O-Block Too Roye — CS2 Stats

76561199067972404[U:1:1107706676]

365Tracked matches69%Win rate2020Tracked since

876Hours in CS3Hrs last 2 wks

CSDB Rating6.2 SolidAggressive Rifler

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning65

Utility2

0–100 skill scores via Leetify.

Recent form

HOT56–40–4Last 10056%Win rateLWWWWWWWWW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.5

Aggression7.6

Utility0.2

Positioning6.5

Opening Duels3.5

Clutch2.6

Limited utility dependence

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; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.5

Positioning6.5

Utility0.2

Mechanics8.2

Opening Duels3.5

Win Impact10.0

Composite 6.2/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time584ms−26ms

first ⅓ avg 610ms → last ⅓ avg 584ms

Headshot accuracy26.2%+2.8%

first ⅓ avg 23.3% → last ⅓ avg 26.2%

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

0.28Best rating — mirage 3–2

13–1Biggest win — dust2

11Longest win streak

8–7In matches decided by ≤2 rounds

2Overtime games

Map breakdown

mirageBest map · 68% over 19infernoWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	33	21–12	64%	0.01
mirage	S	19	13–6	68%	0.05
nuke	C	14	6–8	43%	0.00
vertigo	A	10	6–4	60%	0.00
cache	B	10	5–5	50%	0.03
inferno	D	6	2–4	33%	-0.01
ancient	—	3	1–2	33%	-0.05
train	—	2	1–1	50%	-0.02
anubis	—	2	1–1	50%	0.00
overpass	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,360Lifetime kills

0.80K/D

1,711Matches

27.9%Match win rate

69.4%Headshot % · Top 5% of tracked players

6.5%Shot accuracy

1,966MVPs

1,053Hours (in match)

378Bombs planted

209Bombs defused

Most-used weapons

AK-479,285

Desert Eagle2,820

M4A4 / M4A1-S2,674

P2000 / USP-S1,340

AWP962

SSG 08790

Glock-18599

Galil AR596

Knife408

FAMAS230

Lifetime map wins

2,270dust2

932nuke

840inferno

809vertigo

177train

38safehouse

33office

31cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

33Matches

48%Win rate

0.76Avg K/D

66.3ADR

63%Headshot %

Clutches & streaks

33%1v1 clutch win

17%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	11	64%	0.92	12.7
Mirage	7	43%	0.80	13.7
Inferno	4	50%	0.66	11.0
Anubis	3	33%	0.71	15.0
Nuke	3	33%	0.60	10.3
Overpass	1	100%	0.94	15.0
Vertigo	1	0%	0.35	7.0
Train	1	100%	0.81	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.

24.3%Headshot accuracy

31.5%Accuracy (enemy spotted)

29.9%Spray accuracy

86.8%Counter-strafing

8.5°Preaim

594msReaction time

42.6%T opening success

45.6%CT opening success

0.00Enemies flashed / flash

0.0%Flash assists

3.77HE damage / grenade

0.07Flashes / 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 — below the 0.5 mark we flag
Grenade Lineups →

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.

