidon	9–2	-0.10	22%	14 Jul →
inferno	9–2	0.01	0%	14 Jul →
inferno	9–2	-0.07	100%	14 Jul →
inferno	9–4	-0.20	0%	14 Jul →
ancient	6–13	0.01	12%	13 Jul →
nuke	13–8	0.02	12%	13 Jul →
mirage	10–13	0.03	10%	10 Jul →
mirage	13–11	0.08	14%	3 Jun →
inferno	9–5	0.07	9%	2 Jun →
mirage	13–9	0.03	13%	2 Jun →
mirage	8–13	0.06	14%	1 Jun →
mirage	12–12	0.12	12%	29 May →
mirage	13–4	0.08	11%	16 May →
mirage	13–10	0.09	10%	27 Apr →
mirage	13–6	0.09	21%	24 Apr →
mirage	13–8	0.08	8%	22 Apr →
mirage	13–8	0.03	10%	8 Apr →
dust2	6–13	0.06	22%	4 Apr →
mirage	13–4	0.20	19%	27 Mar →
inferno	3–9	0.01	29%	27 Mar →
inferno	8–8	0.11	23%	27 Mar →
nuke	8–8	-0.00	8%	27 Mar →
inferno	8–8	0.32	30%	27 Mar →
inferno	9–6	0.08	5%	27 Mar →
inferno	9–0	0.14	33%	27 Mar →
inferno	9–3	0.33	24%	27 Mar →
inferno	7–9	0.06	10%	26 Mar →
inferno	9–0	0.37	40%	26 Mar →
inferno	9–3	0.17	20%	26 Mar →
mirage	13–5	0.10	39%	25 Mar →
mirage	12–12	0.12	25%	25 Mar →
mirage	13–3	0.10	16%	25 Mar →
inferno	13–6	0.09	25%	25 Mar →
ancient	14–16	0.17	19%	25 Mar →
mirage	13–10	-0.03	28%	24 Mar →
anubis	8–13	0.04	18%	24 Mar →
inferno	7–9	-0.02	31%	24 Mar →
inferno	8–8	0.06	15%	23 Mar →
inferno	8–8	0.08	38%	23 Mar →
inferno	9–3	0.02	19%	23 Mar →
mirage	11–13	0.21	22%	23 Mar →
inferno	9–4	0.24	14%	21 Mar →
inferno	8–8	-0.04	24%	21 Mar →
mirage	13–7	0.01	9%	21 Mar →
mirage	13–8	0.06	19%	21 Mar →
mirage	13–11	0.01	18%	21 Mar →
mirage	13–7	0.09	20%	21 Mar →
dust2	13–9	0.09	14%	21 Mar →
inferno	9–7	0.04	27%	21 Mar →
inferno	9–7	0.07	23%	21 Mar →
mirage	11–13	-0.03	16%	20 Mar →
ancient	1–13	-0.01	13%	20 Mar →
dust2	10–13	0.01	12%	19 Mar →
mirage	13–6	0.02	11%	19 Mar →
inferno	8–8	0.01	25%	19 Mar →
vertigo	9–7	-0.02	29%	18 Mar →
inferno	9–4	0.16	23%	18 Mar →
nuke	4–9	0.04	9%	18 Mar →
inferno	3–9	-0.11	17%	18 Mar →
mirage	12–12	0.06	19%	17 Mar →
inferno	9–0	0.07	23%	17 Mar →
mirage	2–13	-0.01	5%	16 Mar →
inferno	4–9	-0.08	14%	16 Mar →
inferno	5–9	-0.05	25%	16 Mar →
mirage	13–8	0.07	12%	14 Mar →
mirage	13–5	0.04	13%	14 Mar →
dust2	2–13	0.00	26%	14 Mar →
anubis	5–13	-0.04	17%	13 Mar →
mirage	2–13	0.02	17%	13 Mar →
mirage	3–13	0.00	18%	13 Mar →