✪ Bloo☁ — CS2 Stats

76561199563049634[U:1:1602783906]✓ No bans

2,094Tracked matches37%Win rate2023Tracked since

CSDB Rating3.0 Learning

Ladder ranks via Leetify

Performance scores

Aim29

Positioning42

Utility34

0–100 skill scores via Leetify.

Recent form

COLD36–58–6Last 10036%Win rateLLWWLLLLWT

Last 10 vs previous 10: -30pp win rate · +0.03 avg rating

Player DNA

Aim2.9

Aggression3.4

Utility3.4

Positioning4.2

Opening Duels0.0

Clutch6.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 71% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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. 715ms 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

Aim2.9

Positioning4.2

Utility3.4

Mechanics4.5

Opening Duels0.3

Win Impact0.7

Composite 3.0/10 (Learning), 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-0.02−0.04

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time719ms−34ms

first ⅓ avg 753ms → last ⅓ avg 719ms

Headshot accuracy18.9%−2.1%

first ⅓ avg 21.1% → last ⅓ avg 18.9%

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.

Highlights

0.14Best rating — vertigo 13–9

13–1Biggest win — dust2

5Longest win streak

L2Current streak

3–8In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 50% over 10cacheWeakest map · 13% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	18	7–11	39%	-0.00
inferno	D	16	5–11	31%	-0.00
vertigo	C	15	6–9	40%	-0.00
office	C	11	4–7	36%	0.02
dust2	B	10	5–5	50%	-0.01
cache	D	8	1–7	13%	-0.01
ancient	B	8	4–4	50%	-0.01
train	D	5	1–4	20%	-0.02
nuke	D	5	1–4	20%	-0.00
anubis	—	3	1–2	33%	-0.04
overpass	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

23Matches

39%Win rate

1.13Avg K/D

87.4ADR

44%Headshot %

Clutches & streaks

50%1v1 clutch win

23%1v2 clutch win

2Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	6	17%	0.88	14.2
Ancient	6	67%	1.53	19.3
Overpass	2	0%	0.73	13.5
Train	2	0%	1.00	15.5
Anubis	2	100%	1.24	13.0
Dust2	2	0%	0.62	10.5
Inferno	2	50%	1.46	28.5
Nuke	1	100%	1.58	19.0

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.

18.9%Headshot accuracy

29.8%Accuracy (enemy spotted)

28.3%Spray accuracy

70.3%Counter-strafing

12.4°Preaim

715msReaction time

26.2%T opening success

32.4%CT opening success

0.47Enemies flashed / flash

2.9%Flash assists

8.64HE damage / grenade

3.40Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.4307° — above the 12° 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 715.4179ms — 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 0.4693 — below the 0.5 mark we flag
Grenade Lineups →

