Ag3🤮🤪😇🤨🤑😬🥺 — CS2 Stats

ES76561198378226439[U:1:417960711]Steam profile ↗✓ No bans

4,128Tracked matches47%Win rate2020Tracked since

CSDB Rating6.4 SolidSupport

Premier CS Rating26,111Top 10% of 175,286 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)

CSDB Leaderboard#11143 of 221522 tracked

FaceitLevel 10 · 3,033 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2026 (5 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.

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. 42 days played since 26 Apr 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: 26,111 -739 26 Apr – 12 Sept · 21 days played

Faceit ELO: 3,033 +0 27 Aug – 4 Sept · 5 observations

28,400Peak Premier in tracked matches

3,033Highest Faceit ELO seen on CSDB

42Days played since 2026-04-26

Faceit ELO

At peak — 3,033
Next: 3,500 ELO at 3,500 — 467 to go
Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
3,000 ELO first seen 2026-08-28
2,500 ELO first seen 2026-08-28

Premier CS Rating

1,958 below peak (28,069)
+326 over 30 days · steady
-1,120 over 90 days
Next: Gold band at 30,000 — 3,889 to go
Reached: Red band · Pink band · Purple band · Blue band
Red band first seen 2026-08-28
Pink 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.

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Performance scores

Aim76

Positioning57

Utility82

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateWWWWLLWLLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −3.9pp headshot accuracy · +27ms 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

4–1 · 80% win rate
Avg rating 0.01
Avg headshot accuracy 20%
Avg reaction 497ms

Last 10

5–5 · 50% win rate
Avg rating 0.00
Avg headshot accuracy 23%
Avg reaction 521ms

Last 20

11–9 · 55% win rate
Avg rating 0.01
Avg headshot accuracy 25%
Avg reaction 508ms

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 (+3.2 against its own average).

Aim7.6

Utility8.2

Positioning5.7

Opening Duels2.4

Clutch3.8

Effective flashesHigh utility contribution

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 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

Utility. Utility score of 82 — grenade impact well above the norm.

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

Aim7.6

Positioning5.7

Utility8.2

Mechanics5.7

Opening Duels2.3

Win Impact3.9

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time514ms+39ms

first ⅓ avg 475ms → last ⅓ avg 514ms

Headshot accuracy29.4%−1.0%

first ⅓ avg 30.3% → last ⅓ avg 29.4%

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

0.35Best match rating · 9–1 · inferno, 2 Jun →

73%Best headshot accuracy · 1–13 · dust2, 21 Jul →

313msFastest reaction time · 1–9 · vertigo, 26 Apr →

13–1Biggest win · nuke, 16 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak

W4Current streak

6–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 67% over 15cacheWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	26	15–11	58%	0.04
ancient	A	21	13–8	62%	0.02
cache	C	15	6–9	40%	0.04
dust2	S	15	10–5	67%	0.03
nuke	B	12	6–6	50%	0.02
vertigo	—	3	1–2	33%	-0.04
train	—	2	1–1	50%	0.04
overpass	—	2	1–1	50%	0.05
boulder	—	1	0–1	0%	0.15
anubis	—	1	1–0	100%	0.03
office	—	1	0–1	0%	-0.01
mirage	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

6,160Matches

53%Win rate

1.18Avg K/D

77.5ADR

57%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

16Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	672	58%	1.19	16.0
Dust2	344	51%	1.13	14.7
Nuke	342	57%	1.21	15.8
Anubis	334	54%	1.14	15.0
Inferno	245	55%	1.22	15.9
Overpass	91	56%	1.29	15.9
Train	41	54%	1.08	15.9
Mirage	36	53%	1.12	14.7

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.

26.6%Headshot accuracy

34.5%Accuracy (enemy spotted)

32.8%Spray accuracy

75.6%Counter-strafing

11.5°Preaim

507msReaction time

36.1%T opening success

42.2%CT opening success

0.74Enemies flashed / flash

13.2%Flash assists

10.11HE damage / grenade

17.49Flashes / 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
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 36.1343% — below the 40% mark we flag

