Portgas D. Ace — CS2 Stats

DE76561198000752150[U:1:40486422]Steam profile ↗✓ No bans

1,185Tracked matches50%Win rate2020Tracked since

CSDB Rating4.7 DevelopingSupport

Premier CS Rating22,242Top 50% of 211,827 CSDB-tracked playersPink band · top ~6% of ranked players (population est.)

CSDB Leaderboard#53089 of 258899 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,185 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,242 +12,243 2 Jun – 13 Sept · 27 days played

23,696Peak Premier in tracked matches

30Days played since 2026-06-02

Premier CS Rating

860 below peak (23,102)
-630 over 30 days · declining
+13,194 over 90 days
Next: Red band at 25,000 — 2,758 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Pink band first seen 2026-08-30
Purple band first seen 2026-08-30

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

Aim63

Positioning36

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLLLWWWLLLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +6.9pp headshot accuracy · −73ms 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

2–3 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 16%
Avg reaction 445ms

Last 10

4–6 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 490ms

Last 20

6–13–1 · 30% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 527ms

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 (+2.8 against its own average).

Aim6.3

Utility5.8

Positioning3.6

Opening Duels0.2

Clutch2.6

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 iM 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower 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

Areas to improve

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.3

Positioning3.6

Utility5.8

Mechanics3.9

Opening Duels0.8

Win Impact5.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time542ms−172ms

first ⅓ avg 714ms → last ⅓ avg 542ms

Headshot accuracy12.3%+1.3%

first ⅓ avg 11.0% → last ⅓ avg 12.3%

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

0.19Best match rating · 9–2 · inferno, 6 Aug →

30%Best headshot accuracy · 4–13 · dust2, 8 Aug →

328msFastest reaction time · 4–13 · dust2, 6 Aug →

13–0Biggest win · cache, 28 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak

L3Current streak

7–5In matches decided by ≤2 rounds

10Overtime games

Map breakdown

infernoBest map · 58% over 26mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	27	12–15	44%	-0.02
inferno	A	26	15–11	58%	0.00
anubis	B	14	7–7	50%	-0.04
cache	C	9	4–5	44%	-0.02
ancient	C	5	2–3	40%	-0.03
mirage	D	5	1–4	20%	-0.02
nuke	—	4	2–2	50%	-0.05
office	—	4	0–4	0%	-0.06
overpass	—	3	3–0	100%	-0.00
shelter	—	1	0–1	0%	-0.11
vertigo	—	1	0–1	0%	-0.05
alpine	—	1	1–0	100%	-0.07

Across the last 100 tracked matches.

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

Faceit stats

Combat

36Matches

42%Win rate

0.62Avg K/D

90.8ADR

33%Headshot %

Clutches & streaks

33%1v1 clutch win

29%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	3	33%	1.06	12.3
Ancient	2	50%	0.62	10.5
Inferno	1	0%	0.88	15.0
Vertigo	1	0%	1.29	22.0
Nuke	1	0%	0.46	6.0

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.

11.7%Headshot accuracy

34.3%Accuracy (enemy spotted)

36.8%Spray accuracy

67.6%Counter-strafing

7.8°Preaim

530msReaction time

22.7%T opening success

36.6%CT opening success

0.67Enemies flashed / flash

3.0%Flash assists

12.75HE damage / grenade

5.74Flashes / 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 11.6524% — below the 15% mark we flag
Aim Training →
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 22.7037% — 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.

