bLuB — CS2 Stats

DE76561199144683725[U:1:1184417997]Steam profile ↗✓ No bans

3,114Tracked matches48%Win rate2021Tracked since

CSDB Rating3.5 LearningPositional Player

Premier CS Rating3,331Grey band · top ~85.9% of ranked players (population est.)

CSDB Leaderboard#206578 of 259235 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (yesterday). 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: 3,331 +473 1 Sept – 31 Oct · 18 days played

3,482Peak Premier in tracked matches

15Days played since 2026-09-01

Premier CS Rating

151 below peak (3,482)
+132 over 30 days · steady
Next: Light Blue band at 5,000 — 1,669 to go

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

Aim27

Positioning48

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY40–55–5Last 10040%Win rateLTWWLWLWWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.7pp headshot accuracy · +48ms reaction

Win rate +10pp 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

2–2–1 · 40% win rate
Avg rating -0.04
Avg headshot accuracy 10%
Avg reaction 702ms

Last 10

5–4–1 · 50% win rate
Avg rating -0.02
Avg headshot accuracy 10%
Avg reaction 722ms

Last 20

9–8–3 · 45% win rate
Avg rating -0.02
Avg headshot accuracy 11%
Avg reaction 698ms

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 (+1.2 against its own average).

Aim2.7

Utility3.2

Positioning4.8

Opening Duels2.7

Limited utility dependence

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 68% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 720ms 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

Aim2.7

Positioning4.8

Utility3.2

Mechanics4.5

Opening Duels5.0

Win Impact4.4

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time721ms+10ms

first ⅓ avg 711ms → last ⅓ avg 721ms

Headshot accuracy10.9%−1.3%

first ⅓ avg 12.2% → last ⅓ avg 10.9%

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

0.15Best match rating · 13–9 · cache, 25 Oct →

27%Best headshot accuracy · 10–13 · dust2, 28 Oct →

516msFastest reaction time · 9–13 · mirage, 29 Oct →

13–1Biggest win · dust2, 25 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak

5–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 67% over 6dust2Weakest map · 23% over 26

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	26	6–20	23%	-0.03
cache	B	23	12–11	52%	0.01
inferno	C	17	7–10	41%	-0.01
mirage	C	11	4–7	36%	-0.01
anubis	C	9	4–5	44%	-0.01
ancient	S	6	4–2	67%	-0.01
nuke	C	5	2–3	40%	-0.03
office	—	2	1–1	50%	-0.06
train	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (23% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches

18%Win rate

0.39Avg K/D

—ADR

44%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

1Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	2	0%	0.48	7.5
Vertigo	1	100%	0.72	13.0
Ancient	1	0%	0.38	6.0
Anubis	1	0%	0.62	18.0

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.

10.6%Headshot accuracy

32.7%Accuracy (enemy spotted)

31.9%Spray accuracy

70.2%Counter-strafing

11.9°Preaim

720msReaction time

56.4%T opening success

43.5%CT opening success

0.35Enemies flashed / flash

0.5%Flash assists

10.40HE damage / grenade

1.98Flashes / 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 10.635% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 719.8996ms — above the 700ms 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 0.348 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Dust 2

