𝐛𝐥𝐞𝐬𝐬𝐪.exe — CS2 Stats

HN76561199843199652[U:1:1882933924]Steam profile ↗✓ No bans

270Tracked matches38%Win rate2025Tracked since

931Hours in CS2Hrs last 2 wks

CSDB Rating5.9 SolidPositional Player

Premier CS Rating17,463Purple band · top ~18.6% of ranked players (population est.)

CSDB Leaderboard#120996 of 261690 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 270 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 17,463 -5,203 18 Jul – 31 Oct · 22 days played

23,226Peak Premier in tracked matches

21Days played since 2026-07-18

Premier CS Rating

5,203 below peak (22,666)
0 over 30 days · steady
-2,940 over 90 days
Next: Pink band at 20,000 — 2,537 to go
Reached: Pink band · Purple band · Blue band · Light Blue band
Purple band first seen 2026-10-31
Blue band first seen 2026-10-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=42,517), 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	Purple band median	Pink band median	vs Pink band
Headshot rate	48.9%	44.4%	46.9%	above
Shot accuracy	0.0%	11.8%	13.0%	13.0% short
Kill/death ratio	1.10	1.03	1.08	meets
Match win rate	49.0%	45.3%	46.7%	above

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

Widest gap: Shot accuracy. That is the metric furthest from the Pink 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

Aim82

Positioning59

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY41–54–5Last 10041%Win rateWLWWLLWLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −1.1pp headshot accuracy · +8ms reaction

Win rate 0pp 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

3–2 · 60% win rate
Avg rating 0.01
Avg headshot accuracy 21%
Avg reaction 486ms

Last 10

4–6 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 20%
Avg reaction 519ms

Last 20

8–12 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 20%
Avg reaction 515ms

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: Positional Player — Positioning stands above the rest of this profile (+2.4 against its own average).

Aim8.2

Utility5.1

Positioning5.9

Opening Duels3.1

Clutch0.0

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 94% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 54% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.2

Positioning5.9

Utility5.1

Mechanics7.3

Opening Duels3.4

Win Impact1.0

Composite 5.9/10 (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-0.01−0.03

first ⅓ avg 0.02 → last ⅓ avg -0.01

Reaction time539ms−7ms

first ⅓ avg 546ms → last ⅓ avg 539ms

Headshot accuracy20.6%−2.6%

first ⅓ avg 23.2% → last ⅓ avg 20.6%

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 · 13–4 · mirage, 1 Aug →

45%Best headshot accuracy · 4–13 · dust2, 26 Jul →

406msFastest reaction time · 13–3 · mirage, 17 Aug →

13–1Biggest win · mirage, 21 Jul →

Across the last 100 tracked matches.

Highlights

3Longest win streak

6–3In matches decided by ≤2 rounds

14Overtime games

Map breakdown

anubisBest map · 64% over 11ancientWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	39	17–22	44%	0.01
dust2	C	30	12–18	40%	0.01
anubis	A	11	7–4	64%	0.05
ancient	D	9	2–7	22%	0.01
nuke	D	7	2–5	29%	0.01
inferno	—	2	1–1	50%	-0.00
cache	—	2	0–2	0%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,897Lifetime kills

1.10K/D · Top 50% of Purple band

891Matches

49.0%Match win rate · Top 25% of Purple band

48.9%Headshot % · Top 50% of Purple band

0.0%Shot accuracy

2,121MVPs

505Hours (in match)

755Bombs planted

228Bombs defused

Most-used weapons

AK-476,611

AWP3,370

M4A4 / M4A1-S2,597

Desert Eagle2,049

P2000 / USP-S1,022

Glock-18548

Galil AR356

SSG 08286

HE Grenade171

P250139

Lifetime map wins

2,403dust2

580nuke

527inferno

33vertigo

15train

2ar_baggage

1ar_shoots

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

Faceit stats

Combat

2Matches

0%Win rate

1.10Avg K/D

94.6ADR

43%Headshot %

Clutches & streaks

20%1v1 clutch win

17%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

21.4%Headshot accuracy

33.1%Accuracy (enemy spotted)

38.1%Spray accuracy

83.1%Counter-strafing

8.3°Preaim

536msReaction time

32.4%T opening success

54.5%CT opening success

0.68Enemies flashed / flash

4.4%Flash assists

6.48HE damage / grenade

9.09Flashes / 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 32.3573% — below the 40% mark we flag

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.

