𝕏𝟟 — CS2 Stats

76561198353762915[U:1:393497187]Steam profile ↗✓ No bans

3,449Tracked matches38%Win rate2021Tracked since

CSDB Rating6.0 SolidSupport

Premier CS Rating17,759Purple band · top ~17.4% of ranked players (population est.)

CSDB Leaderboard#111906 of 252584 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−150Premier CS Rating · 17,909 → 17,759

Rating over time

Premier CS Rating: 17,759 -293 29 Aug – 17 Oct · 29 days played

19,999Peak Premier in tracked matches

27Days played since 2026-08-29

Premier CS Rating

2,013 below peak (19,772)
-1,052 over 30 days · declining
Next: Pink band at 20,000 — 2,241 to go
Reached: 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.

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim73

Positioning56

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWLWLLWLLWW

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · +4.4pp headshot accuracy · +1ms 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

2–3 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 15%
Avg reaction 572ms

Last 10

5–5 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 21%
Avg reaction 602ms

Last 20

9–11 · 45% win rate
Avg rating 0.00
Avg headshot accuracy 19%
Avg reaction 602ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim7.3

Utility6.4

Positioning5.6

Opening Duels4.4

Clutch0.0

Strong CT-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 NiKo 85% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 613ms 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

Aim7.3

Positioning5.6

Utility6.4

Mechanics7.4

Opening Duels5.4

Win Impact1.0

Composite 6.0/10 (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 rating0.00−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time615ms+1ms

first ⅓ avg 613ms → last ⅓ avg 615ms

Headshot accuracy17.9%−0.0%

first ⅓ avg 18.0% → 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.

Personal bests

0.22Best match rating · 13–5 · cache, 24 Sept →

47%Best headshot accuracy · 10–2 · cache, 16 Oct →

461msFastest reaction time · 10–13 · inferno, 4 Oct →

13–0Biggest win · inferno, 16 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak

9–2In matches decided by ≤2 rounds

13Overtime games

Map breakdown

dust2Best map · 65% over 17nukeWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	21	10–11	48%	0.01
dust2	S	17	11–6	65%	0.03
inferno	S	17	11–6	65%	0.03
mirage	C	17	6–11	35%	0.02
anubis	D	12	4–8	33%	0.03
ancient	D	11	3–8	27%	-0.02
nuke	D	5	1–4	20%	0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

38Matches

45%Win rate

0.92Avg K/D

76.1ADR

38%Headshot %

Clutches & streaks

0%1v1 clutch win

40%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	75%	0.73	12.3
Vertigo	3	33%	0.63	12.7
Dust2	2	100%	1.41	18.5
Nuke	2	50%	0.94	12.0
Anubis	1	100%	1.68	32.0
Inferno	1	100%	2.83	17.0
Overpass	1	100%	1.58	19.0

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.

16.8%Headshot accuracy

39.0%Accuracy (enemy spotted)

44.5%Spray accuracy

83.4%Counter-strafing

12.2°Preaim

613msReaction time

42.6%T opening success

60.6%CT opening success

0.54Enemies flashed / flash

11.4%Flash assists

10.62HE damage / grenade

15.02Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.1722° — above the 12° mark we flag
Aim Training →

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.

