𝕿𝖆𝖐𝖊𝕹𝖔𝖐𝖔 — CS2 Stats

76561199501564436[U:1:1541298708]Steam profile ↗✓ No bans

151Tracked matches56%Win rate2026Tracked since

CSDB Rating4.3 DevelopingPositional Player

Premier CS Rating7,363Light Blue band · top ~67.5% of ranked players (population est.)

CSDB Leaderboard#195479 of 258678 tracked

WingmanGold Nova II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 7,363 -1,383 26 Sept – 26 Oct · 10 days played

8,746Peak Premier in tracked matches

31Days played since 2026-09-19

Premier CS Rating

1,383 below peak (8,746)
-1,383 over 30 days · declining
Next: Blue band at 10,000 — 2,637 to go
Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim58

Positioning51

Utility24

0–100 skill scores via Leetify.

Recent form

COLD51–37–12Last 10051%Win rateWLLWTTLWLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +1.5pp headshot accuracy · +21ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

2–2–1 · 40% win rate
Avg rating -0.07
Avg headshot accuracy 22%
Avg reaction 639ms

Last 10

3–5–2 · 30% win rate
Avg rating -0.06
Avg headshot accuracy 21%
Avg reaction 559ms

Last 20

7–11–2 · 35% win rate
Avg rating -0.05
Avg headshot accuracy 20%
Avg reaction 549ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+3.2 against its own average).

Aim5.8

Utility2.4

Positioning5.1

Opening Duels0.2

Clutch0.0

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like jL 84% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

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

CT openings. Opening success drops from 48% on T to 31% on CT — first contacts on the defending side are being lost.

Reaction time. 600ms 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

Aim5.8

Positioning5.1

Utility2.4

Mechanics4.7

Opening Duels2.4

Win Impact6.9

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time562ms−78ms

first ⅓ avg 640ms → last ⅓ avg 562ms

Headshot accuracy23.2%−4.3%

first ⅓ avg 27.5% → last ⅓ avg 23.2%

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.

Personal bests

0.24Best match rating · 9–1 · inferno, 18 Oct →

61%Best headshot accuracy · 12–12 · mirage, 18 Oct →

250msFastest reaction time · 0–9 · inferno, 22 Oct →

13–0Biggest win · anubis, 25 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak

5–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

ancientBest map · 60% over 5mirageWeakest map · 43% over 23

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	32	15–17	47%	-0.01
inferno	A	26	15–11	58%	-0.01
mirage	C	23	10–13	43%	-0.02
nuke	A	7	4–3	57%	0.06
ancient	A	5	3–2	60%	0.04
anubis	—	3	3–0	100%	0.03
cache	—	3	1–2	33%	-0.01
vertigo	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (43% over 23). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches

45%Win rate

0.75Avg K/D

61.8ADR

57%Headshot %

Clutches & streaks

0%1v1 clutch win

33%1v2 clutch win

2Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	5	60%	0.72	11.6
Mirage	2	50%	0.68	10.0
Ancient	1	100%	0.60	9.0
Anubis	1	0%	1.20	18.0
Cache	1	0%	0.65	11.0
Nuke	1	0%	0.88	15.0

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.

23.9%Headshot accuracy

30.4%Accuracy (enemy spotted)

29.4%Spray accuracy

71.1%Counter-strafing

9.5°Preaim

600msReaction time

48.2%T opening success

31.4%CT opening success

0.32Enemies flashed / flash

4.0%Flash assists

9.45HE damage / grenade

2.90Flashes / 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 0.3196 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 31.4037% — below the 40% mark we flag

