broop — CS2 Stats

76561197960956409[U:1:690681]Steam profile ↗✓ No bans

890Tracked matches52%Win rate2020Tracked since

CSDB Rating3.7 Learning

FaceitLevel 2 · 697 ELOTop 97.9% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim37

Positioning48

Utility23

0–100 skill scores via Leetify.

Recent form

STEADY40–55–5Last 10040%Win rateLWWWWLWWLL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Aim3.7

Aggression5.6

Utility2.3

Positioning4.8

Opening Duels1.3

Clutch3.2

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 NiKo 75% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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. 686ms 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

Aim3.7

Positioning4.8

Utility2.3

Mechanics6.4

Opening Duels1.6

Win Impact5.6

Composite 3.7/10 (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-0.03−0.01

first ⅓ avg -0.02 → last ⅓ avg -0.03

Reaction time682ms+19ms

first ⅓ avg 664ms → last ⅓ avg 682ms

Headshot accuracy16.7%−2.3%

first ⅓ avg 18.9% → 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

0.08Best rating — inferno 13–2

13–2Biggest win — cache

5Longest win streak

6–3In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 75% over 8mirageWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	17	5–12	29%	-0.04
mirage	D	14	3–11	21%	-0.02
inferno	B	14	7–7	50%	-0.02
ancient	B	13	7–6	54%	-0.04
nuke	C	9	4–5	44%	-0.01
cache	S	8	6–2	75%	0.01
warden	D	8	2–6	25%	-0.02
anubis	D	7	2–5	29%	-0.03
overpass	A	5	3–2	60%	-0.01
office	—	2	1–1	50%	-0.04
alpine	—	2	0–2	0%	0.00
stronghold	—	1	0–1	0%	-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

109Matches

44%Win rate

0.84Avg K/D

66.8ADR

39%Headshot %

Clutches & streaks

36%1v1 clutch win

16%1v2 clutch win

3Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	17	41%	0.83	13.9
Anubis	15	47%	0.82	13.9
Dust2	11	73%	0.96	14.6
Inferno	11	55%	0.91	15.0
Overpass	9	56%	0.80	13.2
Nuke	8	12%	0.75	11.0
Ancient	4	75%	1.12	13.3
Train	3	33%	0.46	8.0

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

28.2%Accuracy (enemy spotted)

30.9%Spray accuracy

78.7%Counter-strafing

11.7°Preaim

686msReaction time

27.9%T opening success

42.6%CT opening success

0.38Enemies flashed / flash

4.4%Flash assists

6.61HE damage / grenade

1.34Flashes / 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
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3826 — 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 27.9096% — below the 40% mark we flag

