Roobbaatt — CS2 Stats

DE76561198174513253[U:1:214247525]Steam profile ↗✓ No bans

1,297Tracked matches62%Win rate2024Tracked since

CSDB Rating4.0 Developing

Premier CS Rating14,303Blue band · top ~32.1% of ranked players (population est.)

CSDB Leaderboard#37283 of 59812 tracked

FaceitLevel 3 · 745 ELOTop 90.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim31

Positioning54

Utility41

0–100 skill scores via Leetify.

Recent form

HOT49–44–7Last 10049%Win rateLWLWWLWWWW

Last 10 vs previous 10: +20pp win rate · -0.01 avg rating

Player DNA

Aim3.1

Aggression6.9

Utility4.1

Positioning5.4

Opening Duels3.6

Clutch2.6

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 82% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: 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 54% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 636ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.1

Positioning5.4

Utility4.1

Mechanics1.9

Opening Duels3.6

Win Impact9.0

Composite 4.0/10 (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-0.02−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time637ms−23ms

first ⅓ avg 660ms → last ⅓ avg 637ms

Headshot accuracy11.2%−1.4%

first ⅓ avg 12.6% → last ⅓ avg 11.2%

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

0.16Best rating — dust2 13–3

13–1Biggest win — dust2

6Longest win streak

3–8In matches decided by ≤2 rounds

12Overtime games

Map breakdown

cacheBest map · 71% over 14infernoWeakest map · 21% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	24	13–11	54%	-0.02
ancient	C	17	7–10	41%	-0.03
inferno	D	14	3–11	21%	-0.02
nuke	A	14	8–6	57%	-0.02
cache	S	14	10–4	71%	-0.01
dust2	A	9	5–4	56%	0.01
anubis	D	6	2–4	33%	-0.03
vertigo	—	1	1–0	100%	0.03
overpass	—	1	0–1	0%	-0.05

Across the last 100 tracked matches.

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

Faceit stats

Combat

91Matches

52%Win rate

0.92Avg K/D

67.7ADR

37%Headshot %

Clutches & streaks

33%1v1 clutch win

13%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	16	50%	0.99	15.9
Nuke	13	46%	0.85	12.5
Ancient	13	62%	1.11	14.2
Cache	13	62%	1.06	14.5
Mirage	11	27%	0.71	10.6
Dust2	10	30%	0.66	10.2
Overpass	6	83%	1.02	11.8
Train	5	60%	0.74	10.6

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

33.2%Accuracy (enemy spotted)

