𝓢𝓲𝓿𝓮𝓻𝓽𝓼𝓪 — CS2 Stats

76561199038155461[U:1:1077889733]Steam profile ↗✓ No bans

757Tracked matches55%Win rate2023Tracked since

CSDB Rating6.5 SolidPositional Player

Premier CS Rating18,805Top 50% of 192,959 CSDB-tracked playersPurple band · top ~13.3% of ranked players (population est.)

CSDB Leaderboard#94344 of 240680 tracked

FaceitLevel 7 · 1,159 ELOTop 42.3% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

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

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 33 days played since 5 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 18,805 +3,488 5 Jul – 23 Sept · 21 days played

20,122Peak Premier in tracked matches

1,159Highest Faceit ELO seen on CSDB

33Days played since 2026-07-05

Faceit ELO

At peak — 1,159
Next: Level 6 at 1,201 — 42 to go
Reached: Level 5 · Level 4 · Level 3 · Level 2
Level 5 first seen 2026-08-29
Level 4 first seen 2026-08-29

Premier CS Rating

1,317 below peak (20,122)
+931 over 30 days · improving
+3,488 over 90 days
Next: Pink band at 20,000 — 1,195 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-29
Blue band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim86

Positioning56

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY49–48–3Last 10049%Win rateLWLWWWWLWL

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating · +1.8pp headshot accuracy · −42ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 26%
Avg reaction 511ms

Last 10

6–4 · 60% win rate
Avg rating 0.04
Avg headshot accuracy 26%
Avg reaction 504ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 25%
Avg reaction 525ms

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 (+1.5 against its own average).

Aim8.6

Utility4.0

Positioning5.6

Opening Duels4.0

Clutch2.6

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.

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 95% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: 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

Strengths

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

Areas to improve

Positioning. Positioning trails aim by 30 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.

Reaction time. 558ms 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

Aim8.6

Positioning5.6

Utility4.0

Mechanics7.5

Opening Duels3.7

Win Impact6.7

Composite 6.5/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time547ms−98ms

first ⅓ avg 645ms → last ⅓ avg 547ms

Headshot accuracy26.0%+1.7%

first ⅓ avg 24.3% → last ⅓ avg 26.0%

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 · 13–0 · mirage, 11 Aug →

62%Best headshot accuracy · 9–6 · inferno, 22 Aug →

266msFastest reaction time · 5–9 · inferno, 29 Aug →

13–0Biggest win · mirage, 11 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak

6–3In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 83% over 6nukeWeakest map · 38% over 13

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	31	13–18	42%	0.02
inferno	B	17	8–9	47%	-0.03
nuke	C	13	5–8	38%	-0.01
cache	B	12	6–6	50%	0.03
dust2	B	11	5–6	45%	0.04
ancient	S	8	6–2	75%	0.05
anubis	S	6	5–1	83%	0.04
vertigo	—	1	0–1	0%	0.02
alpine	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

89Matches

56%Win rate

1.29Avg K/D

86.3ADR

50%Headshot %

Clutches & streaks

33%1v1 clutch win

23%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	27	63%	1.54	17.7
Ancient	16	56%	1.16	18.8
Dust2	15	53%	1.31	19.0
Nuke	13	69%	1.33	19.8
Inferno	8	38%	1.08	13.8
Cache	3	33%	0.85	13.3
Anubis	2	0%	1.00	16.5
Overpass	2	50%	1.14	12.5

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.

23.6%Headshot accuracy

38.3%Accuracy (enemy spotted)

