yawn — CS2 Stats

US76561198003555994[U:1:43290266]Steam profile ↗✓ No bans

1,963Tracked matches61%Win rate2022Tracked since

CSDB Rating6.6 SolidSupport

CSDB Leaderboard#244180 of 251316 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (43 days ago). Ranks are recorded once per day this page is viewed.

+69Tracked matches · now 1,963

−6.0ppWin rate · 66.7% → 60.7%

Rating over time

1,180Highest Faceit ELO seen on CSDB

37Days played since 2026-08-20

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

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

Aim77

Positioning46

Utility60

0–100 skill scores via Leetify.

Recent form

HOT51–35–14Last 10051%Win rateWLWWLWWWWL

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −1.7pp headshot accuracy · +36ms reaction

Win rate up 40pp 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

3–2 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 8%
Avg reaction 628ms

Last 10

7–3 · 70% win rate
Avg rating -0.00
Avg headshot accuracy 11%
Avg reaction 641ms

Last 20

10–9–1 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 12%
Avg reaction 623ms

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 against its own average).

Aim7.7

Utility6.0

Positioning4.6

Opening Duels1.6

Clutch4.0

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 Twistzz 97% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

Aim7.7

Positioning4.6

Utility6.0

Mechanics8.0

Opening Duels3.9

Win Impact8.6

Composite 6.6/10 (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 rating-0.00−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time602ms−30ms

first ⅓ avg 632ms → last ⅓ avg 602ms

Headshot accuracy12.7%−1.4%

first ⅓ avg 14.1% → last ⅓ avg 12.7%

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 · 13–0 · dust2, 27 Sept →

33%Best headshot accuracy · 12–12 · dust2, 11 Sept →

438msFastest reaction time · 10–13 · dust2, 26 Sept →

13–0Biggest win · dust2, 27 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

6–5In matches decided by ≤2 rounds

Map breakdown

Strongest and weakest map need 5+ matches on two different maps — 1 of 2 maps qualify so far.

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	98	50–48	51%	0.01
nuke	—	2	1–1	50%	0.07

Across the last 100 tracked matches.

Faceit stats

Combat

245Matches

52%Win rate

1.01Avg K/D

78.9ADR

39%Headshot %

Clutches & streaks

40%1v1 clutch win

23%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	19	63%	1.17	16.7
Mirage	17	53%	1.19	14.2
Ancient	13	62%	1.03	15.2
Anubis	10	40%	1.14	15.7
Inferno	10	50%	1.31	15.1
Nuke	8	100%	1.50	16.9
Overpass	5	20%	1.09	16.2
Vertigo	3	33%	0.92	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.

12.6%Headshot accuracy

39.7%Accuracy (enemy spotted)

