boogloog — CS2 Stats

76561198093336788[U:1:133071060]

438Tracked matches57%Win rate2020Tracked since

CSDB Rating5.2 Developing

Premier CS Rating14,441Blue band · top ~31.4% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning54

Utility41

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWLWWLWLWWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Aim5.9

Aggression7.5

Utility4.1

Positioning5.4

Opening Duels2.7

Clutch4.2

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 ropz 84% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 618ms 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

Aim5.9

Positioning5.4

Utility4.1

Mechanics6.5

Opening Duels2.7

Win Impact7.2

Composite 5.2/10 (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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time621ms−88ms

first ⅓ avg 709ms → last ⅓ avg 621ms

Headshot accuracy16.7%−2.9%

first ⅓ avg 19.6% → last ⅓ avg 16.7%

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

0.11Best rating — mirage 13–2

13–2Biggest win — dust2

5Longest win streak

5–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

cacheBest map · 71% over 17anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	31	15–16	48%	-0.01
cache	S	17	12–5	71%	0.01
ancient	B	16	8–8	50%	-0.01
anubis	D	9	2–7	22%	-0.03
nuke	A	9	5–4	56%	-0.02
inferno	D	9	3–6	33%	-0.01
mirage	A	9	5–4	56%	0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

61Matches

44%Win rate

0.86Avg K/D

67.7ADR

45%Headshot %

Clutches & streaks

41%1v1 clutch win

6%1v2 clutch win

5Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	12	50%	0.73	12.2
Dust2	11	27%	0.82	13.4
Inferno	9	33%	0.62	12.6
Overpass	9	67%	1.10	14.6
Ancient	8	75%	1.00	13.1
Nuke	7	29%	0.96	14.3
Anubis	4	25%	0.90	14.5
Cache	1	0%	0.72	13.0

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.

16.9%Headshot accuracy

33.5%Accuracy (enemy spotted)

32.1%Spray accuracy

79.3%Counter-strafing

10.1°Preaim

618msReaction time

30.6%T opening success

51.3%CT opening success

0.65Enemies flashed / flash

3.7%Flash assists

8.60HE damage / grenade

3.74Flashes / 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.

Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.7394 — below the 4 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 30.5604% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–11	-0.01	13%	28 Aug →
anubis	7–13	-0.00	23%	28 Aug →
ancient	13–4	0.06	23%	27 Aug →
cache	16–12	0.01	21%	26 Aug →
nuke	8–13	-0.05	41%	26 Aug →
nuke	13–10	-0.02	20%	24 Aug →
anubis	1–13	-0.09	15%	24 Aug →
inferno	13–10	0.01	17%	24 Aug →
cache	13–10	-0.02	18%	21 Aug →
mirage	10–13	-0.03	15%	21 Aug →
dust2	13–6	0.02	20%	21 Aug →
mirage	13–8	-0.05	22%	20 Aug →
ancient	13–16	-0.05	4%	19 Aug →
dust2	10–13	-0.07	13%	19 Aug →
dust2	13–10	0.01	21%	18 Aug →
ancient	13–7	0.01	12%	18 Aug →
anubis	4–13	-0.09	14%	16 Aug →
dust2	9–13	-0.03	18%	16 Aug →
anubis	16–12	0.04	16%	16 Aug →
dust2	5–13	-0.04	17%	14 Aug →
cache	13–10	0.01	11%	14 Aug →
dust2	14–16	-0.03	26%	13 Aug →
dust2	13–5	0.04	25%	13 Aug →
dust2	13–2	-0.02	3%	13 Aug →
mirage	16–12	0.04	7%	12 Aug →
nuke	16–12	-0.01	18%	11 Aug →
ancient	8–13	0.01	6%	11 Aug →
cache	13–9	0.02	18%	10 Aug →
nuke	9–13	-0.02	17%	10 Aug →
inferno	4–13	0.03	13%	10 Aug →
dust2	10–13	-0.04	9%	10 Aug →
ancient	13–11	0.01	18%	7 Aug →
dust2	13–11	0.02	18%	7 Aug →
inferno	13–7	0.04	16%	7 Aug →
mirage	13–3	0.01	32%	7 Aug →
dust2	9–13	-0.01	10%	7 Aug →
cache	13–7	0.04	22%	6 Aug →
nuke	9–13	-0.05	9%	5 Aug →
ancient	13–9	0.07	12%	3 Aug →
cache	7–13	-0.03	18%	3 Aug →
inferno	13–8	-0.02	5%	2 Aug →
dust2	13–6	0.01	21%	2 Aug →
dust2	13–2	0.01	25%	2 Aug →
nuke	13–7	0.00	16%	2 Aug →
nuke	13–9	-0.01	13%	31 Jul →
cache	14–16	0.04	14%	31 Jul →
dust2	13–8	0.00	43%	31 Jul →
ancient	13–10	0.02	15%	30 Jul →
mirage	8–13	0.02	12%	30 Jul →
inferno	11–13	-0.01	23%	30 Jul →
ancient	5–13	-0.01	14%	30 Jul →
dust2	11–13	0.02	17%	29 Jul →
anubis	15–15	-0.06	9%	29 Jul →
inferno	11–13	-0.01	11%	28 Jul →
dust2	10–13	0.01	31%	28 Jul →
dust2	15–15	0.01	15%	27 Jul →
dust2	6–13	-0.02	18%	27 Jul →
cache	13–7	-0.03	26%	26 Jul →
dust2	13–16	-0.05	14%	26 Jul →
dust2	5–13	-0.09	22%	26 Jul →
dust2	13–3	0.01	24%	26 Jul →
ancient	13–8	-0.02	12%	26 Jul →
ancient	13–7	-0.01	16%	26 Jul →
dust2	13–5	0.03	21%	24 Jul →
ancient	10–13	-0.10	8%	24 Jul →
anubis	7–13	0.02	26%	24 Jul →
mirage	9–13	-0.00	13%	24 Jul →
cache	13–9	-0.02	8%	23 Jul →
mirage	16–14	-0.04	16%	20 Jul →
mirage	13–2	0.11	31%	20 Jul →
dust2	13–5	0.09	41%	20 Jul →
anubis	4–13	-0.06	17%	19 Jul →
cache	13–7	0.01	20%	19 Jul →
nuke	6–13	0.01	27%	17 Jul →
dust2	13–2	0.02	8%	17 Jul →
anubis	13–9	0.01	21%	17 Jul →
nuke	13–6	0.02	23%	17 Jul →
ancient	1–13	-0.09	10%	16 Jul →
cache	15–15	-0.03	20%	16 Jul →
dust2	5–13	-0.07	17%	15 Jul →
cache	13–11	0.08	26%	15 Jul →
inferno	7–13	-0.05	13%	15 Jul →
cache	8–13	-0.04	17%	14 Jul →
dust2	9–13	-0.05	10%	14 Jul →
inferno	9–13	-0.06	8%	14 Jul →
cache	2–13	-0.03	21%	14 Jul →
mirage	7–13	0.01	10%	14 Jul →
dust2	8–13	-0.03	16%	13 Jul →
ancient	7–13	0.06	25%	13 Jul →
dust2	13–6	0.00	16%	13 Jul →
anubis	7–13	-0.03	24%	13 Jul →
ancient	9–13	-0.11	14%	13 Jul →
dust2	10–13	0.00	21%	13 Jul →
cache	7–0	0.09	21%	13 Jul →
inferno	7–13	-0.06	17%	13 Jul →
dust2	13–4	0.00	19%	12 Jul →
cache	13–10	-0.04	35%	12 Jul →
ancient	13–7	-0.02	19%	9 Jul →
cache	13–7	0.05	44%	9 Jul →
ancient	8–13	-0.02	16%	9 Jul →