𝓐𝓵𝓲𝓬𝓮 — CS2 Stats

LT76561199090788985[U:1:1130523257]Steam profile ↗✓ No bans

934Tracked matches71%Win rate2023Tracked since

CSDB Rating7.0 StrongPositional Player

Premier CS Rating19,179Top 50% of 213,542 CSDB-tracked playersPurple band · top ~11.8% of ranked players (population est.)

CSDB Leaderboard#97210 of 260203 tracked

WingmanMaster Guardian I

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (3 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: 19,179 +2,671 6 May – 4 Nov · 15 days played

19,269Peak Premier in tracked matches

37Days played since 2026-05-06

Premier CS Rating

90 below peak (19,269)
+280 over 30 days · steady
Next: Pink band at 20,000 — 821 to go
Reached: Purple band · Blue band · 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

Aim90

Positioning56

Utility55

0–100 skill scores via Leetify.

Recent form

HOT55–40–5Last 10055%Win rateWWWWWWLWLW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +5.0pp headshot accuracy · +116ms reaction

Win rate 0pp 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

5–0 · 100% win rate
Avg rating -0.01
Avg headshot accuracy 37%
Avg reaction 598ms

Last 10

8–2 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 36%
Avg reaction 590ms

Last 20

16–3–1 · 80% win rate
Avg rating 0.04
Avg headshot accuracy 34%
Avg reaction 532ms

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 (+1.4 against its own average).

Aim9.0

Utility5.5

Positioning5.6

Opening Duels1.6

Sharp aimerStrong T-side opener

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 ropz 93% playstyle similarity

Most alike: utility contribution, positioning 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 34 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.

CT openings. Opening success drops from 54% on T to 27% on CT — first contacts on the defending side are being lost.

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

Aim9.0

Positioning5.6

Utility5.5

Mechanics7.3

Opening Duels3.1

Win Impact10.0

Composite 7.0/10 (Strong), 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 rating0.05−0.00

first ⅓ avg 0.05 → last ⅓ avg 0.05

Reaction time517ms−115ms

first ⅓ avg 632ms → last ⅓ avg 517ms

Headshot accuracy32.2%−3.8%

first ⅓ avg 36.0% → last ⅓ avg 32.2%

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

0.33Best match rating · 12–12 · inferno, 1 Nov →

57%Best headshot accuracy · 13–1 · mirage, 19 Jul →

344msFastest reaction time · 4–13 · mirage, 15 Oct →

13–0Biggest win · nuke, 16 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W6Current streak

5–4In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 75% over 8dust2Weakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	23	11–12	48%	0.04
inferno	S	20	14–6	70%	0.06
nuke	B	15	7–8	47%	0.03
dust2	C	14	6–8	43%	0.03
cache	S	13	9–4	69%	0.05
ancient	S	8	6–2	75%	0.06
anubis	—	4	2–2	50%	0.01
train	—	2	0–2	0%	0.03
vertigo	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

32.7%Headshot accuracy

34.0%Accuracy (enemy spotted)

29.8%Spray accuracy

83.0%Counter-strafing

7.2°Preaim

520msReaction time

54.5%T opening success

27.4%CT opening success

0.53Enemies flashed / flash

6.4%Flash assists

6.86HE damage / grenade

15.92Flashes / 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.

Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 27.3727% — below the 40% mark we flag

