-R0lf- — CS2 Stats

76561198841324534[U:1:881058806]✓ No bans

1,333Tracked matches47%Win rate2023Tracked since

1,353Hours in CS4Hrs last 2 wks

CSDB Rating4.3 DevelopingPassive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim60

Positioning37

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY58–41–1Last 10058%Win rateLLWWLWWLWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.0

Aggression3.1

Utility4.4

Positioning3.7

Opening Duels0.3

Clutch4.0

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 78% playstyle similarity

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

Where you differ: lower positioning profile; 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. 602ms 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

Aim6.0

Positioning3.7

Utility4.4

Mechanics6.3

Opening Duels0.3

Win Impact3.9

Composite 4.3/10 (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-0.01−0.00

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time610ms+43ms

first ⅓ avg 567ms → last ⅓ avg 610ms

Headshot accuracy18.1%−3.9%

first ⅓ avg 22.0% → last ⅓ avg 18.1%

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

0.15Best rating — inferno 13–5

13–0Biggest win — inferno

6Longest win streak

L2Current streak

10–9In matches decided by ≤2 rounds

22Overtime games

Map breakdown

infernoBest map · 69% over 13nukeWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	S	35	23–12	66%	-0.00
dust2	A	15	9–6	60%	0.00
ancient	A	15	9–6	60%	0.01
inferno	S	13	9–4	69%	0.00
nuke	D	12	4–8	33%	-0.02
cache	—	2	0–2	0%	-0.06
overpass	—	2	1–1	50%	-0.02
anubis	—	2	1–1	50%	-0.01
train	—	2	0–2	0%	0.06
vertigo	—	2	2–0	100%	0.05

Across the last 100 tracked matches.

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

Lifetime stats

44,591Lifetime kills

1.37K/D · Top 10% of tracked players

1,709Matches

43.9%Match win rate

63.7%Headshot % · Top 5% of tracked players

3.4%Shot accuracy

3,852MVPs

668Hours (in match)

2,586Bombs planted

772Bombs defused

Most-used weapons

AK-4726,028

M4A4 / M4A1-S8,255

AWP1,577

P2000 / USP-S1,529

Galil AR1,453

Desert Eagle1,302

Glock-181,191

MP9813

Knife567

Tec-9420

Lifetime map wins

2,140dust2

1,801vertigo

1,356inferno

1,258nuke

74train

2cbble

1ar_shoots

1lake

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

Faceit stats

Combat

787Matches

51%Win rate

1.01Avg K/D

68.6ADR

53%Headshot %

Clutches & streaks

40%1v1 clutch win

20%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	302	58%	0.98	13.8
Ancient	118	47%	1.03	15.0
Dust2	89	43%	0.94	13.6
Anubis	85	41%	1.05	15.0
Vertigo	73	52%	1.08	14.5
Nuke	55	44%	1.09	17.2
Inferno	52	60%	1.02	14.8
Train	5	40%	1.07	19.6

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.

17.5%Headshot accuracy

32.6%Accuracy (enemy spotted)