38.9%Spray accuracy

83.8%Counter-strafing

9.3°Preaim

558msReaction time

38.5%T opening success

51.3%CT opening success

0.41Enemies flashed / flash

9.7%Flash assists

8.04HE damage / grenade

8.13Flashes / 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 0.406 — 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 38.4696% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	0.06	31%	23 Sept →
inferno	16–13	0.00	20%	23 Sept →
anubis	8–13	0.04	27%	22 Sept →
anubis	13–8	-0.02	20%	22 Sept →
mirage	13–11	0.03	31%	22 Sept →
inferno	13–4	0.08	38%	20 Sept →
mirage	13–3	0.05	26%	19 Sept →
inferno	8–13	-0.02	23%	19 Sept →
ancient	13–3	0.13	30%	19 Sept →
nuke	7–13	-0.00	18%	19 Sept →
anubis	13–7	0.10	24%	14 Sept →
dust2	15–15	-0.01	23%	10 Sept →
inferno	5–9	-0.22	17%	29 Aug →
inferno	8–13	-0.01	14%	29 Aug →
cache	13–11	0.01	13%	22 Aug →
dust2	3–13	0.01	24%	22 Aug →
ancient	16–12	0.01	19%	22 Aug →
ancient	8–13	-0.03	22%	22 Aug →
mirage	6–13	-0.04	27%	22 Aug →
inferno	9–6	0.07	62%	22 Aug →
inferno	2–9	-0.13	38%	22 Aug →
cache	8–13	0.02	25%	22 Aug →
mirage	6–13	-0.11	13%	17 Aug →
nuke	13–10	0.05	22%	13 Aug →
inferno	5–9	-0.01	56%	11 Aug →
mirage	13–5	0.04	16%	11 Aug →
mirage	13–0	0.33	44%	11 Aug →
dust2	13–10	0.01	28%	9 Aug →
ancient	13–9	0.03	33%	1 Aug →
nuke	2–13	-0.12	10%	1 Aug →
mirage	13–11	-0.01	24%	30 Jul →
nuke	6–13	0.03	20%	30 Jul →
dust2	13–6	0.07	21%	30 Jul →
nuke	7–13	-0.04	32%	30 Jul →
dust2	4–13	-0.02	28%	30 Jul →
mirage	10–13	0.00	17%	29 Jul →
inferno	13–8	0.02	24%	29 Jul →
mirage	7–13	0.12	20%	27 Jul →
mirage	3–13	-0.04	36%	27 Jul →
cache	6–13	0.08	24%	27 Jul →
dust2	13–8	0.17	21%	27 Jul →
dust2	0–7	-0.05	33%	26 Jul →
mirage	9–13	0.08	32%	26 Jul →
mirage	13–11	0.18	29%	26 Jul →
dust2	13–1	0.19	38%	26 Jul →
vertigo	9–13	0.02	14%	25 Jul →
nuke	13–6	0.07	44%	25 Jul →
mirage	13–3	0.01	32%	25 Jul →
mirage	12–12	0.12	18%	25 Jul →
ancient	13–4	0.16	62%	25 Jul →
dust2	0–13	-0.02	22%	25 Jul →
nuke	13–0	0.00	0%	25 Jul →
ancient	7–13	0.04	26%	25 Jul →
cache	13–7	0.20	32%	24 Jul →
inferno	1–9	-0.19	14%	24 Jul →
inferno	9–5	0.07	38%	24 Jul →
inferno	10–13	-0.00	20%	21 Jul →
cache	13–10	0.06	16%	21 Jul →
anubis	13–11	0.02	9%	21 Jul →
inferno	13–8	0.06	22%	21 Jul →
nuke	7–13	-0.08	11%	21 Jul →
mirage	10–13	0.05	22%	21 Jul →
dust2	6–13	0.02	39%	21 Jul →
nuke	7–13	-0.03	27%	21 Jul →
mirage	13–16	-0.02	18%	21 Jul →
ancient	16–13	0.07	11%	19 Jul →
cache	6–13	0.01	26%	17 Jul →
mirage	2–13	-0.11	13%	17 Jul →
nuke	6–13	0.00	23%	17 Jul →
mirage	13–10	0.03	23%	16 Jul →
mirage	13–5	-0.06	12%	15 Jul →
nuke	7–12	-0.05	25%	13 Jul →
ancient	13–3	-0.01	13%	12 Jul →
cache	13–6	0.02	15%	12 Jul →
cache	10–13	-0.01	26%	12 Jul →
inferno	13–9	0.01	29%	12 Jul →
mirage	10–13	0.01	18%	11 Jul →
cache	16–13	-0.02	17%	11 Jul →
mirage	10–13	-0.04	31%	11 Jul →
inferno	9–13	-0.06	21%	11 Jul →
mirage	13–1	0.09	29%	11 Jul →
mirage	5–13	-0.03	32%	11 Jul →
mirage	13–6	0.05	30%	11 Jul →
mirage	3–13	-0.03	11%	10 Jul →
mirage	16–12	0.04	13%	10 Jul →
inferno	13–7	-0.04	19%	9 Jul →
cache	11–13	-0.01	42%	9 Jul →
anubis	13–2	0.12	21%	9 Jul →
cache	13–7	0.04	16%	9 Jul →
nuke	5–13	-0.03	25%	8 Jul →
mirage	1–13	0.02	29%	8 Jul →
mirage	5–13	-0.07	25%	8 Jul →
dust2	13–8	0.12	35%	8 Jul →
inferno	8–8	-0.07	33%	7 Jul →
alpine	11–8	0.10	31%	6 Jul →
anubis	13–9	-0.02	20%	6 Jul →
nuke	13–3	0.03	38%	6 Jul →
mirage	3–13	-0.05	8%	5 Jul →
cache	11–13	0.01	52%	5 Jul →
mirage	13–11	0.07	27%	5 Jul →