♤ACE™ — CS2 Stats

76561198419083657[U:1:458817929]Steam profile ↗✓ No bans

392Tracked matches31%Win rate2026Tracked since

1,401Hours in CS83Hrs last 2 wks

CSDB Rating4.3 DevelopingSupport

Premier CS Rating13,628Blue band · top ~35.7% of ranked players (population est.)

CSDB Leaderboard#138299 of 221698 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

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

−296Premier CS Rating · 13,924 → 13,628

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. 41 days played since 15 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 13,628 +1,500 15 Jul – 17 Sept · 26 days played

17,009Peak Premier in tracked matches

41Days played since 2026-07-15

Premier CS Rating

3,104 below peak (16,732)
-1,372 over 30 days · declining
Next: Purple band at 15,000 — 1,372 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

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.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=8,548), 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	Level 3 median	Level 4 median	vs Level 4
Headshot rate	32.6%	41.9%	42.7%	10.2% short
Shot accuracy	1.4%	12.2%	11.2%	9.8% short
Kill/death ratio	0.95	0.98	0.99	0.04 short
Match win rate	45.4%	43.3%	43.9%	above

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim60

Positioning48

Utility51

0–100 skill scores via Leetify.

Recent form

COLD41–54–5Last 10041%Win rateLWLTLLWLLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +2.8pp headshot accuracy · −79ms 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

1–3–1 · 20% win rate
Avg rating 0.00
Avg headshot accuracy 15%
Avg reaction 481ms

Last 10

3–6–1 · 30% win rate
Avg rating -0.01
Avg headshot accuracy 13%
Avg reaction 494ms

Last 20

5–13–2 · 25% win rate
Avg rating -0.01
Avg headshot accuracy 11%
Avg reaction 533ms

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 (+1.6 against its own average).

Aim6.0

Utility5.1

Positioning4.8

Opening Duels1.0

Clutch3.0

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 Twistzz 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.0

Positioning4.8

Utility5.1

Mechanics6.2

Opening Duels1.1

Win Impact0.0

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time539ms−42ms

first ⅓ avg 581ms → last ⅓ avg 539ms

Headshot accuracy10.4%−0.5%

first ⅓ avg 10.9% → last ⅓ avg 10.4%

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

0.14Best match rating · 2–1 · ancient, 10 Sept →

29%Best headshot accuracy · 2–1 · ancient, 10 Sept →

328msFastest reaction time · 2–1 · ancient, 10 Sept →

13–0Biggest win · cache, 31 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak

10–11In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 55% over 11dust2Weakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	25	11–14	44%	0.00
nuke	B	17	8–9	47%	0.00
ancient	B	15	8–7	53%	0.00
mirage	A	11	6–5	55%	-0.01
anubis	B	8	4–4	50%	-0.02
dust2	D	8	1–7	13%	-0.03
vertigo	D	7	2–5	29%	0.04
inferno	D	5	1–4	20%	-0.04
boulder	—	2	0–2	0%	-0.02
shelter	—	2	0–2	0%	0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,355Lifetime kills

0.95K/D

749Matches

45.4%Match win rate · Top 50% of Level 3 players

32.6%Headshot %

1.4%Shot accuracy

1,779MVPs

299Hours (in match)

642Bombs planted

243Bombs defused

Most-used weapons

AK-473,824

M4A4 / M4A1-S2,156

AWP1,787

UMP-45863

P2000 / USP-S643

Glock-18516

Desert Eagle339

Galil AR208

Knife183

XM1014104

Lifetime map wins

943nuke

580inferno

456dust2

287vertigo

81train

79office

10dust

3cbble

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

Faceit stats

Combat

192Matches

45%Win rate

0.92Avg K/D

71.3ADR

31%Headshot %

Clutches & streaks

35%1v1 clutch win

25%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Cache	54	54%	1.01	14.9
Mirage	41	46%	0.90	12.4
Nuke	34	50%	1.03	13.9
Ancient	21	57%	0.89	13.7
Anubis	11	27%	0.73	10.9
Inferno	10	10%	0.76	11.9
Dust2	9	22%	0.73	10.7
Overpass	6	33%	0.79	13.2

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.

9.5%Headshot accuracy

35.0%Accuracy (enemy spotted)

41.8%Spray accuracy

77.8%Counter-strafing

11.8°Preaim

532msReaction time

25.1%T opening success

39.1%CT opening success

0.44Enemies flashed / flash

4.9%Flash assists

5.96HE damage / grenade

11.07Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 9.5141% — below the 15% mark we flag
Aim Training →
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 0.4409 — 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 25.0538% — 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.

