Bloodyy — CS2 Stats

76561198880572298[U:1:920306570]✓ No bans

1,907Tracked matches41%Win rate2020Tracked since

CSDB Rating3.9 Learning

Premier CS Rating15,183Purple band · top ~27.7% of ranked players (population est.)

CSDB Leaderboard#10072 of 15715 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

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Performance scores

Aim49

Positioning42

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY44–49–7Last 10044%Win rateLLLWLWLLWW

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

Player DNA

Aim4.9

Aggression4.6

Utility4.0

Positioning4.2

Opening Duels1.3

Clutch0.0

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 81% playstyle similarity

Most alike: opening-fight frequency, 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. 594ms 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

Aim4.9

Positioning4.2

Utility4.0

Mechanics4.5

Opening Duels1.3

Win Impact1.9

Composite 3.9/10 (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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time599ms−35ms

first ⅓ avg 634ms → last ⅓ avg 599ms

Headshot accuracy13.2%−3.2%

first ⅓ avg 16.4% → 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.

Highlights

0.15Best rating — cache 13–5

13–3Biggest win — ancient

6Longest win streak

L3Current streak

6–2In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 80% over 5dust2Weakest map · 18% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	27	11–16	41%	0.03
ancient	C	18	7–11	39%	0.02
cache	S	16	11–5	69%	0.02
dust2	D	11	2–9	18%	-0.01
anubis	A	11	6–5	55%	0.02
inferno	D	8	2–6	25%	-0.00
nuke	S	5	4–1	80%	-0.01
vertigo	—	3	1–2	33%	0.03
train	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

402Matches

51%Win rate

1.20Avg K/D

79.5ADR

34%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

8Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	3	67%	1.11	15.0
Vertigo	3	33%	0.74	9.7
Mirage	3	100%	0.87	15.7
Inferno	2	50%	0.64	10.0
Overpass	2	50%	0.86	10.0
Ancient	1	0%	1.06	17.0

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.

13.2%Headshot accuracy

32.4%Accuracy (enemy spotted)

32.7%Spray accuracy

70.3%Counter-strafing

9.7°Preaim

594msReaction time

34.8%T opening success

35.8%CT opening success

0.46Enemies flashed / flash

2.1%Flash assists

9.32HE damage / grenade

5.85Flashes / 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 13.1935% — 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 0.4575 — below the 0.5 mark we flag
Grenade Lineups →
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 34.7911% — below the 40% mark we flag

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.