Spend your practice time on Mirage

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

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	2–12	-0.01	4%	28 Aug →
cache	13–3	0.06	13%	28 Aug →
dust2	13–7	-0.05	16%	28 Aug →
mirage	13–10	0.01	20%	28 Aug →
nuke	13–11	-0.01	13%	13 Jul →
dust2	10–13	-0.08	11%	12 Jul →
ancient	13–8	-0.04	21%	12 Jul →
cache	16–13	0.02	21%	11 Jul →
dust2	8–13	-0.04	18%	11 Jul →
inferno	5–13	-0.09	11%	11 Jul →
dust2	3–13	-0.04	24%	11 Jul →
anubis	1–13	-0.06	27%	11 Jul →
mirage	9–13	-0.01	16%	9 Jul →
dust2	8–13	-0.07	17%	9 Jul →
cache	13–11	0.05	20%	9 Jul →
cache	13–2	0.04	13%	9 Jul →
nuke	12–16	-0.06	10%	9 Jul →
ancient	13–10	-0.08	19%	2 Jul →
dust2	3–13	-0.08	23%	2 Jul →
nuke	12–16	-0.02	11%	2 Jul →
mirage	10–13	-0.05	8%	2 Jul →
dust2	6–13	-0.05	28%	27 Jun →
overpass	13–8	-0.04	20%	27 Jun →
nuke	15–15	-0.01	7%	27 Jun →
inferno	13–9	-0.03	7%	27 Jun →
anubis	13–8	-0.05	13%	27 Jun →
office	13–10	-0.08	36%	13 Jun →
cache	4–13	-0.02	33%	13 Jun →
warden	13–5	-0.06	14%	13 Jun →
dust2	13–10	-0.02	22%	9 Jun →
overpass	13–4	-0.02	14%	9 Jun →
mirage	9–13	0.00	11%	9 Jun →
overpass	13–8	0.05	8%	9 Jun →
ancient	4–13	-0.03	19%	9 Jun →
inferno	13–2	0.08	18%	9 Jun →
dust2	13–10	-0.03	20%	9 Jun →
dust2	10–13	-0.01	44%	9 Jun →
ancient	16–14	-0.05	15%	7 Jun →
ancient	10–13	-0.09	13%	30 May →
inferno	13–10	-0.00	16%	30 May →
overpass	9–13	-0.05	21%	29 May →
nuke	16–14	-0.02	20%	29 May →
inferno	10–13	-0.01	12%	29 May →
mirage	6–13	-0.02	16%	23 May →
mirage	13–9	0.03	22%	23 May →
inferno	13–11	0.03	6%	23 May →
inferno	13–3	0.01	7%	23 May →
dust2	6–13	0.06	9%	23 May →
warden	10–13	0.01	32%	23 May →
overpass	2–13	-0.01	21%	16 May →
inferno	4–13	-0.09	12%	16 May →
inferno	4–9	-0.11	14%	16 May →
mirage	3–13	-0.09	38%	16 May →
anubis	11–13	0.01	18%	16 May →
warden	12–12	0.01	10%	30 Apr →
nuke	8–13	-0.01	17%	30 Apr →
cache	13–9	-0.01	9%	30 Apr →
cache	13–4	-0.05	17%	30 Apr →
cache	5–13	-0.04	17%	30 Apr →
nuke	6–13	-0.07	20%	28 Apr →
ancient	5–13	-0.00	21%	21 Apr →
mirage	8–13	-0.03	13%	21 Apr →
dust2	11–13	-0.06	14%	21 Apr →
nuke	13–8	0.01	10%	21 Apr →
mirage	13–5	0.04	19%	21 Apr →
warden	5–13	-0.02	13%	18 Apr →
inferno	15–15	-0.03	15%	18 Apr →
ancient	6–13	-0.04	22%	18 Apr →
ancient	13–7	-0.01	12%	18 Apr →
nuke	13–3	0.06	9%	18 Apr →
ancient	13–11	-0.04	17%	16 Apr →
dust2	13–9	-0.00	11%	16 Apr →
ancient	13–5	0.03	22%	16 Apr →
mirage	0–6	-0.00	20%	16 Apr →
dust2	8–13	-0.06	23%	1 Apr →
warden	8–13	-0.04	18%	1 Apr →
inferno	7–13	-0.06	16%	1 Apr →
ancient	7–13	-0.06	27%	1 Apr →
stronghold	11–13	-0.04	33%	8 Mar →
warden	10–13	-0.02	18%	8 Mar →
dust2	13–6	-0.01	5%	8 Mar →
ancient	8–13	-0.03	25%	8 Mar →
anubis	7–13	-0.04	16%	7 Mar →
inferno	13–7	-0.04	17%	7 Mar →
warden	13–9	-0.10	23%	7 Mar →
anubis	6–13	0.01	11%	7 Mar →
mirage	4–13	-0.05	16%	7 Mar →
alpine	9–13	-0.04	25%	27 Feb →
mirage	4–13	-0.04	28%	27 Feb →
warden	12–12	0.05	7%	21 Feb →
office	5–13	0.00	21%	21 Feb →
alpine	7–13	0.04	22%	21 Feb →
inferno	7–13	-0.01	17%	21 Feb →
anubis	13–8	-0.04	25%	21 Feb →
mirage	12–12	-0.07	26%	16 Feb →
mirage	9–13	-0.06	18%	16 Feb →
dust2	4–13	-0.03	26%	14 Feb →
anubis	3–13	-0.05	24%	14 Feb →
ancient	13–10	-0.04	17%	14 Feb →
inferno	13–9	0.03	11%	14 Feb →