𝓓𝓪𝓮𝓓𝓻𝓮𝓪𝓶 — CS2 Stats

76561199383334349[U:1:1423068621]Steam profile ↗✓ No bans

3,883Tracked matches66%Win rate2023Tracked since

CSDB Rating5.4 DevelopingClutch Specialist

Premier CS Rating11,054Blue band · top ~49.3% of ranked players (population est.)

CSDB Leaderboard#173624 of 251476 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−8Premier CS Rating · 11,062 → 11,054

Rating over time

Premier CS Rating: 11,054 +2,473 31 Aug – 14 Oct · 14 days played

11,416Peak Premier in tracked matches

16Days played since 2026-08-31

Premier CS Rating

92 below peak (11,146)
+2,617 over 30 days · improving
Next: Purple band at 15,000 — 3,946 to go
Reached: Blue band · Light Blue band
Light Blue band first seen 2026-08-31

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

Aim52

Positioning54

Utility40

0–100 skill scores via Leetify.

Recent form

HOT53–41–6Last 10053%Win rateLWLWLWWWWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −3.0pp headshot accuracy · −117ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

2–3 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 10%
Avg reaction 591ms

Last 10

7–3 · 70% win rate
Avg rating 0.00
Avg headshot accuracy 12%
Avg reaction 602ms

Last 20

12–8 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 13%
Avg reaction 660ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4.7 against its own average).

Aim5.2

Utility4.0

Positioning5.4

Opening Duels1.8

Clutch10.0

Limited utility dependenceReliable in 1v1s

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 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 628ms 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

Aim5.2

Positioning5.4

Utility4.0

Mechanics7.4

Opening Duels3.2

Win Impact10.0

Composite 5.4/10 (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 rating0.01+0.00

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time638ms+23ms

first ⅓ avg 615ms → last ⅓ avg 638ms

Headshot accuracy13.2%+0.6%

first ⅓ avg 12.7% → last ⅓ avg 13.2%

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

0.17Best match rating · 13–3 · dust2, 5 Oct →

33%Best headshot accuracy · 2–6 · nuke, 10 Oct →

484msFastest reaction time · 13–8 · ancient, 29 Sept →

13–2Biggest win · dust2, 4 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak

4–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 58% over 26infernoWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	26	14–12	54%	0.00
nuke	A	26	15–11	58%	0.01
mirage	A	20	11–9	55%	0.00
inferno	D	9	3–6	33%	-0.02
ancient	A	9	5–4	56%	0.03
cache	D	6	2–4	33%	-0.01
anubis	—	2	1–1	50%	-0.04
vertigo	—	2	2–0	100%	0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1Matches

100%Win rate

0.50Avg K/D

54.0ADR

86%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLLLW

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.

12.8%Headshot accuracy

33.6%Accuracy (enemy spotted)