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

23% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	11–13	-0.03	9%	31 Oct →
cache	15–15	0.00	11%	31 Oct →
inferno	13–4	-0.03	11%	31 Oct →
dust2	13–2	-0.09	4%	31 Oct →
office	9–13	-0.06	14%	31 Oct →
inferno	16–13	0.00	11%	31 Oct →
inferno	10–13	-0.05	11%	30 Oct →
anubis	13–8	-0.01	7%	30 Oct →
ancient	13–5	0.02	6%	30 Oct →
cache	10–13	0.05	18%	30 Oct →
cache	13–7	0.05	7%	30 Oct →
cache	10–13	0.00	10%	30 Oct →
mirage	13–7	0.08	4%	30 Oct →
dust2	13–10	-0.04	10%	30 Oct →
dust2	11–13	-0.07	24%	29 Oct →
dust2	15–15	-0.03	13%	29 Oct →
mirage	9–13	0.01	5%	29 Oct →
cache	12–12	-0.00	12%	29 Oct →
office	13–9	-0.05	11%	29 Oct →
train	4–13	-0.09	12%	29 Oct →
dust2	9–13	-0.06	8%	29 Oct →
dust2	5–13	-0.06	16%	29 Oct →
dust2	11–13	-0.03	5%	29 Oct →
cache	13–8	-0.01	8%	29 Oct →
dust2	10–13	-0.02	27%	28 Oct →
mirage	12–16	-0.06	9%	28 Oct →
inferno	10–13	0.05	4%	28 Oct →
nuke	13–8	0.06	8%	28 Oct →
nuke	13–11	0.03	11%	28 Oct →
cache	13–3	0.05	7%	28 Oct →
dust2	10–13	0.02	16%	28 Oct →
cache	7–13	-0.00	15%	28 Oct →
dust2	5–13	-0.06	16%	27 Oct →
dust2	5–13	-0.07	23%	27 Oct →
inferno	9–13	0.06	19%	27 Oct →
inferno	13–9	0.03	12%	27 Oct →
ancient	13–9	0.01	7%	27 Oct →
cache	9–13	-0.02	12%	27 Oct →
ancient	13–11	0.00	11%	27 Oct →
inferno	5–13	-0.00	17%	26 Oct →
cache	13–7	0.05	15%	26 Oct →
inferno	11–13	-0.07	13%	26 Oct →
cache	13–9	-0.05	7%	26 Oct →
nuke	1–13	-0.05	7%	26 Oct →
dust2	4–13	-0.08	9%	26 Oct →
mirage	15–15	-0.02	1%	25 Oct →
dust2	13–1	-0.10	18%	25 Oct →
cache	16–14	0.00	10%	25 Oct →
cache	9–13	-0.05	14%	25 Oct →
cache	13–5	0.06	8%	25 Oct →
cache	13–9	0.15	12%	25 Oct →
dust2	8–13	-0.01	10%	24 Oct →
cache	4–13	-0.03	15%	24 Oct →
anubis	8–13	-0.06	17%	24 Oct →
dust2	11–13	-0.08	9%	24 Oct →
inferno	7–13	-0.01	15%	23 Oct →
inferno	13–8	0.03	6%	23 Oct →
inferno	6–13	-0.06	11%	23 Oct →
dust2	11–13	0.04	14%	23 Oct →
ancient	9–13	-0.03	20%	23 Oct →
inferno	9–13	0.01	18%	23 Oct →
mirage	1–13	-0.04	12%	22 Oct →
anubis	13–3	0.00	6%	22 Oct →
inferno	7–13	-0.03	17%	22 Oct →
dust2	3–13	0.03	12%	21 Oct →
dust2	1–13	-0.11	25%	21 Oct →
ancient	6–13	-0.03	7%	21 Oct →
mirage	3–13	-0.02	21%	21 Oct →
cache	10–13	0.12	17%	21 Oct →
mirage	13–6	-0.04	19%	20 Oct →
inferno	13–7	-0.04	3%	20 Oct →
cache	13–3	0.03	22%	20 Oct →
cache	13–8	0.03	5%	20 Oct →
dust2	15–15	0.02	11%	20 Oct →
cache	13–5	0.04	7%	20 Oct →
cache	5–13	0.02	9%	20 Oct →
anubis	13–9	-0.03	16%	20 Oct →
anubis	9–13	0.00	10%	19 Oct →
dust2	4–13	-0.00	12%	19 Oct →
anubis	9–13	0.05	10%	19 Oct →
mirage	6–13	-0.04	21%	19 Oct →
nuke	10–13	-0.08	14%	19 Oct →
inferno	13–7	-0.02	4%	18 Oct →
mirage	13–8	0.05	14%	18 Oct →
dust2	13–11	0.04	21%	18 Oct →
dust2	7–13	-0.03	12%	18 Oct →
nuke	3–13	-0.13	8%	18 Oct →
mirage	12–1	0.02	11%	18 Oct →
ancient	13–5	-0.01	4%	18 Oct →
anubis	9–13	0.03	14%	18 Oct →
dust2	8–13	-0.02	10%	18 Oct →
inferno	2–13	-0.07	25%	18 Oct →
anubis	13–9	-0.06	11%	17 Oct →
inferno	13–11	-0.04	4%	17 Oct →
dust2	13–3	0.09	20%	17 Oct →
dust2	13–7	-0.01	8%	17 Oct →
mirage	8–13	-0.05	3%	17 Oct →
cache	7–13	-0.09	12%	17 Oct →
cache	13–8	-0.06	9%	17 Oct →
dust2	7–13	0.05	16%	17 Oct →