Spend your practice time on Dust 2

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–3	-0.00	35%	5 Nov →
mirage	13–9	-0.01	55%	5 Nov →
dust2	13–10	0.03	40%	5 Nov →
mirage	13–11	-0.03	25%	5 Nov →
mirage	13–1	-0.03	29%	5 Nov →
cache	13–5	0.13	34%	5 Nov →
inferno	5–13	0.05	29%	5 Nov →
anubis	13–5	-0.01	33%	4 Nov →
mirage	8–13	0.07	51%	4 Nov →
cache	13–9	0.08	31%	1 Nov →
ancient	13–8	-0.02	32%	1 Nov →
cache	13–8	-0.04	20%	1 Nov →
inferno	13–6	0.01	17%	1 Nov →
inferno	12–12	0.33	43%	1 Nov →
inferno	13–2	0.04	23%	1 Nov →
inferno	8–13	0.03	26%	31 Oct →
inferno	13–8	-0.00	29%	30 Oct →
ancient	13–11	0.05	36%	30 Oct →
inferno	13–11	0.07	56%	30 Oct →
inferno	13–3	0.10	30%	26 Oct →
nuke	13–9	0.11	33%	26 Oct →
mirage	1–13	0.00	20%	22 Oct →
mirage	10–13	0.09	28%	22 Oct →
inferno	13–6	0.04	33%	21 Oct →
mirage	10–13	-0.02	17%	20 Oct →
nuke	12–12	0.02	35%	20 Oct →
anubis	5–13	0.06	23%	19 Oct →
mirage	13–8	0.05	24%	19 Oct →
inferno	13–7	0.03	30%	19 Oct →
mirage	8–13	-0.00	45%	19 Oct →
cache	10–13	0.05	26%	19 Oct →
dust2	13–7	0.16	38%	17 Oct →
mirage	4–13	0.07	33%	15 Oct →
nuke	2–10	0.01	44%	12 Oct →
inferno	13–10	-0.04	24%	12 Oct →
cache	16–13	0.10	31%	12 Oct →
inferno	13–6	0.07	25%	12 Oct →
dust2	6–13	-0.03	28%	12 Oct →
nuke	4–13	-0.04	25%	11 Oct →
mirage	13–16	0.07	44%	8 Oct →
mirage	13–5	0.08	28%	7 Oct →
nuke	9–13	0.03	33%	7 Oct →
dust2	11–13	0.04	39%	7 Oct →
inferno	13–7	0.05	35%	7 Oct →
nuke	12–12	-0.07	14%	7 Oct →
mirage	15–15	0.04	14%	4 Oct →
nuke	13–10	0.04	26%	4 Oct →
anubis	13–7	0.06	30%	4 Oct →
mirage	4–6	0.00	50%	4 Oct →
anubis	3–13	-0.08	50%	4 Oct →
dust2	11–13	-0.03	18%	3 Oct →
train	10–13	0.11	19%	3 Oct →
nuke	10–13	-0.01	31%	3 Oct →
inferno	8–13	0.09	38%	2 Oct →
mirage	13–2	0.04	21%	2 Oct →
nuke	13–4	0.19	25%	2 Oct →
cache	13–9	0.11	24%	1 Oct →
dust2	13–3	-0.07	41%	1 Oct →
nuke	10–13	0.02	37%	29 Sept →
dust2	5–13	0.03	35%	29 Sept →
ancient	13–8	0.04	23%	29 Sept →
inferno	13–8	0.02	26%	24 Sept →
cache	13–3	0.17	21%	24 Sept →
ancient	13–1	-0.03	37%	24 Sept →
nuke	13–8	0.05	34%	24 Sept →
inferno	13–1	0.07	19%	24 Sept →
train	2–13	-0.04	42%	24 Sept →
vertigo	2–5	0.02	43%	22 Sept →
dust2	13–1	0.18	29%	22 Sept →
inferno	9–1	-0.01	23%	16 Sept →
nuke	13–0	-0.03	40%	16 Sept →
mirage	13–8	-0.00	21%	16 Sept →
dust2	14–16	0.13	33%	15 Sept →
ancient	10–13	0.14	31%	11 Sept →
mirage	13–16	0.04	52%	1 Aug →
dust2	2–13	-0.08	50%	24 Jul →
mirage	13–9	0.05	30%	24 Jul →
dust2	13–9	0.10	27%	19 Jul →
nuke	16–13	0.05	29%	19 Jul →
cache	6–13	-0.05	35%	19 Jul →
cache	13–6	0.01	27%	19 Jul →
mirage	7–13	0.05	34%	19 Jul →
mirage	13–1	0.06	57%	19 Jul →
nuke	10–13	0.04	48%	18 Jul →
mirage	13–11	0.08	35%	15 Jul →
dust2	8–13	0.00	43%	15 Jul →
inferno	12–12	0.09	45%	10 Jul →
inferno	13–5	0.12	25%	9 Jul →
ancient	13–6	0.17	33%	9 Jul →
mirage	7–13	0.01	55%	9 Jul →
dust2	2–7	0.02	55%	21 May →
inferno	9–13	0.03	36%	21 May →
cache	9–13	0.08	29%	20 May →
cache	8–13	0.02	28%	10 May →
ancient	1–5	-0.00	50%	6 May →
cache	13–10	0.02	33%	6 May →
nuke	13–2	0.00	31%	6 May →
dust2	13–3	-0.00	25%	6 May →
ancient	13–8	0.09	30%	6 May →
mirage	13–11	0.11	29%	6 May →