20% win rate across 5 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
dust2	9–13	-0.02	15%	18 Aug →
cache	7–13	-0.06	14%	18 Aug →
inferno	6–13	-0.01	15%	17 Aug →
dust2	16–13	-0.03	16%	17 Aug →
inferno	13–6	-0.03	18%	9 Aug →
nuke	13–7	-0.04	20%	9 Aug →
inferno	9–13	-0.06	11%	9 Aug →
inferno	11–13	-0.03	14%	8 Aug →
dust2	4–13	-0.06	30%	8 Aug →
inferno	9–2	0.19	24%	6 Aug →
inferno	3–9	-0.06	7%	6 Aug →
dust2	4–13	-0.07	7%	6 Aug →
anubis	9–13	-0.03	11%	6 Aug →
inferno	8–8	0.07	20%	6 Aug →
nuke	16–12	-0.04	14%	6 Aug →
cache	11–13	-0.02	7%	5 Aug →
dust2	13–11	0.00	11%	5 Aug →
anubis	8–13	-0.03	6%	5 Aug →
inferno	8–13	-0.00	13%	5 Aug →
dust2	11–13	-0.04	9%	5 Aug →
cache	16–14	-0.02	8%	5 Aug →
dust2	7–13	-0.02	13%	5 Aug →
inferno	13–7	0.01	6%	5 Aug →
dust2	9–13	-0.03	5%	4 Aug →
anubis	13–8	-0.05	11%	4 Aug →
inferno	13–9	-0.05	13%	4 Aug →
dust2	16–13	-0.02	12%	4 Aug →
dust2	10–13	-0.05	19%	3 Aug →
cache	13–6	-0.05	11%	2 Aug →
dust2	13–9	-0.01	4%	31 Jul →
dust2	13–5	0.15	12%	31 Jul →
dust2	13–6	-0.01	7%	31 Jul →
inferno	13–11	-0.01	4%	30 Jul →
dust2	13–11	-0.04	17%	30 Jul →
cache	6–13	-0.02	13%	30 Jul →
dust2	10–13	0.04	19%	30 Jul →
dust2	9–13	-0.04	0%	29 Jul →
dust2	13–8	-0.03	20%	29 Jul →
inferno	13–3	0.04	15%	29 Jul →
anubis	13–11	0.01	23%	28 Jul →
anubis	13–7	-0.05	15%	28 Jul →
cache	13–0	0.09	5%	28 Jul →
anubis	13–4	-0.06	5%	28 Jul →
dust2	13–7	-0.04	17%	28 Jul →
inferno	13–3	0.02	10%	28 Jul →
inferno	9–5	0.07	9%	28 Jul →
inferno	7–9	-0.00	18%	28 Jul →
dust2	16–12	-0.00	7%	26 Jul →
inferno	13–9	0.03	9%	26 Jul →
anubis	13–0	-0.04	5%	26 Jul →
anubis	13–6	-0.00	15%	26 Jul →
office	12–12	-0.08	7%	9 Jul →
office	9–13	-0.06	15%	9 Jul →
office	4–13	-0.05	5%	9 Jul →
shelter	6–13	-0.11	6%	9 Jul →
anubis	13–6	-0.04	11%	7 Jul →
cache	12–12	-0.07	9%	7 Jul →
dust2	8–13	-0.02	9%	7 Jul →
ancient	13–5	0.03	4%	25 Jun →
inferno	13–6	-0.03	9%	25 Jun →
dust2	4–13	-0.11	6%	25 Jun →
ancient	11–13	-0.05	18%	25 Jun →
nuke	4–13	-0.08	14%	25 Jun →
anubis	12–16	-0.06	7%	25 Jun →
mirage	10–13	0.04	14%	25 Jun →
vertigo	8–13	-0.05	6%	24 Jun →
mirage	2–13	-0.05	17%	24 Jun →
ancient	5–13	-0.02	17%	22 Jun →
inferno	13–4	0.01	22%	22 Jun →
anubis	8–13	-0.04	24%	22 Jun →
overpass	13–9	-0.05	0%	21 Jun →
inferno	13–5	0.09	17%	21 Jun →
nuke	7–13	-0.06	10%	21 Jun →
dust2	12–16	0.01	12%	20 Jun →
anubis	3–13	-0.05	6%	19 Jun →
dust2	16–12	-0.00	17%	19 Jun →
cache	13–4	0.04	9%	18 Jun →
dust2	10–13	0.02	6%	18 Jun →
overpass	16–13	0.04	11%	18 Jun →
dust2	10–13	-0.00	4%	13 Jun →
mirage	1–13	-0.08	17%	13 Jun →
inferno	13–11	0.03	16%	12 Jun →
inferno	13–4	0.02	11%	12 Jun →
dust2	9–13	-0.04	12%	11 Jun →
inferno	9–13	-0.04	5%	11 Jun →
dust2	13–6	-0.05	12%	11 Jun →
office	7–13	-0.06	9%	10 Jun →
alpine	13–8	-0.07	9%	10 Jun →
cache	1–13	-0.09	8%	10 Jun →
ancient	8–13	-0.05	12%	4 Jun →
inferno	13–7	0.04	10%	4 Jun →
anubis	3–13	-0.06	19%	4 Jun →
anubis	4–13	-0.07	0%	3 Jun →
inferno	2–13	-0.08	19%	3 Jun →
overpass	13–9	0.00	2%	3 Jun →
mirage	8–13	0.01	8%	3 Jun →
inferno	3–13	-0.02	11%	3 Jun →
ancient	16–14	-0.05	7%	3 Jun →
mirage	13–7	-0.02	6%	2 Jun →
inferno	8–13	-0.08	15%	2 Jun →