39.5%Spray accuracy

78.4%Counter-strafing

11.6°Preaim

602msReaction time

29.9%T opening success

32.6%CT opening success

0.52Enemies flashed / flash

5.1%Flash assists

7.04HE damage / grenade

5.94Flashes / 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 29.9443% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	2–13	-0.09	36%	13 Aug →
mirage	10–13	-0.05	17%	13 Aug →
inferno	13–5	0.15	20%	12 Aug →
dust2	13–5	0.07	18%	12 Aug →
cache	13–16	-0.02	19%	8 Aug →
mirage	13–8	0.06	15%	8 Aug →
mirage	13–5	0.05	19%	4 Jun →
mirage	9–13	0.01	27%	27 Apr →
mirage	13–6	-0.03	14%	27 Apr →
mirage	13–4	0.02	41%	25 Mar →
nuke	8–13	-0.07	13%	16 Mar →
ancient	2–13	-0.01	8%	9 Mar →
mirage	6–13	-0.02	10%	1 Mar →
mirage	10–13	-0.10	14%	1 Mar →
nuke	8–13	-0.03	10%	25 Feb →
mirage	13–7	0.07	20%	25 Feb →
mirage	13–10	-0.02	18%	22 Feb →
dust2	16–14	0.00	17%	22 Feb →
dust2	7–13	-0.02	6%	20 Feb →
nuke	14–16	-0.01	5%	20 Feb →
inferno	9–13	-0.03	17%	16 Feb →
dust2	13–9	0.03	20%	15 Feb →
nuke	7–13	-0.06	10%	5 Feb →
nuke	19–17	-0.01	19%	30 Jan →
mirage	11–13	-0.01	10%	29 Jan →
mirage	13–10	0.03	29%	28 Jan →
mirage	7–13	-0.01	39%	28 Jan →
nuke	16–14	-0.01	20%	26 Jan →
overpass	8–13	-0.05	14%	26 Jan →
anubis	13–11	0.01	14%	21 Jan →
mirage	11–2	-0.04	20%	21 Jan →
mirage	13–9	0.02	22%	7 Jan →
dust2	6–13	-0.03	21%	4 Jan →
inferno	13–0	0.07	40%	4 Jan →
dust2	16–14	0.03	28%	10 Dec →
mirage	13–7	0.02	29%	10 Dec →
inferno	13–11	0.03	19%	7 Dec →
nuke	20–22	-0.05	14%	3 Dec →
mirage	13–10	-0.01	16%	3 Dec →
mirage	13–7	-0.01	22%	30 Nov →
train	13–16	-0.01	28%	26 Nov →
mirage	13–2	-0.03	13%	26 Nov →
dust2	13–9	-0.04	26%	17 Nov →
nuke	19–16	-0.03	13%	12 Oct →
mirage	13–16	0.01	17%	26 Sept →
mirage	2–13	-0.03	25%	26 Sept →
dust2	16–12	-0.02	17%	26 Sept →
dust2	9–13	-0.06	18%	21 Sept →
mirage	13–5	0.04	20%	21 Sept →
ancient	10–13	-0.03	22%	30 Jul →
inferno	13–6	0.02	26%	30 Jul →
inferno	13–7	0.04	13%	13 Jul →
inferno	19–15	-0.01	19%	12 Jul →
nuke	11–13	-0.03	21%	6 Jul →
vertigo	9–5	0.05	33%	15 Jun →
mirage	16–13	0.01	26%	15 Jun →
nuke	11–13	0.01	44%	14 Jun →
ancient	16–12	0.10	24%	16 May →
mirage	9–13	-0.01	26%	4 May →
overpass	13–6	0.00	31%	2 May →
inferno	9–6	0.01	26%	2 May →
nuke	9–4	0.12	28%	2 May →
inferno	8–8	-0.07	44%	2 May →
inferno	9–7	-0.02	42%	2 May →
inferno	9–3	0.06	23%	2 May →
dust2	13–9	-0.02	13%	2 May →
dust2	13–9	0.04	27%	30 Apr →
ancient	13–5	0.04	22%	30 Apr →
mirage	13–9	0.11	19%	26 Apr →
dust2	11–13	0.01	32%	23 Apr →
mirage	13–10	-0.03	14%	23 Apr →
mirage	7–13	-0.03	25%	21 Apr →
ancient	13–7	-0.03	28%	21 Apr →
ancient	8–13	-0.08	16%	9 Apr →
mirage	16–13	-0.01	26%	9 Apr →
ancient	13–9	0.07	23%	28 Mar →
ancient	8–13	-0.05	9%	28 Mar →
ancient	13–9	0.03	25%	26 Mar →
mirage	13–11	0.01	17%	25 Mar →
mirage	13–8	0.00	26%	23 Mar →
ancient	14–16	0.02	19%	23 Mar →
dust2	10–13	-0.02	31%	19 Mar →
mirage	13–3	-0.02	18%	19 Mar →
ancient	16–13	-0.03	15%	9 Mar →
dust2	13–5	0.02	33%	9 Mar →
train	5–9	0.12	31%	7 Mar →
mirage	13–10	0.01	17%	7 Mar →
ancient	16–14	0.03	23%	4 Mar →
inferno	5–9	-0.08	56%	21 Feb →
inferno	2–9	-0.11	5%	21 Feb →
anubis	8–13	-0.02	16%	20 Feb →
vertigo	13–2	0.05	24%	11 Feb →
ancient	13–7	0.11	18%	8 Feb →
mirage	11–13	-0.06	13%	5 Feb →
ancient	20–22	-0.04	20%	30 Jan →
mirage	12–16	-0.05	18%	22 Jan →
nuke	9–13	-0.05	28%	7 Dec →
ancient	16–14	-0.04	24%	2 Dec →
mirage	16–12	-0.00	10%	25 Nov →
dust2	7–13	0.03	24%	25 Nov →