18% win rate across 11 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
mirage	11–13	0.10	16%	26 Aug →
mirage	9–13	0.04	7%	26 Aug →
ancient	8–13	-0.03	15%	25 Aug →
dust2	13–4	0.01	15%	25 Aug →
mirage	9–13	0.02	18%	24 Aug →
mirage	13–5	0.13	20%	24 Aug →
mirage	8–13	0.05	20%	24 Aug →
ancient	10–13	-0.03	10%	23 Aug →
cache	13–8	0.00	18%	23 Aug →
ancient	13–3	0.04	6%	23 Aug →
anubis	10–13	-0.03	14%	23 Aug →
ancient	15–15	-0.02	9%	23 Aug →
cache	5–13	0.04	19%	23 Aug →
mirage	10–13	-0.05	17%	22 Aug →
anubis	8–13	-0.04	6%	22 Aug →
vertigo	13–10	0.01	18%	22 Aug →
dust2	2–13	-0.05	15%	22 Aug →
mirage	4–13	0.12	14%	22 Aug →
ancient	15–15	0.05	9%	21 Aug →
cache	9–13	0.04	11%	20 Aug →
ancient	13–9	0.09	11%	20 Aug →
anubis	13–10	-0.02	11%	20 Aug →
dust2	4–13	-0.09	6%	20 Aug →
mirage	13–9	0.11	14%	20 Aug →
cache	13–5	0.06	22%	19 Aug →
ancient	13–5	0.11	19%	19 Aug →
inferno	15–15	0.00	10%	19 Aug →
mirage	13–8	0.03	16%	19 Aug →
anubis	3–13	0.02	9%	19 Aug →
dust2	9–13	-0.05	7%	18 Aug →
mirage	3–13	-0.08	20%	18 Aug →
cache	13–7	-0.03	5%	18 Aug →
ancient	15–15	0.02	10%	18 Aug →
mirage	9–13	0.04	14%	18 Aug →
cache	16–13	0.05	17%	18 Aug →
dust2	7–13	0.01	8%	18 Aug →
mirage	13–7	0.03	5%	18 Aug →
dust2	5–13	0.00	12%	18 Aug →
mirage	8–13	0.04	18%	18 Aug →
mirage	13–8	-0.02	22%	18 Aug →
cache	9–13	-0.04	6%	17 Aug →
cache	13–10	0.02	15%	16 Aug →
inferno	3–13	-0.05	19%	16 Aug →
dust2	9–13	-0.01	13%	15 Aug →
cache	13–7	0.06	11%	15 Aug →
dust2	15–15	0.02	21%	15 Aug →
dust2	3–13	-0.08	19%	14 Aug →
mirage	13–11	0.03	18%	14 Aug →
ancient	13–8	0.04	12%	14 Aug →
nuke	13–11	-0.01	8%	14 Aug →
ancient	13–3	0.02	14%	13 Aug →
inferno	13–9	-0.01	9%	13 Aug →
mirage	13–6	0.09	5%	13 Aug →
vertigo	12–12	-0.03	23%	13 Aug →
train	7–13	-0.08	16%	13 Aug →
inferno	10–13	-0.01	17%	12 Aug →
ancient	7–13	0.00	23%	12 Aug →
nuke	13–8	0.06	16%	11 Aug →
anubis	13–6	0.10	12%	11 Aug →
anubis	13–6	0.04	17%	11 Aug →
cache	13–11	0.07	24%	11 Aug →
cache	7–13	-0.03	18%	11 Aug →
ancient	8–13	-0.02	11%	11 Aug →
inferno	2–7	-0.01	17%	11 Aug →
mirage	1–8	-0.02	11%	11 Aug →
cache	3–13	-0.02	9%	11 Aug →
anubis	13–4	0.05	12%	11 Aug →
mirage	7–13	-0.01	19%	11 Aug →
ancient	10–13	0.04	13%	11 Aug →
mirage	13–10	0.01	18%	11 Aug →
anubis	0–13	-0.04	9%	11 Aug →
mirage	4–13	0.02	10%	10 Aug →
nuke	7–3	-0.01	11%	10 Aug →
anubis	16–14	0.07	11%	10 Aug →
mirage	10–13	0.02	14%	10 Aug →
ancient	10–13	-0.02	13%	9 Aug →
mirage	9–13	0.02	19%	9 Aug →
inferno	13–9	0.02	18%	9 Aug →
mirage	13–5	-0.00	32%	9 Aug →
mirage	13–6	0.09	14%	6 Aug →
inferno	5–11	0.03	27%	6 Aug →
vertigo	9–13	0.10	18%	6 Aug →
dust2	15–15	0.07	21%	6 Aug →
anubis	13–5	0.07	6%	6 Aug →
dust2	13–7	0.08	17%	6 Aug →
mirage	10–13	0.02	14%	5 Aug →
cache	13–8	-0.04	29%	5 Aug →
mirage	13–9	0.05	16%	5 Aug →
ancient	13–9	0.04	21%	5 Aug →
nuke	3–9	-0.06	23%	5 Aug →
cache	13–9	-0.01	15%	5 Aug →
inferno	9–13	-0.00	17%	4 Aug →
ancient	13–11	0.01	17%	4 Aug →
nuke	13–5	-0.05	6%	4 Aug →
mirage	8–13	0.02	21%	4 Aug →
cache	13–5	0.15	22%	4 Aug →
ancient	9–13	-0.04	19%	4 Aug →
cache	16–14	-0.02	11%	4 Aug →
anubis	9–13	0.04	9%	3 Aug →
ancient	11–13	0.04	14%	3 Aug →