roope8d — CS2 Stats

FI76561198879607480[U:1:919341752]Steam profile ↗1 game ban

5,461Tracked matches50%Win rate2020Tracked since

5,283Hours in CS

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating24,020Top 50% of 819 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)

CSDB Leaderboard#2983 of 13708 tracked

FaceitLevel 10 · 2,240 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	50.2%	52.8%
Shot accuracy	14.1%	13.7%
Kill/death ratio	1.63	1.08
Match win rate	49.7%	49.2%

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Performance scores

Aim85

Positioning58

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWWLLLWWLL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

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

Aim8.5

Aggression9.0

Utility5.9

Positioning5.8

Opening Duels4.2

Clutch3.4

Sharp aimerStrong CT-side opener

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 device 94% playstyle similarity

Most alike: opening-duel success, positioning 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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 60% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 565ms 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

Aim8.5

Positioning5.8

Utility5.9

Mechanics7.0

Opening Duels4.2

Win Impact5.0

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.03

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time573ms−64ms

first ⅓ avg 637ms → last ⅓ avg 573ms

Headshot accuracy28.0%+0.3%

first ⅓ avg 27.7% → last ⅓ avg 28.0%

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

0.19Best rating — anubis 13–3

13–3Biggest win — inferno

4Longest win streak

W3Current streak

10–5In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 60% over 15infernoWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	18	8–10	44%	0.02
ancient	B	17	9–8	53%	0.01
nuke	A	15	9–6	60%	0.03
anubis	B	12	6–6	50%	0.05
inferno	D	12	4–8	33%	0.03
cache	A	11	6–5	55%	0.02
dust2	C	10	4–6	40%	0.06
vertigo	—	3	2–1	67%	0.01
train	—	1	1–0	100%	0.01
poseidon	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

391,775Lifetime kills

1.63K/D · Top 5% of Level 10 players

11,689Matches

49.7%Match win rate · Top 50% of Level 10 players

50.2%Headshot %

14.1%Shot accuracy · Top 50% of Level 10 players

42,262MVPs

5,283Hours (in match)

11,073Bombs planted

5,441Bombs defused

Most-used weapons

AK-47137,638

AWP76,458

Desert Eagle53,615

M4A4 / M4A1-S41,444

P2000 / USP-S26,369

Glock-1812,175

Galil AR4,779

Knife4,076

AUG3,993

P2503,266

Lifetime map wins

20,994inferno

16,911nuke

16,400vertigo

12,361train

9,265dust2

1,932lake

1,457cbble

186office

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

Faceit stats

Combat

2,529Matches

51%Win rate

1.07Avg K/D

77.9ADR

53%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	317	49%	1.16	16.5
Ancient	200	53%	1.09	15.2
Nuke	149	46%	1.05	15.9
Anubis	100	57%	1.09	16.0
Inferno	93	49%	0.98	14.7
Dust2	88	41%	1.03	16.0
Train	62	45%	0.96	14.6
Vertigo	54	57%	1.33	18.4

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.

27.9%Headshot accuracy

33.8%Accuracy (enemy spotted)

35.7%Spray accuracy

81.6%Counter-strafing

8.3°Preaim

565msReaction time

33.4%T opening success

60.5%CT opening success

0.57Enemies flashed / flash

5.9%Flash assists

9.03HE damage / grenade

11.59Flashes / 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.

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 33.3783% — 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.