33.5%Spray accuracy

83.3%Counter-strafing

11.6°Preaim

628msReaction time

40.9%T opening success

44.6%CT opening success

0.38Enemies flashed / flash

5.9%Flash assists

11.15HE damage / grenade

4.02Flashes / 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 12.8096% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3822 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	9–13	-0.00	8%	14 Oct →
dust2	13–10	0.03	14%	14 Oct →
nuke	11–13	-0.02	9%	14 Oct →
inferno	13–9	-0.01	10%	14 Oct →
anubis	9–13	-0.02	8%	13 Oct →
dust2	16–12	-0.04	18%	13 Oct →
mirage	13–5	-0.02	10%	13 Oct →
cache	13–11	0.01	18%	13 Oct →
vertigo	13–10	0.05	10%	13 Oct →
dust2	13–6	0.03	13%	12 Oct →
nuke	13–6	0.06	13%	11 Oct →
mirage	13–11	0.06	5%	11 Oct →
dust2	13–4	-0.01	19%	11 Oct →
mirage	11–13	0.01	9%	10 Oct →
nuke	2–6	0.06	33%	10 Oct →
mirage	13–8	-0.02	13%	10 Oct →
cache	9–13	-0.04	15%	9 Oct →
mirage	1–13	-0.07	21%	9 Oct →
mirage	13–3	-0.03	9%	9 Oct →
ancient	6–13	0.02	7%	9 Oct →
dust2	8–13	0.00	16%	8 Oct →
mirage	16–12	-0.05	12%	8 Oct →
cache	13–3	-0.02	20%	8 Oct →
nuke	13–8	0.00	13%	8 Oct →
nuke	13–5	0.07	14%	8 Oct →
anubis	13–10	-0.06	1%	7 Oct →
inferno	13–5	0.09	26%	7 Oct →
dust2	13–8	0.04	9%	7 Oct →
cache	15–15	-0.03	11%	7 Oct →
nuke	8–13	0.02	22%	7 Oct →
inferno	13–9	-0.00	9%	6 Oct →
nuke	10–2	0.07	12%	6 Oct →
nuke	16–12	0.01	9%	6 Oct →
dust2	11–13	0.06	15%	5 Oct →
nuke	13–7	-0.04	11%	5 Oct →
nuke	13–4	0.03	10%	5 Oct →
mirage	13–5	0.00	22%	5 Oct →
dust2	10–13	0.03	13%	5 Oct →
nuke	13–11	0.01	14%	5 Oct →
dust2	13–7	-0.00	23%	5 Oct →
inferno	9–13	-0.00	9%	5 Oct →
mirage	13–5	0.02	9%	5 Oct →
nuke	13–8	0.00	13%	5 Oct →
ancient	9–13	-0.01	13%	5 Oct →
nuke	13–11	0.11	11%	5 Oct →
dust2	13–3	0.17	14%	5 Oct →
mirage	12–12	-0.00	15%	5 Oct →
nuke	8–13	0.09	16%	4 Oct →
dust2	13–2	0.07	15%	4 Oct →
nuke	4–13	-0.04	8%	2 Oct →
mirage	3–13	-0.07	10%	2 Oct →
nuke	6–13	-0.12	7%	2 Oct →
nuke	13–3	-0.01	14%	2 Oct →
dust2	13–2	-0.04	11%	2 Oct →
inferno	3–13	-0.08	11%	2 Oct →
nuke	13–10	-0.10	10%	2 Oct →
nuke	10–13	-0.06	16%	2 Oct →
dust2	9–13	-0.06	10%	2 Oct →
cache	7–13	0.02	10%	2 Oct →
inferno	8–13	-0.07	22%	2 Oct →
inferno	15–15	-0.03	10%	2 Oct →
nuke	8–13	0.04	8%	2 Oct →
ancient	13–8	0.05	8%	2 Oct →
mirage	13–6	0.04	15%	2 Oct →
inferno	10–13	0.04	17%	2 Oct →
mirage	9–13	0.05	14%	2 Oct →
dust2	13–10	0.09	18%	2 Oct →
nuke	8–13	-0.03	4%	2 Oct →
dust2	5–13	-0.08	23%	2 Oct →
dust2	13–10	-0.02	7%	1 Oct →
mirage	15–15	-0.01	11%	1 Oct →
ancient	13–7	0.04	14%	1 Oct →
dust2	13–3	0.08	24%	1 Oct →
dust2	13–10	-0.02	19%	1 Oct →
mirage	13–5	-0.00	23%	1 Oct →
dust2	13–5	0.03	9%	1 Oct →
mirage	8–13	-0.03	14%	1 Oct →
dust2	9–13	-0.05	14%	1 Oct →
mirage	12–12	0.07	14%	30 Sept →
mirage	12–12	0.00	13%	30 Sept →
nuke	4–13	-0.03	13%	30 Sept →
nuke	13–2	0.06	8%	30 Sept →
mirage	13–9	0.07	9%	30 Sept →
ancient	9–13	0.02	9%	30 Sept →
dust2	11–13	-0.06	5%	30 Sept →
vertigo	13–4	0.10	25%	30 Sept →
ancient	13–10	0.03	11%	30 Sept →
cache	9–13	0.01	8%	30 Sept →
dust2	11–13	-0.06	10%	30 Sept →
ancient	14–16	-0.03	10%	29 Sept →
dust2	7–13	-0.01	10%	29 Sept →
ancient	13–8	0.02	10%	29 Sept →
inferno	4–13	-0.09	9%	29 Sept →
ancient	13–5	0.13	15%	29 Sept →
nuke	13–9	0.03	20%	29 Sept →
dust2	10–13	-0.06	7%	29 Sept →
nuke	8–13	0.01	20%	28 Sept →
mirage	13–6	-0.02	8%	28 Sept →
nuke	13–8	-0.02	14%	28 Sept →
dust2	5–13	-0.01	9%	28 Sept →