33% win rate across 6 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	9–13	0.00	28%	24 Aug →
mirage	13–5	0.02	25%	19 Aug →
dust2	13–3	0.12	26%	19 Aug →
vertigo	13–3	0.07	16%	3 Aug →
dust2	13–4	0.02	28%	27 Jul →
dust2	13–5	-0.02	27%	25 Jul →
mirage	8–2	-0.01	11%	25 Jul →
dust2	13–5	-0.02	34%	12 Jul →
mirage	13–5	0.03	18%	12 Jul →
vertigo	2–2	-0.09	20%	12 Jul →
cache	13–4	-0.02	24%	12 Jul →
dust2	13–11	0.01	39%	12 Jul →
vertigo	6–13	-0.05	32%	11 Jul →
cache	13–5	0.01	16%	11 Jul →
nuke	7–13	0.01	29%	11 Jul →
ancient	6–13	-0.07	25%	11 Jul →
nuke	13–6	-0.02	41%	11 Jul →
dust2	12–3	0.03	28%	11 Jul →
mirage	9–13	-0.01	18%	11 Jul →
mirage	13–7	-0.05	15%	9 Jul →
dust2	10–13	0.01	22%	9 Jul →
vertigo	12–12	-0.06	21%	8 Jul →
mirage	13–2	-0.02	19%	8 Jul →
nuke	13–10	0.08	48%	8 Jul →
dust2	13–1	-0.07	33%	8 Jul →
mirage	13–8	-0.00	22%	8 Jul →
nuke	8–13	-0.08	10%	28 Jun →
dust2	3–13	-0.04	11%	17 Jun →
dust2	13–7	0.03	22%	17 Jun →
nuke	3–8	0.09	20%	16 Jun →
dust2	12–12	0.06	23%	16 Jun →
mirage	8–1	0.09	17%	14 Jun →
mirage	2–0	0.23	100%	14 Jun →
dust2	13–8	0.06	16%	14 Jun →
vertigo	13–5	0.01	18%	14 Jun →
inferno	7–13	-0.07	10%	14 Jun →
dust2	16–14	-0.04	21%	11 Jun →
dust2	6–13	-0.04	22%	11 Jun →
nuke	13–10	-0.08	30%	9 Jun →
dust2	5–13	-0.02	26%	5 Jun →
dust2	4–13	0.00	17%	29 May →
cache	8–13	0.08	27%	29 May →
train	9–13	-0.08	14%	29 May →
nuke	8–13	0.05	23%	29 May →
dust2	13–8	0.08	22%	25 May →
cache	12–12	0.03	25%	24 May →
mirage	13–6	0.06	23%	24 May →
cache	3–13	0.02	30%	21 May →
dust2	10–8	-0.01	23%	10 May →
cache	13–1	0.10	29%	10 May →
cache	10–13	-0.05	18%	6 May →
cache	13–7	-0.02	19%	30 Apr →
cache	13–9	0.09	33%	29 Apr →
cache	7–13	0.01	24%	29 Apr →
mirage	13–2	-0.03	13%	26 Apr →
nuke	13–3	0.09	23%	26 Apr →
inferno	13–7	-0.01	21%	22 Apr →
mirage	11–13	0.01	23%	22 Apr →
dust2	13–7	-0.03	27%	22 Apr →
overpass	4–13	-0.10	30%	22 Apr →
train	13–6	0.04	18%	22 Apr →
anubis	13–8	0.02	33%	21 Apr →
vertigo	13–5	0.09	20%	21 Apr →
dust2	13–4	0.02	32%	21 Apr →
vertigo	7–13	-0.00	28%	20 Apr →
mirage	3–2	0.28	22%	20 Apr →
dust2	13–11	0.02	15%	20 Apr →
dust2	7–13	-0.01	27%	19 Apr →
dust2	13–6	0.08	21%	19 Apr →
nuke	13–5	-0.03	29%	15 Apr →
dust2	9–13	0.09	33%	15 Apr →
mirage	7–13	0.10	26%	14 Apr →
vertigo	1–13	-0.04	21%	14 Apr →
dust2	3–13	0.00	21%	14 Apr →
nuke	9–13	-0.01	27%	14 Apr →
dust2	13–9	0.04	22%	13 Apr →
nuke	13–8	0.10	22%	12 Apr →
mirage	13–4	0.04	22%	11 Apr →
dust2	13–6	0.06	32%	10 Apr →
vertigo	13–7	0.09	17%	10 Apr →
dust2	13–10	-0.07	27%	9 Apr →
dust2	16–14	-0.04	22%	9 Apr →
nuke	7–9	-0.18	10%	9 Apr →
dust2	10–13	0.04	28%	9 Apr →
mirage	4–13	0.08	15%	9 Apr →
vertigo	13–11	0.01	22%	9 Apr →
mirage	13–3	-0.02	19%	7 Apr →
dust2	13–1	0.07	32%	7 Apr →
inferno	8–13	-0.02	19%	7 Apr →
nuke	12–11	0.01	18%	7 Apr →
mirage	8–8	0.09	26%	7 Apr →
dust2	12–12	-0.03	33%	7 Apr →
nuke	8–13	-0.00	18%	6 Apr →
mirage	9–13	0.00	13%	6 Apr →
inferno	8–10	0.03	25%	5 Apr →
dust2	13–10	0.09	40%	5 Apr →
inferno	13–10	-0.01	16%	24 Mar →
ancient	13–7	-0.04	23%	24 Mar →
anubis	1–13	-0.02	21%	24 Mar →
ancient	12–12	-0.04	22%	23 Mar →