󠁳⁧⁧ 𝚙𝚎𝚋𝚎lyy — CS2 Stats

76561198405106001[U:1:444840273]Steam profile ↗✓ No bans

2,267Tracked matches34%Win rate2022Tracked since

3,016Hours in CS33Hrs last 2 wks

CSDB Rating4.4 DevelopingSupport

Premier CS Rating10,145Blue band · top ~54.1% of ranked players (population est.)

CSDB Leaderboard#178666 of 252382 tracked

WingmanGold Nova II

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (2 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: 10,145 -3,756 13 Sept – 14 Oct · 21 days played

14,317Peak Premier in tracked matches

0Highest Faceit ELO seen on CSDB

25Days played since 2026-08-17

Premier CS Rating

3,817 below peak (13,962)
-3,756 over 30 days · declining
Next: Purple band at 15,000 — 4,855 to go
Reached: Blue band · Light Blue band
Blue band first seen 2026-09-19
Light Blue band first seen 2026-09-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Compare periods

Last 30 days vs previous 30

Metric	Last 30	Previous 30	Change
Matches	122	—	—
Win rate	44%	—	—
K/D	0.93	—	—
Headshot %	41%	—	—

Measured 19 Sep 2026 → 16 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	56.9%	42.0%	44.3%	above
Shot accuracy	7.9%	9.6%	11.9%	4.0% short
Kill/death ratio	1.91	0.98	1.03	above
Match win rate	67.0%	43.8%	45.2%	above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

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Performance scores

Aim38

Positioning56

Utility68

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateLLWWWWLLLW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +4.0pp headshot accuracy · +12ms 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 -0.02
Avg headshot accuracy 17%
Avg reaction 613ms

Last 10

5–5 · 50% win rate
Avg rating -0.01
Avg headshot accuracy 16%
Avg reaction 624ms

Last 20

6–14 · 30% win rate
Avg rating -0.02
Avg headshot accuracy 14%
Avg reaction 618ms

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 (+2.6 against its own average).

Aim3.8

Utility6.8

Positioning5.6

Opening Duels4.6

Clutch0.0

Effective flashes

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 jL 58% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 614ms 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

Aim3.8

Positioning5.6

Utility6.8

Mechanics4.6

Opening Duels6.3

Win Impact0.0

Composite 4.4/10 (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-0.01−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.01

Reaction time600ms−8ms

first ⅓ avg 608ms → last ⅓ avg 600ms

Headshot accuracy13.7%+1.3%

first ⅓ avg 12.5% → last ⅓ avg 13.7%

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 · 12–1 · train, 2 Oct →

28%Best headshot accuracy · 8–1 · nuke, 13 Oct →

359msFastest reaction time · 4–13 · office, 2 Oct →

13–1Biggest win · ancient, 17 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak

L2Current streak

4–11In matches decided by ≤2 rounds

7Overtime games

Map breakdown

anubisBest map · 80% over 5cacheWeakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	22	12–10	55%	-0.01
inferno	C	14	6–8	43%	-0.00
nuke	C	14	5–9	36%	-0.01
dust2	C	13	5–8	38%	-0.02
cache	D	12	3–9	25%	-0.01
ancient	A	11	6–5	55%	-0.01
anubis	S	5	4–1	80%	-0.01
vertigo	—	3	1–2	33%	0.01
office	—	2	0–2	0%	-0.04
overpass	—	2	0–2	0%	-0.01
train	—	2	1–1	50%	0.06

Across the last 100 tracked matches.

Lifetime stats

99,140Lifetime kills

1.91K/D · Top 5% of Blue band

8,697Matches

67.0%Match win rate · Top 1% of Blue band

56.9%Headshot % · Top 10% of Blue band

7.9%Shot accuracy

12,894MVPs

1,211Hours (in match)

2,170Bombs planted

1,485Bombs defused

Most-used weapons

AK-4718,520

M4A4 / M4A1-S15,437

P2000 / USP-S5,936

Desert Eagle5,864

AWP5,660

Glock-184,512

MP73,972

MP93,538

Galil AR3,215

MAC-102,640

Lifetime map wins

11,338dust2

5,818nuke

3,225inferno

1,266vertigo

839train

429office

215italy

155cbble

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

Faceit stats

Combat

6Matches

17%Win rate

0.66Avg K/D

72.0ADR

48%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	2	50%	0.56	8.5
Mirage	1	0%	0.32	9.0
Ancient	1	0%	0.62	10.0
Cache	1	0%	0.55	11.0
Anubis	1	0%	1.32	25.0

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.

13.5%Headshot accuracy

27.9%Accuracy (enemy spotted)

30.2%Spray accuracy

70.5%Counter-strafing

9.9°Preaim

614msReaction time

59.0%T opening success

51.1%CT opening success

0.70Enemies flashed / flash

13.7%Flash assists

9.29HE damage / grenade

10.54Flashes / 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 13.529% — below the 15% mark we flag
Aim Training →

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

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