22% win rate across 9 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
dust2	13–9	0.05	13%	5 Oct →
mirage	10–13	0.02	24%	5 Oct →
mirage	13–10	0.00	16%	25 Sept →
mirage	13–4	0.01	13%	21 Aug →
dust2	7–13	-0.02	41%	21 Aug →
dust2	3–13	-0.10	17%	19 Aug →
mirage	13–10	-0.00	20%	19 Aug →
dust2	3–13	-0.06	9%	19 Aug →
ancient	13–16	-0.03	29%	19 Aug →
mirage	10–13	-0.00	20%	18 Aug →
mirage	1–13	-0.10	27%	18 Aug →
dust2	16–12	0.04	22%	18 Aug →
mirage	13–5	-0.07	16%	18 Aug →
dust2	8–13	0.10	23%	18 Aug →
nuke	13–2	0.07	14%	17 Aug →
mirage	13–3	0.02	26%	17 Aug →
dust2	4–13	-0.08	17%	17 Aug →
dust2	12–16	-0.05	21%	17 Aug →
mirage	10–13	0.02	31%	17 Aug →
mirage	11–13	0.01	15%	16 Aug →
anubis	13–7	0.02	22%	16 Aug →
dust2	13–5	0.09	28%	16 Aug →
nuke	6–13	-0.10	14%	10 Aug →
mirage	3–13	-0.01	15%	10 Aug →
dust2	4–13	-0.08	7%	10 Aug →
dust2	13–5	0.01	19%	10 Aug →
dust2	6–13	0.01	22%	10 Aug →
nuke	15–15	-0.02	33%	10 Aug →
dust2	10–13	-0.06	25%	10 Aug →
nuke	6–13	0.01	32%	9 Aug →
inferno	5–13	-0.02	25%	9 Aug →
ancient	13–9	0.02	3%	9 Aug →
dust2	7–13	0.01	24%	9 Aug →
mirage	13–9	0.04	25%	9 Aug →
mirage	13–10	-0.00	13%	9 Aug →
mirage	13–16	0.01	24%	7 Aug →
anubis	13–9	0.04	19%	7 Aug →
mirage	4–13	-0.05	10%	7 Aug →
mirage	13–10	-0.03	9%	3 Aug →
anubis	15–15	0.02	23%	3 Aug →
dust2	9–13	0.03	16%	3 Aug →
mirage	7–13	0.08	34%	3 Aug →
dust2	13–6	0.04	14%	3 Aug →
anubis	15–15	0.07	9%	3 Aug →
mirage	14–16	0.02	27%	2 Aug →
mirage	13–9	0.06	17%	2 Aug →
mirage	15–15	-0.01	10%	2 Aug →
dust2	13–7	0.04	27%	2 Aug →
dust2	16–14	0.02	15%	2 Aug →
anubis	7–13	0.07	26%	1 Aug →
mirage	7–13	-0.03	39%	1 Aug →
dust2	4–9	0.05	29%	1 Aug →
nuke	8–13	0.09	39%	1 Aug →
dust2	13–3	0.15	22%	1 Aug →
inferno	13–10	0.02	18%	1 Aug →
mirage	13–7	0.03	18%	1 Aug →
ancient	5–13	0.06	17%	1 Aug →
mirage	13–4	0.17	15%	1 Aug →
dust2	1–13	0.01	24%	28 Jul →
dust2	7–13	-0.00	39%	28 Jul →
mirage	9–13	-0.02	18%	28 Jul →
ancient	8–13	-0.01	17%	28 Jul →
mirage	5–13	0.04	28%	28 Jul →
mirage	6–13	-0.01	27%	27 Jul →
cache	8–13	-0.02	18%	27 Jul →
mirage	0–7	-0.07	0%	27 Jul →
ancient	6–13	0.01	22%	27 Jul →
mirage	7–13	0.03	19%	27 Jul →
ancient	3–13	-0.01	14%	26 Jul →
mirage	13–11	0.07	24%	26 Jul →
mirage	13–9	0.05	38%	26 Jul →
mirage	13–6	0.02	32%	26 Jul →
dust2	4–13	-0.04	45%	26 Jul →
anubis	13–9	0.04	17%	26 Jul →
dust2	13–8	-0.01	22%	26 Jul →
dust2	13–10	-0.03	24%	26 Jul →
nuke	7–13	-0.00	21%	26 Jul →
mirage	13–16	-0.01	22%	26 Jul →
anubis	13–11	0.08	4%	23 Jul →
nuke	13–9	0.02	16%	23 Jul →
mirage	7–13	0.09	26%	23 Jul →
anubis	13–5	0.05	15%	23 Jul →
cache	10–13	0.03	10%	23 Jul →
mirage	7–13	0.01	30%	23 Jul →
dust2	13–11	0.04	31%	23 Jul →
dust2	7–13	-0.05	18%	21 Jul →
mirage	13–1	0.07	21%	21 Jul →
anubis	13–7	0.05	29%	21 Jul →
dust2	13–11	0.03	44%	21 Jul →
ancient	15–15	-0.01	20%	21 Jul →
dust2	13–16	0.01	14%	21 Jul →
ancient	8–13	0.02	18%	20 Jul →
anubis	10–13	0.04	14%	20 Jul →
dust2	7–13	0.01	19%	19 Jul →
mirage	13–3	0.09	36%	19 Jul →
mirage	10–13	0.01	22%	18 Jul →
mirage	13–7	0.02	29%	18 Jul →
ancient	13–11	0.00	15%	18 Jul →
anubis	13–4	0.03	29%	18 Jul →
mirage	14–16	-0.03	28%	18 Jul →