Yuna — CS2 Stats

76561197983247723[U:1:22981995]Steam profile ↗✓ No bans

1,565Tracked matches52%Win rate2020Tracked since

CSDB Rating6.5 SolidSupport

Premier CS Rating17,025Purple band · top ~20.3% of ranked players (population est.)

CSDB Leaderboard#124751 of 259692 tracked

FaceitLevel 7 · 1,226 ELOTop 42.3% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (32 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.

Rating over time

Premier CS Rating: 17,025 -1,625 9 Jun – 2 Oct · 11 days played

19,109Peak Premier in tracked matches

1,226Highest Faceit ELO seen on CSDB

53Days played since 2026-06-06

Faceit ELO

At peak — 1,226
Next: Level 7 at 1,351 — 125 to go
Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

2,084 below peak (19,109)
+2,026 over 30 days · improving
Next: Pink band at 20,000 — 2,975 to go
Reached: Purple band · Blue band · Light Blue band

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

Aim70

Positioning62

Utility75

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateLWWLLWWTWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −0.8pp headshot accuracy · +17ms 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 0.00
Avg headshot accuracy 14%
Avg reaction 644ms

Last 10

5–4–1 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 15%
Avg reaction 617ms

Last 20

8–11–1 · 40% win rate
Avg rating 0.00
Avg headshot accuracy 15%
Avg reaction 609ms

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 (+1.2 against its own average).

Aim7.0

Utility7.5

Positioning6.2

Opening Duels5.0

Clutch6.6

Strong CT-side openerHigh 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 78% playstyle similarity

Most alike: utility contribution, 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

Areas to improve

Reaction time. 608ms 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

Aim7.0

Positioning6.2

Utility7.5

Mechanics6.2

Opening Duels5.9

Win Impact5.6

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+0.03

first ⅓ avg -0.03 → last ⅓ avg 0.01

Reaction time616ms−56ms

first ⅓ avg 672ms → last ⅓ avg 616ms

Headshot accuracy14.5%−1.9%

first ⅓ avg 16.5% → last ⅓ avg 14.5%

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

0.13Best match rating · 13–3 · cache, 7 Sept →

40%Best headshot accuracy · 10–13 · cache, 22 Jun →

508msFastest reaction time · 7–13 · ancient, 2 Oct →

13–2Biggest win · cache, 6 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak

11–10In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 45% over 22ancientWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
cache	C	43	19–24	44%	-0.01
dust2	B	22	10–12	45%	-0.01
ancient	D	13	4–9	31%	-0.02
mirage	D	6	2–4	33%	-0.01
anubis	C	5	2–3	40%	-0.01
nuke	—	4	1–3	25%	-0.04
inferno	—	4	2–2	50%	-0.04
vertigo	—	1	1–0	100%	-0.01
train	—	1	1–0	100%	-0.03
office	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

402Matches

50%Win rate

1.09Avg K/D

77.0ADR

33%Headshot %

Clutches & streaks

53%1v1 clutch win

20%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	33	67%	1.14	16.0
Dust2	32	50%	1.00	13.8
Mirage	30	53%	1.10	16.0
Nuke	20	35%	0.90	16.9
Cache	12	58%	1.34	17.6
Anubis	11	36%	0.96	15.6
Inferno	7	43%	1.13	14.4
Train	6	67%	1.00	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.

14.7%Headshot accuracy

39.4%Accuracy (enemy spotted)

41.9%Spray accuracy

77.8%Counter-strafing

10.7°Preaim

608msReaction time

47.8%T opening success

59.1%CT opening success

0.70Enemies flashed / flash

7.7%Flash assists

13.49HE damage / grenade

9.80Flashes / 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 14.651% — below the 15% mark we flag
Aim Training →