13% win rate across 8 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	10–13	-0.07	20%	17 Sept →
nuke	13–8	0.02	15%	16 Sept →
nuke	9–13	-0.05	3%	14 Sept →
mirage	15–15	-0.03	8%	14 Sept →
ancient	2–1	0.14	29%	10 Sept →
mirage	8–13	-0.02	11%	9 Sept →
ancient	13–10	-0.01	10%	9 Sept →
anubis	1–13	-0.07	6%	7 Sept →
cache	8–13	-0.02	13%	7 Sept →
mirage	13–1	0.00	13%	7 Sept →
nuke	13–7	0.03	12%	7 Sept →
dust2	6–13	-0.05	24%	7 Sept →
inferno	8–12	-0.07	15%	6 Sept →
cache	11–13	-0.08	4%	5 Sept →
cache	7–11	-0.01	6%	5 Sept →
cache	6–13	0.04	14%	4 Sept →
cache	11–13	-0.01	11%	2 Sept →
ancient	8–13	-0.05	8%	1 Sept →
ancient	12–12	0.05	5%	31 Aug →
cache	13–0	0.12	0%	31 Aug →
ancient	12–12	0.07	3%	31 Aug →
nuke	11–13	-0.03	6%	28 Aug →
nuke	7–13	-0.07	8%	27 Aug →
ancient	13–11	-0.02	10%	27 Aug →
mirage	13–11	-0.03	8%	26 Aug →
mirage	11–13	-0.02	5%	25 Aug →
ancient	12–16	-0.06	7%	25 Aug →
cache	2–13	-0.05	24%	25 Aug →
ancient	13–5	0.03	10%	23 Aug →
vertigo	12–12	0.03	4%	23 Aug →
cache	11–13	0.00	15%	22 Aug →
cache	3–13	-0.02	5%	22 Aug →
cache	12–16	-0.05	14%	21 Aug →
vertigo	7–13	-0.03	0%	16 Aug →
nuke	4–13	0.04	13%	15 Aug →
ancient	16–14	0.01	14%	14 Aug →
nuke	11–13	-0.09	10%	14 Aug →
dust2	9–13	-0.05	5%	13 Aug →
dust2	6–13	-0.02	10%	10 Aug →
nuke	7–13	0.01	13%	10 Aug →
nuke	13–6	0.01	7%	10 Aug →
boulder	6–13	-0.01	9%	9 Aug →
cache	13–7	0.08	4%	9 Aug →
nuke	5–13	-0.06	8%	8 Aug →
vertigo	10–13	0.09	7%	8 Aug →
vertigo	13–3	0.02	3%	7 Aug →
vertigo	11–13	0.06	6%	6 Aug →
cache	12–16	-0.01	3%	2 Aug →
mirage	13–9	-0.01	6%	2 Aug →
vertigo	13–0	0.10	15%	2 Aug →
nuke	13–11	-0.04	2%	2 Aug →
anubis	5–13	0.04	7%	2 Aug →
inferno	6–13	-0.04	14%	2 Aug →
cache	13–11	0.05	15%	1 Aug →
vertigo	9–13	-0.01	6%	1 Aug →
boulder	10–13	-0.02	8%	27 Jul →
shelter	10–13	0.02	11%	27 Jul →
shelter	9–13	0.06	6%	25 Jul →
mirage	10–13	-0.03	10%	24 Jul →
cache	13–7	0.01	12%	24 Jul →
anubis	13–10	-0.03	14%	24 Jul →
anubis	13–7	-0.00	7%	24 Jul →
nuke	7–13	0.01	18%	24 Jul →
mirage	8–13	0.04	8%	23 Jul →
nuke	10–13	0.09	7%	23 Jul →
mirage	13–7	0.03	13%	23 Jul →
cache	13–4	-0.01	2%	23 Jul →
anubis	13–10	-0.03	5%	23 Jul →
ancient	13–11	-0.03	10%	23 Jul →
inferno	3–13	-0.05	3%	22 Jul →
mirage	13–11	-0.01	9%	22 Jul →
ancient	3–13	-0.09	0%	22 Jul →
cache	4–13	0.04	13%	21 Jul →
mirage	13–4	0.01	20%	19 Jul →
dust2	15–15	-0.01	11%	19 Jul →
cache	11–13	0.02	5%	19 Jul →
ancient	11–13	0.00	24%	19 Jul →
cache	13–11	0.01	13%	18 Jul →
dust2	5–13	-0.09	11%	18 Jul →
nuke	13–7	0.04	13%	18 Jul →
nuke	13–10	-0.01	0%	18 Jul →
dust2	2–13	-0.08	9%	18 Jul →
cache	13–10	-0.04	12%	18 Jul →
ancient	13–7	0.04	8%	18 Jul →
inferno	4–13	-0.05	10%	18 Jul →
cache	8–13	-0.09	10%	18 Jul →
anubis	13–11	-0.01	10%	18 Jul →
dust2	11–13	0.01	9%	18 Jul →
ancient	13–4	0.02	24%	18 Jul →
cache	13–6	0.05	8%	17 Jul →
nuke	13–2	0.03	14%	17 Jul →
cache	13–8	0.03	13%	17 Jul →
inferno	13–6	0.01	6%	16 Jul →
dust2	13–4	0.04	13%	16 Jul →
cache	13–11	0.03	11%	16 Jul →
cache	13–9	0.01	15%	15 Jul →
anubis	9–13	-0.01	15%	15 Jul →
nuke	16–12	0.05	8%	15 Jul →
ancient	13–10	-0.02	6%	15 Jul →
anubis	1–7	-0.08	21%	15 Jul →