33% win rate across 12 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
train	13–7	0.01	35%	28 Aug →
vertigo	13–10	0.05	25%	28 Aug →
nuke	16–14	0.01	31%	28 Aug →
dust2	10–13	0.09	35%	28 Aug →
mirage	3–13	0.08	37%	28 Aug →
nuke	8–13	-0.01	19%	28 Aug →
anubis	16–13	-0.01	28%	28 Aug →
anubis	13–9	0.01	21%	28 Aug →
inferno	10–13	0.08	22%	27 Aug →
mirage	11–13	0.06	50%	27 Aug →
dust2	6–13	0.02	52%	27 Aug →
nuke	13–11	0.03	24%	27 Aug →
inferno	13–3	0.09	43%	25 Aug →
mirage	13–4	0.06	42%	25 Aug →
mirage	8–13	-0.03	30%	23 Aug →
dust2	11–13	0.02	25%	23 Aug →
nuke	13–10	0.14	20%	22 Aug →
vertigo	13–11	-0.02	12%	22 Aug →
ancient	13–9	0.06	25%	22 Aug →
inferno	8–13	0.02	32%	18 Aug →
cache	13–11	-0.03	15%	16 Aug →
inferno	13–6	0.01	14%	16 Aug →
ancient	13–3	0.05	22%	16 Aug →
nuke	7–13	-0.04	26%	16 Aug →
inferno	6–13	-0.06	21%	16 Aug →
cache	4–13	0.03	24%	15 Aug →
mirage	4–13	-0.07	27%	11 Aug →
ancient	5–13	-0.08	26%	11 Aug →
ancient	16–13	-0.01	30%	10 Aug →
mirage	9–13	-0.02	29%	9 Aug →
inferno	13–10	0.06	21%	8 Aug →
ancient	4–13	-0.05	20%	8 Aug →
anubis	10–13	-0.02	38%	8 Aug →
nuke	13–4	0.12	28%	8 Aug →
cache	13–10	0.02	29%	7 Aug →
mirage	9–13	0.06	39%	7 Aug →
mirage	13–11	0.04	32%	7 Aug →
nuke	10–13	-0.04	26%	7 Aug →
ancient	13–11	-0.01	29%	7 Aug →
poseidon	9–5	0.10	63%	7 Aug →
inferno	7–13	-0.02	19%	7 Aug →
dust2	13–10	0.04	31%	7 Aug →
nuke	13–9	0.04	21%	7 Aug →
cache	13–8	0.05	26%	7 Aug →
mirage	6–13	-0.06	20%	7 Aug →
dust2	13–16	0.07	26%	6 Aug →
inferno	13–16	0.01	26%	6 Aug →
mirage	5–13	-0.02	18%	6 Aug →
cache	14–16	-0.00	26%	6 Aug →
inferno	7–13	-0.03	33%	6 Aug →
ancient	8–13	-0.03	32%	6 Aug →
anubis	13–5	0.08	45%	6 Aug →
mirage	9–13	-0.01	36%	6 Aug →
nuke	13–10	-0.01	40%	6 Aug →
mirage	13–3	0.06	67%	6 Aug →
anubis	4–13	-0.01	40%	6 Aug →
dust2	14–16	0.03	37%	5 Aug →
nuke	6–13	0.00	39%	5 Aug →
mirage	13–11	0.15	35%	5 Aug →
nuke	15–15	0.11	38%	5 Aug →
cache	13–6	-0.01	44%	5 Aug →
inferno	13–5	0.03	20%	5 Aug →
anubis	10–13	0.07	30%	5 Aug →
nuke	13–8	0.04	22%	5 Aug →
anubis	15–15	0.04	25%	4 Aug →
mirage	16–12	0.01	26%	4 Aug →
cache	7–13	0.04	26%	4 Aug →
ancient	13–7	0.10	21%	4 Aug →
ancient	13–9	0.09	26%	4 Aug →
ancient	3–13	-0.05	26%	4 Aug →
cache	3–13	0.03	30%	3 Aug →
ancient	13–6	0.05	32%	3 Aug →
anubis	13–3	0.12	26%	3 Aug →
dust2	13–4	0.09	24%	3 Aug →
nuke	6–13	0.03	32%	3 Aug →
cache	12–3	0.04	22%	3 Aug →
vertigo	8–13	0.01	20%	3 Aug →
dust2	13–10	0.15	25%	2 Aug →
anubis	4–13	0.12	31%	2 Aug →
ancient	13–11	0.03	13%	2 Aug →
ancient	10–13	0.01	24%	2 Aug →
anubis	13–3	0.19	23%	2 Aug →
ancient	5–13	0.01	16%	2 Aug →
dust2	11–13	0.07	29%	1 Aug →
ancient	13–8	0.10	35%	1 Aug →
inferno	8–13	0.14	31%	1 Aug →
mirage	9–13	0.04	30%	1 Aug →
anubis	16–12	0.02	22%	1 Aug →
mirage	13–3	-0.02	26%	31 Jul →
nuke	13–11	-0.00	34%	30 Jul →
anubis	8–13	0.04	35%	30 Jul →
cache	4–13	-0.04	30%	30 Jul →
ancient	2–13	-0.05	50%	30 Jul →
cache	13–3	0.11	31%	30 Jul →
dust2	13–4	-0.01	30%	29 Jul →
mirage	13–5	-0.01	18%	29 Jul →
nuke	19–16	0.06	26%	29 Jul →
inferno	15–15	0.02	32%	29 Jul →
ancient	3–13	-0.05	22%	29 Jul →
mirage	13–11	-0.05	42%	29 Jul →