Spend your practice time on Cache

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–5	0.01	17%	13 Sept →
ancient	13–7	0.08	18%	12 Sept →
cache	13–7	0.01	19%	12 Sept →
cache	13–9	0.00	16%	12 Sept →
ancient	3–13	-0.04	29%	12 Sept →
dust2	7–13	0.01	32%	4 Sept →
ancient	13–4	-0.02	26%	4 Sept →
cache	10–13	-0.01	20%	29 Aug →
ancient	8–13	-0.02	36%	28 Aug →
ancient	3–13	-0.00	19%	26 Aug →
ancient	13–7	-0.03	15%	25 Aug →
ancient	13–5	0.01	28%	25 Aug →
ancient	2–13	0.05	30%	25 Aug →
inferno	13–11	0.08	28%	24 Aug →
nuke	13–4	0.03	32%	23 Aug →
cache	9–13	0.02	29%	21 Aug →
cache	13–5	0.02	21%	21 Aug →
nuke	13–1	0.02	42%	16 Aug →
cache	13–16	-0.02	22%	16 Aug →
cache	10–13	-0.03	24%	14 Aug →
dust2	8–13	0.05	24%	14 Aug →
inferno	11–13	-0.07	17%	13 Aug →
train	6–13	0.04	40%	13 Aug →
train	13–7	0.04	33%	13 Aug →
inferno	7–13	-0.02	37%	13 Aug →
inferno	13–11	0.05	18%	13 Aug →
nuke	13–16	0.01	30%	11 Aug →
inferno	4–9	-0.07	42%	10 Aug →
inferno	9–3	0.25	59%	10 Aug →
inferno	9–6	-0.01	42%	10 Aug →
cache	10–13	0.03	27%	10 Aug →
dust2	13–4	0.03	30%	10 Aug →
boulder	5–9	0.15	65%	6 Aug →
ancient	13–1	0.10	35%	28 Jul →
nuke	7–13	-0.00	22%	28 Jul →
inferno	16–13	0.03	33%	27 Jul →
nuke	5–9	0.03	27%	27 Jul →
inferno	9–13	0.14	18%	27 Jul →
dust2	13–10	0.02	20%	27 Jul →
nuke	13–5	0.01	11%	22 Jul →
nuke	16–12	-0.01	29%	22 Jul →
dust2	1–13	-0.04	73%	21 Jul →
dust2	9–13	-0.03	14%	21 Jul →
inferno	4–13	-0.07	17%	21 Jul →
cache	13–3	0.15	17%	21 Jul →
dust2	13–2	0.08	32%	21 Jul →
dust2	13–7	-0.03	26%	21 Jul →
dust2	2–3	0.15	63%	21 Jul →
ancient	13–10	0.00	24%	21 Jul →
inferno	2–9	-0.14	27%	16 Jul →
ancient	13–5	0.02	24%	9 Jul →
inferno	2–13	0.01	56%	9 Jul →
dust2	13–6	0.14	33%	9 Jul →
nuke	13–4	0.07	18%	9 Jul →
nuke	13–10	0.01	29%	9 Jul →
cache	13–6	0.17	38%	9 Jul →
inferno	11–13	0.00	27%	9 Jul →
ancient	13–5	0.12	27%	9 Jul →
dust2	13–8	0.03	30%	8 Jul →
cache	2–10	-0.06	22%	6 Jul →
cache	8–13	0.01	28%	6 Jul →
dust2	25–23	0.06	31%	6 Jul →
ancient	1–13	-0.08	37%	5 Jul →
inferno	13–5	0.01	27%	5 Jul →
ancient	13–9	0.13	35%	5 Jul →
inferno	13–5	0.05	33%	5 Jul →
ancient	13–8	-0.01	24%	5 Jul →
inferno	11–13	-0.04	18%	3 Jul →
ancient	7–13	-0.03	36%	3 Jul →
nuke	9–13	0.04	36%	2 Jul →
cache	12–12	0.12	29%	2 Jul →
anubis	13–9	0.03	50%	1 Jul →
inferno	13–6	-0.00	14%	1 Jul →
nuke	20–22	0.05	31%	23 Jun →
dust2	13–8	0.05	26%	22 Jun →
ancient	13–1	0.08	21%	22 Jun →
inferno	6–9	-0.01	29%	21 Jun →
overpass	8–8	0.01	14%	21 Jun →
vertigo	9–7	0.03	33%	21 Jun →
vertigo	8–8	-0.03	28%	20 Jun →
inferno	9–7	-0.07	50%	20 Jun →
ancient	13–9	0.03	22%	9 Jun →
inferno	13–3	0.08	31%	9 Jun →
nuke	9–13	-0.01	30%	3 Jun →
office	10–13	-0.01	25%	2 Jun →
dust2	16–14	-0.04	39%	2 Jun →
cache	13–9	0.15	27%	2 Jun →
inferno	9–1	0.35	67%	2 Jun →
inferno	9–2	0.19	30%	1 Jun →
ancient	13–4	0.01	40%	23 May →
dust2	13–8	0.00	27%	9 May →
overpass	9–5	0.10	11%	9 May →
inferno	9–3	0.24	42%	9 May →
inferno	6–9	-0.03	31%	8 May →
cache	11–13	-0.02	16%	29 Apr →
ancient	11–13	0.10	39%	27 Apr →
inferno	13–4	0.04	40%	27 Apr →
mirage	4–13	-0.01	28%	26 Apr →
ancient	13–16	-0.05	24%	26 Apr →
vertigo	1–9	-0.12	18%	26 Apr →