41.9%Spray accuracy

86.1%Counter-strafing

9.2°Preaim

613msReaction time

45.8%T opening success

45.3%CT opening success

0.65Enemies flashed / flash

6.9%Flash assists

8.97HE damage / grenade

10.23Flashes / 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 12.5532% — below the 15% mark we flag
Aim Training →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–10	0.00	19%	11 Oct →
dust2	4–13	-0.01	3%	11 Oct →
dust2	13–9	0.01	13%	11 Oct →
dust2	13–11	-0.04	5%	10 Oct →
dust2	7–13	-0.04	2%	10 Oct →
dust2	13–8	-0.02	13%	8 Oct →
dust2	13–10	0.02	15%	8 Oct →
dust2	13–11	0.02	21%	8 Oct →
dust2	13–6	0.04	12%	4 Oct →
dust2	3–13	-0.03	5%	4 Oct →
dust2	2–13	-0.02	16%	3 Oct →
dust2	8–13	-0.03	9%	3 Oct →
dust2	13–6	0.02	9%	3 Oct →
dust2	13–5	-0.01	6%	3 Oct →
dust2	12–12	-0.03	15%	1 Oct →
dust2	10–13	-0.06	8%	27 Sept →
dust2	13–0	0.13	21%	27 Sept →
dust2	11–13	0.02	11%	27 Sept →
dust2	9–13	-0.03	13%	27 Sept →
dust2	11–13	-0.07	17%	27 Sept →
dust2	13–9	0.05	11%	27 Sept →
dust2	8–13	-0.02	12%	27 Sept →
dust2	13–2	-0.03	10%	27 Sept →
dust2	0–13	-0.09	11%	27 Sept →
dust2	13–8	0.02	12%	26 Sept →
dust2	13–7	-0.00	17%	26 Sept →
dust2	13–4	-0.03	24%	26 Sept →
dust2	12–12	0.02	11%	26 Sept →
dust2	13–8	0.12	15%	26 Sept →
dust2	13–6	-0.01	20%	26 Sept →
dust2	10–13	-0.01	15%	26 Sept →
dust2	13–10	0.00	17%	24 Sept →
dust2	7–13	-0.06	11%	23 Sept →
dust2	12–12	0.06	13%	22 Sept →
dust2	8–13	-0.05	9%	22 Sept →
dust2	8–13	-0.04	6%	21 Sept →
dust2	12–12	-0.01	19%	21 Sept →
dust2	9–13	0.00	17%	20 Sept →
dust2	13–11	-0.03	21%	18 Sept →
dust2	8–13	-0.01	15%	17 Sept →
dust2	2–13	-0.02	14%	17 Sept →
dust2	13–8	-0.00	13%	16 Sept →
dust2	6–13	-0.03	11%	16 Sept →
dust2	13–7	0.02	20%	15 Sept →
dust2	10–13	-0.03	17%	13 Sept →
dust2	13–1	-0.01	8%	13 Sept →
dust2	13–9	-0.01	22%	13 Sept →
dust2	12–12	0.06	18%	13 Sept →
dust2	11–13	0.02	13%	13 Sept →
dust2	13–7	0.07	14%	13 Sept →
dust2	13–4	-0.01	8%	12 Sept →
dust2	1–13	-0.06	14%	11 Sept →
dust2	12–12	0.02	33%	11 Sept →
dust2	9–13	-0.04	16%	7 Sept →
dust2	13–11	-0.01	19%	6 Sept →
dust2	5–2	0.00	17%	6 Sept →
dust2	11–13	-0.04	24%	5 Sept →
dust2	13–7	0.00	14%	5 Sept →
dust2	12–12	0.04	25%	5 Sept →
dust2	13–5	0.07	15%	4 Sept →
dust2	13–11	0.04	16%	4 Sept →
dust2	12–12	0.04	7%	4 Sept →
dust2	0–4	-0.06	17%	3 Sept →
dust2	13–0	0.05	25%	3 Sept →
dust2	13–4	0.05	15%	3 Sept →
dust2	13–8	0.06	19%	3 Sept →
dust2	8–13	0.00	13%	2 Sept →
dust2	13–3	0.05	16%	1 Sept →
dust2	11–13	0.03	7%	31 Aug →
dust2	4–13	-0.01	26%	29 Aug →
dust2	8–13	-0.01	9%	29 Aug →
dust2	13–7	0.09	19%	29 Aug →
dust2	13–6	0.05	20%	29 Aug →
dust2	13–7	0.01	13%	29 Aug →
dust2	12–12	-0.01	11%	29 Aug →
dust2	2–13	-0.09	12%	29 Aug →
dust2	13–8	0.07	13%	29 Aug →
dust2	13–7	0.04	11%	29 Aug →
dust2	12–12	-0.06	21%	29 Aug →
dust2	13–8	0.00	8%	28 Aug →
dust2	6–13	0.01	15%	28 Aug →
dust2	12–12	-0.02	23%	27 Aug →
dust2	13–2	-0.04	13%	27 Aug →
dust2	10–13	0.08	12%	27 Aug →
dust2	12–12	0.07	17%	27 Aug →
dust2	13–10	0.06	16%	26 Aug →
dust2	13–8	0.00	9%	26 Aug →
dust2	13–8	0.08	9%	24 Aug →
dust2	13–4	0.03	10%	24 Aug →
dust2	10–13	-0.02	9%	23 Aug →
nuke	13–11	0.09	15%	23 Aug →
dust2	7–13	0.00	19%	22 Aug →
nuke	12–12	0.05	21%	22 Aug →
dust2	13–8	0.04	21%	22 Aug →
dust2	13–6	0.06	20%	21 Aug →
dust2	7–13	0.01	6%	21 Aug →
dust2	12–12	0.08	20%	21 Aug →
dust2	13–0	0.02	8%	21 Aug →
dust2	13–7	-0.04	9%	20 Aug →
dust2	13–4	0.09	9%	20 Aug →