20% win rate across 5 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
cache	13–8	0.01	10%	17 Oct →
ancient	2–13	-0.02	8%	17 Oct →
ancient	13–7	-0.06	30%	17 Oct →
ancient	7–13	-0.02	9%	17 Oct →
ancient	5–13	-0.06	19%	16 Oct →
cache	13–8	0.04	28%	16 Oct →
anubis	7–13	-0.01	21%	16 Oct →
dust2	2–13	-0.08	21%	16 Oct →
cache	10–2	0.06	47%	16 Oct →
cache	13–11	0.01	18%	14 Oct →
dust2	6–13	0.01	18%	14 Oct →
dust2	13–10	0.03	17%	14 Oct →
cache	9–13	0.02	19%	13 Oct →
anubis	7–13	0.09	15%	13 Oct →
cache	13–8	-0.02	6%	13 Oct →
nuke	16–14	-0.05	14%	12 Oct →
dust2	13–4	0.07	21%	12 Oct →
inferno	10–13	0.05	17%	12 Oct →
mirage	10–13	-0.02	9%	12 Oct →
cache	2–13	-0.00	32%	12 Oct →
inferno	13–11	-0.01	17%	11 Oct →
ancient	2–13	0.01	12%	11 Oct →
anubis	9–13	0.02	11%	11 Oct →
mirage	13–16	0.04	10%	10 Oct →
mirage	11–13	0.04	9%	10 Oct →
ancient	2–13	-0.04	5%	10 Oct →
cache	4–13	-0.04	21%	10 Oct →
mirage	15–15	0.01	16%	10 Oct →
mirage	13–11	0.00	21%	9 Oct →
anubis	7–13	-0.01	25%	9 Oct →
ancient	6–13	-0.03	19%	9 Oct →
inferno	2–13	-0.00	32%	9 Oct →
anubis	13–2	0.09	16%	9 Oct →
anubis	13–4	0.05	20%	6 Oct →
cache	15–15	0.03	17%	6 Oct →
mirage	13–9	0.02	14%	6 Oct →
dust2	13–9	0.03	23%	6 Oct →
anubis	13–16	0.06	23%	5 Oct →
inferno	13–7	0.08	17%	5 Oct →
ancient	2–13	-0.04	23%	5 Oct →
ancient	13–8	-0.00	19%	5 Oct →
ancient	6–13	0.01	10%	5 Oct →
mirage	6–13	-0.03	13%	4 Oct →
anubis	1–13	-0.00	11%	4 Oct →
cache	13–11	-0.01	14%	4 Oct →
inferno	10–13	-0.02	13%	4 Oct →
dust2	15–15	0.12	30%	3 Oct →
cache	13–16	0.01	20%	3 Oct →
inferno	13–5	0.08	22%	3 Oct →
inferno	13–10	0.05	29%	3 Oct →
mirage	10–13	-0.01	23%	3 Oct →
dust2	13–10	0.03	27%	2 Oct →
mirage	13–10	0.09	15%	2 Oct →
nuke	10–13	0.03	12%	2 Oct →
nuke	2–13	-0.00	28%	1 Oct →
cache	9–13	0.03	15%	29 Sept →
cache	13–8	0.09	20%	29 Sept →
mirage	13–5	0.12	20%	29 Sept →
dust2	9–13	0.03	18%	29 Sept →
anubis	8–13	-0.02	12%	28 Sept →
inferno	13–10	0.03	23%	28 Sept →
cache	13–8	0.07	21%	28 Sept →
cache	0–13	-0.16	17%	28 Sept →
dust2	4–13	0.03	19%	28 Sept →
cache	15–15	-0.02	17%	27 Sept →
inferno	13–1	0.09	21%	27 Sept →
inferno	5–13	0.02	9%	25 Sept →
dust2	13–11	0.07	12%	25 Sept →
mirage	13–16	-0.00	40%	24 Sept →
mirage	9–13	0.00	23%	24 Sept →
inferno	13–8	-0.09	31%	24 Sept →
cache	4–13	-0.02	12%	24 Sept →
cache	13–5	0.22	31%	24 Sept →
nuke	2–13	-0.03	22%	24 Sept →
ancient	13–7	0.03	21%	24 Sept →
dust2	13–10	0.04	23%	19 Sept →
dust2	16–14	0.00	21%	19 Sept →
cache	4–13	-0.04	21%	19 Sept →
nuke	6–13	0.05	18%	19 Sept →
anubis	13–5	0.00	21%	19 Sept →
dust2	13–11	0.02	25%	19 Sept →
mirage	15–15	0.01	15%	18 Sept →
dust2	13–10	0.00	21%	18 Sept →
inferno	11–13	0.03	10%	18 Sept →
mirage	12–16	-0.04	13%	17 Sept →
mirage	13–11	-0.02	10%	16 Sept →
cache	15–15	0.00	13%	16 Sept →
inferno	13–9	0.02	11%	16 Sept →
cache	13–7	-0.03	19%	16 Sept →
inferno	13–0	0.07	10%	16 Sept →
anubis	10–13	0.00	11%	15 Sept →
inferno	7–13	-0.01	9%	15 Sept →
dust2	13–6	-0.04	15%	15 Sept →
anubis	13–4	0.06	22%	15 Sept →
dust2	13–6	0.07	16%	13 Sept →
mirage	10–13	0.01	11%	13 Sept →
inferno	13–7	0.04	23%	12 Sept →
mirage	13–8	0.02	17%	12 Sept →
dust2	7–13	0.03	13%	11 Sept →
inferno	13–10	0.01	15%	11 Sept →