Sindsygcykel — CS2 Stats

76561198095857629[U:1:135591901]

3,718Tracked matches52%Win rate2020Tracked since

3,982Hours in CS

CSDB Rating5.3 DevelopingAggressive Rifler

Premier CS Rating18,535Purple band · top ~14.3% of ranked players (population est.)

CSDB Leaderboard#7230 of 13703 tracked

WingmanSupreme Master First Class

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	50.4%	48.1%	above
Shot accuracy	14.1%	12.9%	above
Kill/death ratio	1.10	1.08	meets
Match win rate	47.1%	46.5%	meets

Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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Performance scores

Aim71

Positioning47

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateLWWWWLWLLT

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.1

Aggression7.8

Utility4.3

Positioning4.7

Opening Duels3.1

Clutch3.6

Limited utility dependence

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 ropz 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 596ms 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

Aim7.1

Positioning4.7

Utility4.3

Mechanics4.9

Opening Duels3.1

Win Impact5.6

Composite 5.3/10 (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 rating0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.00

Reaction time602ms−10ms

first ⅓ avg 612ms → last ⅓ avg 602ms

Headshot accuracy16.9%+0.7%

first ⅓ avg 16.2% → last ⅓ avg 16.9%

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

0.10Best rating — inferno 13–2

13–2Biggest win — inferno

4Longest win streak

8–11In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 63% over 16anubisWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	22	11–11	50%	-0.00
nuke	A	16	10–6	63%	-0.02
cache	B	14	7–7	50%	-0.01
ancient	B	14	7–7	50%	-0.01
mirage	C	8	3–5	38%	-0.00
dust2	D	7	2–5	29%	-0.01
anubis	D	7	1–6	14%	0.01
overpass	—	3	2–1	67%	-0.00
vertigo	—	3	2–1	67%	0.03
train	—	3	1–2	33%	-0.03
stronghold	—	2	2–0	100%	-0.01
warden	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

191,001Lifetime kills

1.10K/D · Top 50% of tracked players

7,608Matches

47.1%Match win rate · Top 50% of tracked players

50.4%Headshot % · Top 50% of tracked players

14.1%Shot accuracy · Top 50% of tracked players

19,621MVPs

3,982Hours (in match)

5,578Bombs planted

2,416Bombs defused

Most-used weapons

AK-4759,104

M4A4 / M4A1-S40,959

AWP14,347

P2000 / USP-S11,260

Desert Eagle9,786

Glock-186,741

Galil AR5,531

P2505,346

FAMAS4,968

MAC-103,680

Lifetime map wins

15,536inferno

11,694nuke

10,840dust2

6,182vertigo

4,482train

2,366cbble

154office

51bank

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

Faceit stats

Combat

2,534Matches

51%Win rate

1.11Avg K/D

82.0ADR

40%Headshot %

Clutches & streaks

38%1v1 clutch win

21%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	59	51%	1.03	16.5
Inferno	56	52%	1.06	15.7
Anubis	55	44%	1.11	14.3
Nuke	53	57%	1.14	15.7
Vertigo	33	58%	1.10	16.7
Mirage	25	48%	0.99	15.6
Dust2	25	52%	0.93	15.0
Overpass	14	43%	1.12	16.8

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.

17.2%Headshot accuracy

35.8%Accuracy (enemy spotted)

37.6%Spray accuracy

72.1%Counter-strafing

7.7°Preaim

596msReaction time

38.3%T opening success

46.1%CT opening success

0.41Enemies flashed / flash

2.0%Flash assists

10.15HE damage / grenade

2.91Flashes / 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.

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 0.4052 — 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 38.2941% — below the 40% mark we flag

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.