Spend your practice time on Ancient

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	3–13	-0.05	17%	31 Oct →
cache	13–3	-0.02	24%	31 Oct →
anubis	16–13	0.07	11%	2 Oct →
ancient	7–13	0.04	10%	2 Oct →
dust2	7–13	-0.02	11%	2 Oct →
cache	13–8	-0.01	11%	30 Sept →
mirage	13–5	0.01	28%	28 Sept →
cache	12–12	-0.00	7%	27 Sept →
cache	19–17	0.01	14%	20 Sept →
ancient	14–16	0.03	14%	19 Sept →
cache	8–13	0.02	11%	19 Sept →
dust2	13–11	0.00	18%	19 Sept →
anubis	11–13	-0.04	10%	19 Sept →
dust2	13–11	0.01	17%	15 Sept →
ancient	11–13	0.01	14%	15 Sept →
anubis	2–13	-0.05	15%	15 Sept →
ancient	7–13	-0.01	20%	15 Sept →
dust2	11–13	0.00	6%	14 Sept →
dust2	10–13	0.01	10%	14 Sept →
vertigo	13–11	-0.01	30%	12 Sept →
ancient	9–13	-0.03	15%	7 Sept →
cache	13–3	0.13	18%	7 Sept →
cache	13–2	0.03	13%	6 Sept →
dust2	13–8	0.03	21%	6 Sept →
dust2	13–4	0.04	7%	6 Sept →
dust2	5–13	-0.02	18%	5 Sept →
mirage	10–13	0.04	24%	4 Sept →
dust2	13–8	0.02	8%	4 Sept →
dust2	13–7	0.03	4%	4 Sept →
dust2	13–8	0.06	13%	3 Sept →
dust2	11–13	-0.06	24%	3 Sept →
ancient	3–13	-0.06	11%	3 Sept →
ancient	13–4	0.02	6%	2 Sept →
dust2	11–13	-0.03	10%	2 Sept →
dust2	7–13	-0.05	16%	2 Sept →
dust2	13–9	-0.05	27%	1 Sept →
cache	13–8	0.04	14%	30 Aug →
mirage	3–13	-0.05	29%	30 Aug →
anubis	13–7	0.01	15%	30 Aug →
cache	9–13	-0.02	17%	29 Aug →
cache	13–9	0.01	15%	25 Aug →
ancient	0–13	-0.12	0%	25 Aug →
nuke	3–13	-0.01	7%	22 Aug →
anubis	2–13	-0.04	23%	21 Aug →
dust2	2–13	0.00	24%	20 Aug →
dust2	9–13	-0.04	33%	18 Aug →
cache	13–6	-0.03	24%	17 Aug →
dust2	13–7	-0.07	11%	16 Aug →
mirage	13–11	-0.00	27%	16 Aug →
ancient	13–5	0.00	18%	14 Aug →
train	13–11	-0.03	20%	12 Aug →
ancient	7–13	-0.10	6%	10 Aug →
nuke	11–13	-0.04	7%	5 Aug →
nuke	13–6	-0.04	0%	5 Aug →
inferno	13–11	-0.01	12%	5 Aug →
cache	7–13	0.02	14%	5 Aug →
cache	12–12	0.02	9%	2 Aug →
cache	13–2	0.11	28%	2 Aug →
cache	9–13	-0.05	20%	2 Aug →
cache	13–9	-0.01	7%	1 Aug →
inferno	13–9	-0.01	20%	28 Jul →
dust2	8–13	-0.01	14%	22 Jul →
mirage	10–13	-0.03	27%	22 Jul →
cache	2–13	-0.02	16%	22 Jul →
cache	8–13	-0.04	23%	21 Jul →
inferno	11–13	-0.07	20%	21 Jul →
ancient	10–13	-0.03	5%	21 Jul →
inferno	6–13	-0.05	10%	15 Jul →
mirage	13–16	-0.04	9%	15 Jul →
ancient	13–8	0.02	8%	15 Jul →
office	12–12	-0.06	9%	13 Jul →
cache	11–13	-0.01	7%	6 Jul →
cache	3–13	-0.06	36%	6 Jul →
cache	13–11	-0.07	11%	5 Jul →
cache	3–13	-0.03	22%	5 Jul →
cache	11–13	-0.01	17%	3 Jul →
cache	13–7	-0.05	13%	2 Jul →
cache	13–11	0.01	12%	2 Jul →
cache	5–13	-0.06	23%	1 Jul →
cache	10–13	-0.08	27%	30 Jun →
cache	13–9	0.08	21%	28 Jun →
cache	7–13	-0.08	13%	28 Jun →
cache	12–12	-0.03	20%	25 Jun →
cache	7–13	-0.02	4%	22 Jun →
cache	13–6	-0.08	13%	22 Jun →
cache	6–13	0.01	24%	22 Jun →
cache	10–13	-0.09	40%	22 Jun →
cache	13–11	0.04	23%	21 Jun →
cache	6–13	-0.03	28%	21 Jun →
ancient	13–6	0.01	11%	18 Jun →
cache	13–10	0.00	21%	12 Jun →
cache	3–13	-0.03	13%	12 Jun →
cache	9–13	-0.03	15%	12 Jun →
cache	13–3	0.04	13%	11 Jun →
cache	9–13	-0.02	7%	10 Jun →
dust2	13–10	0.00	21%	9 Jun →
dust2	6–13	-0.03	17%	9 Jun →
cache	5–13	-0.04	26%	9 Jun →
cache	3–1	0.00	0%	9 Jun →
dust2	10–13	-0.03	11%	6 Jun →