Spend your practice time on Mirage

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

43% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	9–5	-0.04	27%	29 Oct →
mirage	3–13	-0.10	24%	29 Oct →
inferno	5–9	-0.12	29%	28 Oct →
inferno	9–7	-0.04	11%	28 Oct →
vertigo	8–8	-0.06	19%	28 Oct →
inferno	8–8	-0.07	5%	28 Oct →
dust2	14–16	0.01	21%	26 Oct →
anubis	13–10	-0.03	17%	26 Oct →
dust2	6–13	-0.01	27%	26 Oct →
inferno	3–9	-0.15	30%	25 Oct →
mirage	10–13	-0.09	16%	24 Oct →
anubis	13–7	0.13	25%	24 Oct →
mirage	13–1	0.05	29%	24 Oct →
mirage	13–7	-0.04	12%	23 Oct →
inferno	0–9	-0.27	0%	22 Oct →
mirage	10–13	-0.09	13%	21 Oct →
ancient	10–13	-0.04	11%	20 Oct →
mirage	2–13	-0.03	36%	20 Oct →
mirage	9–13	0.00	33%	20 Oct →
mirage	13–8	0.01	19%	20 Oct →
inferno	6–9	-0.08	35%	20 Oct →
mirage	8–13	0.02	13%	19 Oct →
mirage	13–5	-0.00	22%	19 Oct →
mirage	13–4	0.05	33%	19 Oct →
inferno	9–5	-0.02	33%	19 Oct →
mirage	12–12	0.04	61%	18 Oct →
nuke	6–9	-0.11	8%	18 Oct →
nuke	7–9	0.09	24%	18 Oct →
inferno	9–1	0.24	36%	18 Oct →
inferno	9–7	0.07	21%	18 Oct →
inferno	9–2	0.06	32%	18 Oct →
mirage	13–8	-0.01	21%	17 Oct →
mirage	13–4	0.02	22%	17 Oct →
inferno	8–8	0.08	33%	17 Oct →
inferno	8–8	-0.09	25%	16 Oct →
inferno	9–6	0.00	23%	16 Oct →
mirage	10–13	-0.02	23%	16 Oct →
ancient	13–10	-0.03	27%	16 Oct →
inferno	9–1	0.07	23%	16 Oct →
dust2	4–13	-0.04	16%	16 Oct →
dust2	13–6	-0.08	16%	14 Oct →
mirage	13–1	0.02	28%	14 Oct →
mirage	13–1	0.04	29%	13 Oct →
mirage	12–12	-0.05	26%	13 Oct →
mirage	12–12	-0.11	14%	13 Oct →
inferno	9–5	0.03	50%	13 Oct →
inferno	9–7	-0.08	32%	13 Oct →
inferno	9–0	0.00	0%	13 Oct →
inferno	9–4	0.18	32%	12 Oct →
nuke	9–1	0.18	47%	12 Oct →
inferno	9–2	-0.10	27%	12 Oct →
inferno	9–5	-0.01	25%	12 Oct →
inferno	5–9	-0.10	29%	12 Oct →
ancient	13–3	0.11	42%	12 Oct →
ancient	1–13	-0.02	25%	12 Oct →
inferno	8–8	0.02	39%	12 Oct →
inferno	9–0	0.01	38%	12 Oct →
dust2	13–8	0.00	29%	11 Oct →
dust2	13–8	0.01	21%	11 Oct →
dust2	11–13	-0.04	18%	10 Oct →
dust2	9–13	-0.03	35%	10 Oct →
dust2	13–9	-0.00	38%	10 Oct →
inferno	9–3	0.05	45%	10 Oct →
dust2	13–11	-0.03	35%	9 Oct →
dust2	12–12	-0.03	33%	9 Oct →
dust2	13–3	0.01	47%	6 Oct →
dust2	12–12	-0.01	20%	6 Oct →
dust2	13–1	0.07	33%	6 Oct →
dust2	13–6	-0.05	16%	6 Oct →
nuke	13–3	-0.00	21%	6 Oct →
dust2	13–4	-0.00	26%	2 Oct →
dust2	5–0	0.02	33%	2 Oct →
inferno	8–13	-0.03	23%	2 Oct →
dust2	2–13	-0.00	33%	30 Sept →
dust2	12–12	0.02	30%	29 Sept →
mirage	11–13	-0.02	23%	29 Sept →
dust2	6–13	-0.03	23%	28 Sept →
dust2	12–12	-0.03	20%	28 Sept →
cache	4–13	-0.06	23%	28 Sept →
ancient	13–7	0.20	30%	26 Sept →
nuke	10–13	0.12	37%	26 Sept →
dust2	1–13	-0.13	25%	26 Sept →
dust2	4–13	-0.04	27%	25 Sept →
anubis	13–0	0.00	40%	25 Sept →
cache	13–8	0.08	26%	25 Sept →
nuke	13–2	0.14	29%	25 Sept →
dust2	13–4	0.03	30%	23 Sept →
dust2	13–10	-0.03	30%	23 Sept →
dust2	13–7	0.01	25%	23 Sept →
dust2	3–13	-0.01	19%	23 Sept →
dust2	13–11	-0.02	26%	23 Sept →
cache	6–13	-0.05	23%	23 Sept →
dust2	1–6	0.05	29%	22 Sept →
dust2	8–13	-0.06	11%	21 Sept →
mirage	13–7	-0.04	30%	21 Sept →
dust2	7–13	-0.02	28%	21 Sept →
inferno	7–9	0.01	48%	20 Sept →
mirage	4–10	0.01	33%	20 Sept →
mirage	3–13	-0.02	32%	20 Sept →
dust2	13–7	0.04	24%	19 Sept →