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
office	11–13	-0.01	22%	25 Aug →
vertigo	11–13	0.04	19%	25 Aug →
mirage	13–10	0.05	15%	25 Aug →
office	13–10	-0.00	14%	24 Aug →
vertigo	5–13	-0.07	12%	24 Aug →
dust2	6–13	-0.03	14%	24 Aug →
cache	3–13	-0.02	11%	24 Aug →
mirage	2–11	0.00	23%	24 Aug →
inferno	13–6	0.01	29%	24 Aug →
vertigo	12–12	-0.03	24%	24 Aug →
office	13–10	0.04	36%	23 Aug →
vertigo	11–13	-0.02	16%	23 Aug →
inferno	2–13	-0.08	29%	23 Aug →
ancient	2–13	-0.11	13%	22 Aug →
mirage	13–10	-0.02	15%	22 Aug →
vertigo	12–6	-0.08	28%	22 Aug →
overpass	5–4	-0.05	10%	22 Aug →
train	2–13	-0.09	13%	22 Aug →
mirage	13–5	0.00	16%	21 Aug →
vertigo	13–3	0.01	31%	21 Aug →
inferno	13–9	-0.01	26%	26 Jul →
vertigo	4–13	-0.06	13%	26 Jul →
inferno	11–13	-0.00	13%	25 Jul →
nuke	12–12	0.01	18%	25 Jul →
office	12–12	-0.01	23%	25 Jul →
mirage	10–13	0.01	13%	24 Jul →
anubis	6–13	-0.05	13%	24 Jul →
dust2	11–13	-0.06	19%	17 Jul →
ancient	1–13	-0.03	19%	17 Jul →
vertigo	8–13	-0.03	16%	17 Jul →
inferno	8–13	-0.01	14%	17 Jul →
office	13–5	0.03	24%	15 Jul →
inferno	5–8	-0.06	25%	14 Jul →
office	5–13	-0.07	19%	14 Jul →
inferno	5–13	-0.02	6%	12 Jul →
cache	13–6	0.07	27%	12 Jul →
vertigo	8–13	-0.07	11%	12 Jul →
inferno	6–9	-0.09	19%	11 Jul →
inferno	3–13	-0.02	24%	11 Jul →
ancient	5–13	0.02	14%	11 Jul →
mirage	3–13	-0.17	0%	11 Jul →
train	6–13	-0.01	21%	11 Jul →
mirage	10–13	-0.04	18%	11 Jul →
mirage	4–13	-0.06	18%	10 Jul →
dust2	4–13	0.01	24%	10 Jul →
mirage	8–13	0.02	22%	3 Jul →
ancient	11–13	-0.01	17%	1 Jul →
cache	10–13	-0.03	15%	1 Jul →
inferno	4–13	0.04	14%	1 Jul →
train	2–13	0.00	27%	1 Jul →
mirage	4–13	-0.00	11%	1 Jul →
vertigo	10–13	-0.03	19%	1 Jul →
inferno	13–6	0.08	29%	30 Jun →
train	0–13	-0.05	33%	30 Jun →
vertigo	9–13	-0.03	12%	30 Jun →
inferno	10–13	-0.05	17%	30 Jun →
vertigo	13–3	0.02	23%	28 Jun →
mirage	11–13	-0.02	9%	27 Jun →
office	6–13	0.03	20%	27 Jun →
mirage	13–9	0.02	16%	27 Jun →
dust2	13–8	-0.05	7%	27 Jun →
vertigo	13–9	0.04	27%	27 Jun →
vertigo	13–9	0.11	17%	26 Jun →
train	13–7	0.06	14%	26 Jun →
mirage	4–13	-0.01	21%	26 Jun →
ancient	13–6	0.02	20%	26 Jun →
inferno	7–13	0.08	16%	26 Jun →
mirage	13–10	0.09	18%	26 Jun →
mirage	13–6	0.03	20%	26 Jun →
inferno	13–2	0.03	18%	26 Jun →
mirage	7–13	-0.04	17%	22 Jun →
inferno	13–11	0.02	20%	21 Jun →
dust2	13–5	0.11	26%	21 Jun →
ancient	13–11	-0.00	11%	21 Jun →
nuke	12–12	-0.02	18%	21 Jun →
dust2	1–13	-0.07	18%	21 Jun →
dust2	9–13	-0.06	30%	20 Jun →
mirage	13–9	0.13	21%	20 Jun →
office	6–13	0.02	36%	20 Jun →
vertigo	13–9	0.14	26%	20 Jun →
inferno	12–12	0.02	31%	20 Jun →
nuke	13–4	0.04	23%	13 Jun →
cache	3–13	0.06	25%	13 Jun →
cache	6–13	-0.04	11%	12 Jun →
cache	9–13	-0.04	17%	12 Jun →
office	13–8	-0.01	20%	12 Jun →
nuke	8–13	-0.01	15%	10 Jun →
anubis	3–13	-0.06	30%	10 Jun →
dust2	13–5	0.05	24%	10 Jun →
cache	8–13	-0.06	21%	10 Jun →
ancient	13–6	0.00	7%	7 Jun →
anubis	13–8	-0.00	26%	7 Jun →
ancient	13–6	0.04	31%	7 Jun →
dust2	13–10	0.02	23%	7 Jun →
mirage	6–13	-0.02	18%	7 Jun →
nuke	8–13	-0.03	15%	7 Jun →
office	12–12	0.08	25%	7 Jun →
dust2	13–1	0.03	23%	7 Jun →
office	11–13	0.08	24%	6 Jun →
cache	7–13	0.01	8%	6 Jun →