RogueWolf420 — CS2 Stats

AU76561199222885263[U:1:1262619535]Steam profile ↗✓ No bans

954Tracked matches33%Win rate2024Tracked since

943Hours in CS2Hrs last 2 wks

CSDB Rating3.4 Learning

Ladder ranks via Leetify

Performance scores

Aim40

Positioning37

Utility44

0–100 skill scores via Leetify.

Recent form

COLD33–63–4Last 10033%Win rateLWLLLLWLLL

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim4.0

Aggression2.2

Utility4.4

Positioning3.7

Opening Duels0.0

Clutch0.0

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 68% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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. 660ms 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

Aim4.0

Positioning3.7

Utility4.4

Mechanics4.9

Opening Duels0.3

Win Impact0.0

Composite 3.4/10 (Learning), 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 rating-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time658ms−18ms

first ⅓ avg 676ms → last ⅓ avg 658ms

Headshot accuracy10.9%+0.5%

first ⅓ avg 10.3% → last ⅓ avg 10.9%

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 — mirage 13–1

13–1Biggest win — mirage

2Longest win streak

8–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

overpassBest map · 60% over 10infernoWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	21	6–15	29%	-0.05
nuke	D	15	5–10	33%	-0.02
inferno	D	11	3–8	27%	-0.05
dust2	D	11	3–8	27%	-0.03
cache	D	10	3–7	30%	-0.05
overpass	A	10	6–4	60%	-0.03
ancient	D	7	2–5	29%	-0.02
vertigo	C	5	2–3	40%	-0.06
office	A	5	3–2	60%	-0.03
train	—	3	0–3	0%	-0.04
anubis	—	2	0–2	0%	-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,394Lifetime kills

0.60K/D

1,437Matches

46.6%Match win rate · Top 50% of tracked players

39.2%Headshot %

0.0%Shot accuracy

1,270MVPs

502Hours (in match)

1,617Bombs planted

171Bombs defused

Most-used weapons

AK-473,217

M4A4 / M4A1-S2,726

Galil AR1,599

FAMAS764

P2000 / USP-S709

Glock-18571

MP9544

MAC-10480

Desert Eagle318

MP7214

Lifetime map wins

3,019dust2

1,780inferno

1,428nuke

815train

459vertigo

159office

3ar_shoots

2ar_baggage

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

Faceit stats

Combat

3Matches

33%Win rate

0.65Avg K/D

56.8ADR

55%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

1Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	1	100%	0.79	15.0
Mirage	1	0%	0.76	13.0
Dust2	1	0%	0.40	6.0

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.

11.0%Headshot accuracy

29.5%Accuracy (enemy spotted)

31.9%Spray accuracy

71.9%Counter-strafing

8.4°Preaim

660msReaction time

21.7%T opening success

32.6%CT opening success

0.55Enemies flashed / flash

1.1%Flash assists

9.81HE damage / grenade

5.11Flashes / 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 10.9549% — below the 15% mark we flag
Aim Training →
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 21.6665% — 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.