37.7%Spray accuracy

58.6%Counter-strafing

11.8°Preaim

636msReaction time

35.1%T opening success

53.6%CT opening success

0.40Enemies flashed / flash

4.0%Flash assists

6.23HE damage / grenade

9.48Flashes / 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 10.6034% — 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 0.4043 — 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 35.0897% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	26–28	-0.01	6%	29 Aug →
vertigo	13–8	0.03	15%	23 Aug →
ancient	6–13	-0.09	6%	23 Aug →
anubis	13–9	-0.04	9%	22 Aug →
nuke	13–9	-0.03	10%	22 Aug →
inferno	10–13	-0.03	9%	21 Aug →
nuke	13–6	-0.03	11%	21 Aug →
ancient	13–7	-0.03	16%	21 Aug →
mirage	13–11	-0.03	8%	20 Aug →
inferno	16–12	0.01	4%	17 Aug →
cache	13–9	-0.00	15%	16 Aug →
ancient	13–9	0.03	9%	16 Aug →
nuke	5–13	0.05	13%	16 Aug →
nuke	13–9	-0.03	8%	16 Aug →
mirage	13–8	-0.03	3%	16 Aug →
dust2	3–13	-0.02	7%	16 Aug →
mirage	13–9	-0.05	9%	16 Aug →
dust2	6–13	-0.02	19%	15 Aug →
nuke	11–13	-0.03	13%	15 Aug →
inferno	11–13	-0.03	13%	13 Aug →
nuke	13–4	0.01	11%	13 Aug →
nuke	13–9	0.03	5%	12 Aug →
ancient	12–16	-0.00	12%	9 Aug →
mirage	15–15	-0.02	17%	9 Aug →
anubis	8–13	0.01	8%	9 Aug →
mirage	4–13	-0.02	18%	9 Aug →
nuke	13–7	-0.03	8%	8 Aug →
mirage	13–5	-0.02	16%	8 Aug →
cache	13–7	-0.06	13%	8 Aug →
dust2	13–1	0.02	20%	8 Aug →
inferno	11–13	-0.04	15%	7 Aug →
cache	13–6	-0.04	13%	7 Aug →
anubis	1–13	-0.06	13%	7 Aug →
nuke	13–3	-0.02	7%	7 Aug →
ancient	11–13	-0.07	17%	6 Aug →
mirage	13–7	-0.08	15%	6 Aug →
inferno	12–12	-0.02	17%	5 Aug →
mirage	10–13	-0.04	8%	5 Aug →
dust2	13–8	0.02	21%	5 Aug →
cache	6–13	-0.01	25%	2 Aug →
nuke	15–15	-0.04	12%	2 Aug →
inferno	6–13	-0.02	13%	2 Aug →
mirage	6–13	-0.06	21%	2 Aug →
cache	13–4	0.02	15%	2 Aug →
ancient	3–13	-0.03	15%	2 Aug →
inferno	15–15	-0.04	10%	31 Jul →
ancient	3–13	-0.04	21%	31 Jul →
mirage	10–13	-0.06	17%	31 Jul →
nuke	2–13	-0.03	23%	31 Jul →
mirage	15–15	-0.04	12%	30 Jul →
ancient	13–4	0.04	12%	30 Jul →
dust2	16–14	0.04	20%	30 Jul →
mirage	13–7	0.01	7%	29 Jul →
ancient	12–12	-0.02	12%	29 Jul →
dust2	13–8	-0.02	10%	27 Jul →
inferno	5–13	-0.00	12%	27 Jul →
cache	8–13	-0.04	15%	26 Jul →
mirage	13–10	-0.01	13%	24 Jul →
cache	13–8	-0.02	16%	24 Jul →
cache	13–6	0.02	26%	24 Jul →
mirage	15–15	0.02	28%	23 Jul →
nuke	8–13	-0.01	10%	23 Jul →
inferno	4–13	-0.12	0%	23 Jul →
mirage	13–8	-0.03	2%	22 Jul →
inferno	10–13	-0.04	19%	22 Jul →
ancient	8–13	-0.01	9%	22 Jul →
dust2	8–13	0.01	24%	21 Jul →
ancient	13–3	-0.08	14%	21 Jul →
mirage	3–13	-0.03	19%	21 Jul →
mirage	6–13	-0.07	9%	20 Jul →
mirage	13–3	0.01	21%	20 Jul →
inferno	13–5	0.04	16%	20 Jul →
overpass	11–13	-0.05	2%	14 Jul →
mirage	13–7	-0.03	5%	14 Jul →
cache	16–12	-0.02	13%	14 Jul →
mirage	13–3	-0.02	3%	13 Jul →
ancient	7–13	-0.03	16%	12 Jul →
dust2	2–13	-0.12	14%	12 Jul →
cache	13–9	0.00	18%	12 Jul →
inferno	13–10	0.02	16%	12 Jul →
nuke	13–4	0.06	15%	11 Jul →
cache	13–10	0.06	9%	11 Jul →
ancient	13–8	-0.07	10%	11 Jul →
mirage	13–16	-0.05	13%	11 Jul →
mirage	11–2	0.05	11%	11 Jul →
mirage	10–13	-0.04	5%	9 Jul →
mirage	13–4	0.09	15%	8 Jul →
inferno	10–13	-0.04	12%	6 Jul →
ancient	13–11	0.03	14%	6 Jul →
dust2	13–3	0.16	15%	6 Jul →
anubis	11–13	-0.03	6%	6 Jul →
cache	13–7	0.06	26%	5 Jul →
ancient	13–9	0.03	11%	5 Jul →
ancient	7–13	-0.03	12%	5 Jul →
anubis	10–13	-0.05	10%	5 Jul →
anubis	13–10	-0.03	11%	5 Jul →
cache	14–16	-0.01	13%	5 Jul →
nuke	1–9	-0.17	14%	4 Jul →
ancient	8–13	-0.05	22%	4 Jul →
cache	7–13	-0.07	8%	4 Jul →