14% win rate across 7 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	11–13	0.03	25%	27 Aug →
nuke	16–14	0.01	18%	19 Aug →
cache	13–7	0.02	24%	19 Aug →
nuke	13–8	-0.04	20%	19 Aug →
inferno	13–7	-0.01	18%	18 Aug →
cache	11–13	-0.02	12%	18 Aug →
cache	13–9	0.07	21%	18 Aug →
ancient	10–13	0.02	11%	18 Aug →
inferno	5–13	0.04	10%	18 Aug →
dust2	15–15	0.09	17%	18 Aug →
mirage	9–13	0.03	24%	15 Aug →
nuke	13–11	0.01	14%	15 Aug →
dust2	11–13	-0.02	17%	14 Aug →
inferno	7–13	-0.01	24%	14 Aug →
ancient	13–11	-0.03	11%	9 Aug →
ancient	13–9	0.03	18%	9 Aug →
inferno	6–13	-0.06	9%	9 Aug →
nuke	13–7	-0.01	15%	9 Aug →
mirage	13–9	-0.05	18%	9 Aug →
cache	11–13	-0.01	14%	9 Aug →
inferno	14–16	-0.04	14%	9 Aug →
mirage	13–8	0.06	29%	9 Aug →
nuke	8–13	-0.07	22%	9 Aug →
inferno	13–10	-0.04	11%	8 Aug →
nuke	13–11	-0.05	21%	7 Aug →
inferno	13–9	0.01	19%	7 Aug →
ancient	6–13	-0.03	11%	3 Aug →
anubis	11–13	0.05	20%	3 Aug →
inferno	13–8	0.08	13%	3 Aug →
nuke	6–13	-0.03	15%	1 Aug →
cache	13–8	0.01	18%	31 Jul →
ancient	13–6	0.04	12%	31 Jul →
mirage	11–13	-0.01	13%	30 Jul →
cache	4–13	-0.02	33%	30 Jul →
inferno	13–10	0.04	21%	30 Jul →
mirage	13–9	0.06	19%	30 Jul →
dust2	8–13	-0.01	18%	29 Jul →
ancient	4–13	-0.00	17%	29 Jul →
inferno	13–10	-0.01	17%	29 Jul →
anubis	13–11	0.04	18%	17 Jul →
inferno	13–2	0.10	24%	17 Jul →
ancient	12–16	0.02	15%	17 Jul →
anubis	8–13	-0.01	17%	17 Jul →
inferno	13–9	-0.00	16%	16 Jul →
inferno	11–2	-0.01	29%	16 Jul →
inferno	13–10	-0.01	13%	16 Jul →
nuke	7–13	0.06	15%	16 Jul →
dust2	1–13	-0.07	8%	16 Jul →
inferno	11–13	-0.06	18%	9 Jul →
cache	0–13	-0.03	14%	9 Jul →
cache	16–14	-0.00	21%	8 Jul →
mirage	7–13	-0.03	22%	4 Jul →
dust2	13–10	-0.03	17%	4 Jul →
ancient	2–13	-0.07	15%	28 Jun →
inferno	4–13	-0.08	11%	28 Jun →
nuke	7–13	-0.06	12%	21 Jun →
inferno	15–15	0.03	24%	20 Jun →
ancient	6–13	-0.03	23%	20 Jun →
ancient	13–7	0.01	18%	20 Jun →
ancient	13–4	-0.02	22%	20 Jun →
overpass	13–7	0.03	23%	18 Jun →
anubis	4–13	-0.01	17%	18 Jun →
nuke	13–7	-0.06	20%	18 Jun →
ancient	13–3	-0.03	9%	18 Jun →
inferno	9–13	-0.09	9%	17 Jun →
overpass	13–2	0.00	19%	17 Jun →
nuke	13–10	-0.03	19%	17 Jun →
inferno	16–13	0.02	20%	17 Jun →
nuke	13–11	-0.01	18%	17 Jun →
ancient	6–13	-0.07	14%	4 Jun →
nuke	5–13	-0.01	18%	4 Jun →
nuke	13–7	-0.02	10%	3 Jun →
dust2	13–9	0.01	16%	3 Jun →
cache	16–14	-0.03	9%	29 May →
anubis	8–13	0.01	17%	29 May →
cache	7–13	-0.04	16%	29 May →
vertigo	13–4	0.04	12%	27 May →
stronghold	5–0	-0.03	29%	27 May →
train	8–13	-0.02	9%	27 May →
cache	13–8	0.01	15%	27 May →
nuke	0–2	-0.11	0%	27 May →
overpass	12–16	-0.03	18%	16 May →
anubis	11–13	-0.05	10%	13 May →
mirage	7–13	-0.01	9%	12 May →
vertigo	13–5	0.03	17%	12 May →
train	5–13	-0.04	17%	12 May →
cache	5–13	-0.02	21%	12 May →
anubis	6–13	0.02	13%	12 May →
inferno	4–13	-0.05	8%	12 May →
dust2	6–13	-0.05	21%	12 May →
inferno	5–13	0.02	25%	10 May →
nuke	13–8	0.06	24%	9 May →
ancient	13–6	0.00	17%	9 May →
mirage	8–13	-0.07	26%	9 May →
warden	13–8	0.02	23%	9 May →
cache	13–6	0.05	17%	9 May →
vertigo	11–13	0.03	19%	9 May →
train	13–8	-0.03	15%	9 May →
stronghold	13–7	0.02	8%	9 May →
cache	8–13	-0.04	24%	9 May →