27% win rate across 11 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
mirage	11–13	-0.05	13%	15 Aug →
nuke	13–8	-0.05	6%	8 Aug →
mirage	7–13	-0.13	9%	8 Aug →
mirage	1–13	-0.09	3%	8 Aug →
train	4–13	-0.06	18%	18 Jul →
cache	3–13	-0.10	13%	18 Jul →
vertigo	13–5	-0.05	8%	18 Jul →
nuke	6–13	-0.01	21%	18 Jul →
nuke	7–13	-0.01	15%	17 Jul →
mirage	6–13	-0.08	18%	17 Jul →
mirage	13–11	-0.00	8%	17 Jul →
cache	13–16	-0.08	8%	17 Jul →
mirage	13–11	-0.02	10%	17 Jul →
inferno	11–13	0.07	4%	16 Jul →
ancient	3–13	0.03	10%	10 Jul →
cache	5–13	-0.04	16%	10 Jul →
mirage	5–13	-0.06	20%	19 Jun →
cache	13–11	-0.03	9%	16 Jun →
cache	9–1	-0.00	11%	16 Jun →
cache	3–13	-0.06	6%	16 Jun →
inferno	9–13	-0.06	6%	15 Jun →
dust2	13–11	-0.04	14%	15 Jun →
mirage	9–13	-0.08	14%	14 Jun →
ancient	13–3	0.02	5%	14 Jun →
overpass	13–10	0.04	15%	14 Jun →
cache	2–8	-0.04	14%	29 May →
inferno	8–13	-0.07	11%	29 May →
cache	5–13	-0.01	7%	22 May →
mirage	6–13	-0.02	0%	22 May →
mirage	13–7	-0.05	11%	21 May →
cache	13–4	-0.06	20%	21 May →
cache	12–12	-0.05	9%	15 May →
office	4–13	-0.05	8%	11 Apr →
vertigo	3–13	-0.04	15%	11 Apr →
dust2	3–13	-0.03	8%	11 Apr →
inferno	1–13	-0.10	7%	8 Apr →
vertigo	13–6	-0.04	10%	8 Apr →
mirage	12–12	-0.08	5%	4 Apr →
office	13–7	0.06	11%	4 Apr →
mirage	13–5	-0.04	5%	25 Mar →
ancient	5–12	-0.04	11%	25 Mar →
overpass	13–6	0.05	8%	23 Mar →
nuke	9–13	-0.01	11%	23 Mar →
office	13–6	-0.02	7%	23 Mar →
mirage	6–13	-0.09	13%	23 Mar →
inferno	13–6	-0.04	6%	9 Mar →
dust2	10–13	-0.08	3%	7 Mar →
overpass	2–13	-0.12	5%	7 Mar →
anubis	2–13	-0.07	7%	5 Mar →
overpass	13–8	-0.04	6%	5 Mar →
overpass	12–12	-0.04	11%	4 Mar →
mirage	13–11	0.04	14%	4 Mar →
nuke	4–13	0.01	8%	4 Mar →
dust2	11–13	-0.02	11%	4 Mar →
overpass	4–13	-0.08	0%	4 Mar →
nuke	6–13	-0.07	15%	4 Mar →
nuke	2–9	-0.02	25%	4 Mar →
inferno	0–6	-0.12	11%	4 Mar →
nuke	13–5	-0.05	11%	3 Mar →
anubis	8–13	-0.08	10%	3 Mar →
nuke	13–10	-0.06	9%	3 Mar →
nuke	0–13	-0.05	17%	26 Feb →
train	11–13	0.01	18%	26 Feb →
inferno	2–13	-0.08	15%	26 Feb →
mirage	4–13	-0.09	6%	29 Dec →
mirage	9–13	-0.05	13%	29 Dec →
mirage	12–12	-0.05	8%	3 Dec →
mirage	13–1	0.08	11%	3 Dec →
dust2	2–13	-0.01	9%	3 Dec →
inferno	13–11	-0.05	10%	3 Dec →
dust2	13–2	0.06	17%	3 Dec →
ancient	1–13	-0.05	14%	2 Dec →
inferno	3–13	-0.03	4%	2 Dec →
inferno	9–13	-0.01	22%	30 Nov →
nuke	10–13	-0.06	9%	30 Nov →
dust2	7–13	-0.09	7%	29 Nov →
dust2	1–4	-0.02	13%	29 Nov →
office	2–13	-0.11	8%	29 Nov →
ancient	8–13	-0.04	8%	29 Nov →
nuke	7–13	-0.02	11%	29 Nov →
ancient	8–13	0.01	17%	29 Nov →
office	13–8	-0.03	23%	27 Nov →
dust2	13–3	-0.02	4%	27 Nov →
mirage	9–13	-0.03	4%	26 Nov →
dust2	7–13	-0.02	15%	21 Nov →
vertigo	9–13	-0.06	6%	20 Nov →
overpass	13–11	-0.07	22%	19 Nov →
overpass	7–13	0.01	5%	19 Nov →
inferno	13–5	-0.04	4%	18 Nov →
overpass	13–7	-0.01	7%	18 Nov →
mirage	11–13	-0.06	15%	17 Nov →
nuke	13–4	0.04	12%	17 Nov →
nuke	8–13	0.04	4%	15 Nov →
vertigo	1–13	-0.12	7%	14 Nov →
mirage	2–5	-0.08	0%	14 Nov →
dust2	10–13	-0.10	15%	14 Nov →
nuke	13–8	-0.00	10%	14 Nov →
train	1–13	-0.07	12%	13 Nov →
ancient	13–11	-0.07	8%	13 Nov →
overpass	16–13	-0.05	9%	13 Nov →