curlyfriis — CS2 Stats

76561198079488455[U:1:119222727]Steam profile ↗VAC banned

3,531Tracked matches48%Win rate2020Tracked since

4,505Hours in CS12Hrs last 2 wks

CSDB Rating5.2 Developing

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Performance scores

Aim55

Positioning54

Utility76

0–100 skill scores via Leetify.

Recent form

COLD48–50–2Last 10048%Win rateLTWLLWLLLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim5.5

Aggression7.3

Utility7.6

Positioning5.4

Opening Duels3.3

Clutch3.8

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 Twistzz 87% playstyle similarity

Most alike: utility contribution, 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

Strengths

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 54% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 631ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim5.5

Positioning5.4

Utility7.6

Mechanics3.7

Opening Duels3.3

Win Impact4.4

Composite 5.2/10 (Developing), 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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time643ms−18ms

first ⅓ avg 660ms → last ⅓ avg 643ms

Headshot accuracy20.4%−3.7%

first ⅓ avg 24.1% → last ⅓ avg 20.4%

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

0.12Best rating — alpine 13–3

13–3Biggest win — alpine

5Longest win streak

5–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

anubisBest map · 78% over 9infernoWeakest map · 33% over 18

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	27	12–15	44%	0.01
inferno	D	18	6–12	33%	0.00
overpass	S	12	8–4	67%	0.04
anubis	S	9	7–2	78%	-0.01
ancient	C	8	3–5	38%	0.03
train	D	6	2–4	33%	0.02
cache	—	4	2–2	50%	0.00
office	—	4	0–4	0%	0.04
dust2	—	3	2–1	67%	0.01
rooftop	—	3	2–1	67%	-0.03
vertigo	—	2	1–1	50%	0.02
poseidon	—	1	0–1	0%	0.02
sanctum	—	1	1–0	100%	0.10
alpine	—	1	1–0	100%	0.12
mirage	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

153,698Lifetime kills

1.29K/D · Top 25% of tracked players

6,110Matches

42.7%Match win rate

53.7%Headshot % · Top 25% of tracked players

14.4%Shot accuracy · Top 50% of tracked players

14,681MVPs

3,047Hours (in match)

7,872Bombs planted

2,443Bombs defused

Most-used weapons

AK-4767,862

M4A4 / M4A1-S24,949

AWP7,977

P2000 / USP-S6,941

Desert Eagle5,669

Glock-185,186

MAC-103,413

MP93,176

Galil AR2,838

Knife2,674

Lifetime map wins

12,750nuke

10,929inferno

8,584vertigo

4,789train

3,328dust2

183office

176lake

96cbble

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

Faceit stats

Combat

2,730Matches

50%Win rate

1.24Avg K/D

82.6ADR

44%Headshot %

Clutches & streaks

39%1v1 clutch win

24%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	276	59%	1.40	19.1
Anubis	267	48%	1.19	17.0
Ancient	246	44%	1.12	16.8
Inferno	152	41%	1.14	15.9
Vertigo	140	49%	1.31	17.8
Overpass	87	52%	1.22	18.5
Dust2	47	40%	1.04	16.2
Train	44	50%	1.29	17.6

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.

20.1%Headshot accuracy

37.8%Accuracy (enemy spotted)

39.4%Spray accuracy

66.8%Counter-strafing

13.0°Preaim

631msReaction time

32.8%T opening success

53.7%CT opening success

0.71Enemies flashed / flash

9.5%Flash assists

11.27HE damage / grenade

14.06Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.0052° — above the 12° mark we flag
Aim Training →

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 18 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
nuke	9–13	-0.03	19%	17 Aug →
train	12–12	0.06	12%	16 Aug →
nuke	13–11	-0.01	19%	30 Jul →
cache	2–13	-0.04	5%	24 Jul →
inferno	6–13	0.02	8%	21 Jul →
anubis	13–8	-0.01	14%	21 Jul →
cache	5–9	-0.03	14%	13 Jul →
nuke	4–13	-0.04	5%	12 Jul →
ancient	11–13	0.09	10%	4 Jul →
cache	13–5	0.09	14%	4 Jul →
inferno	5–13	-0.01	18%	2 Jul →
ancient	13–8	0.08	25%	27 Jun →
nuke	13–11	-0.00	27%	27 Jun →
nuke	16–12	0.04	23%	27 Jun →
nuke	13–8	0.04	33%	26 Jun →
nuke	11–13	0.08	21%	12 Jun →
poseidon	7–9	0.02	26%	11 Jun →
nuke	13–10	0.04	24%	9 Jun →
vertigo	8–13	0.03	25%	5 Jun →
anubis	5–13	-0.01	35%	31 May →
inferno	9–13	0.05	19%	27 May →
office	11–13	0.06	30%	17 May →
overpass	13–10	-0.01	22%	15 May →
sanctum	9–5	0.10	34%	9 May →
cache	13–10	-0.01	24%	30 Apr →
anubis	13–5	0.02	19%	30 Apr →
anubis	13–10	-0.00	24%	30 Apr →
inferno	4–13	-0.07	17%	22 Apr →
anubis	3–13	-0.03	18%	20 Apr →
overpass	8–13	0.07	26%	10 Apr →
ancient	13–10	0.02	14%	10 Apr →
overpass	16–13	0.00	24%	9 Apr →
nuke	7–13	0.00	22%	7 Apr →
ancient	4–13	-0.03	24%	5 Apr →
office	6–13	0.09	16%	20 Mar →
overpass	25–22	0.07	24%	16 Mar →
overpass	12–12	0.08	16%	11 Mar →
office	8–13	-0.03	13%	18 Feb →
dust2	16–13	0.02	14%	13 Feb →
dust2	10–13	-0.06	8%	13 Feb →
inferno	10–13	0.10	20%	12 Feb →
nuke	11–13	0.05	18%	12 Feb →
overpass	11–13	0.06	23%	11 Feb →
anubis	13–9	0.04	27%	11 Feb →
inferno	4–13	0.01	14%	11 Feb →
vertigo	13–9	0.02	18%	11 Feb →
anubis	13–7	-0.01	31%	8 Feb →
nuke	16–12	0.01	25%	8 Feb →
anubis	13–9	-0.06	16%	5 Feb →
alpine	13–3	0.12	37%	4 Feb →
inferno	11–13	-0.04	13%	31 Jan →
nuke	13–9	0.05	22%	31 Jan →
inferno	13–3	-0.04	24%	31 Jan →
nuke	16–14	-0.04	30%	29 Jan →
nuke	11–13	0.06	37%	27 Jan →
office	7–13	0.03	22%	20 Jan →
overpass	10–13	0.00	22%	16 Jan →
inferno	13–7	0.03	15%	12 Jan →
nuke	8–13	-0.05	13%	12 Jan →
anubis	13–6	-0.00	18%	10 Jan →
inferno	13–9	0.01	22%	10 Jan →
train	13–4	0.02	18%	9 Jan →
train	7–13	-0.02	21%	9 Jan →
ancient	8–13	-0.00	22%	9 Jan →
overpass	13–5	0.06	24%	8 Jan →
inferno	6–13	-0.00	22%	7 Jan →
train	3–13	0.09	22%	6 Jan →
overpass	16–13	0.02	28%	2 Jan →
inferno	8–13	-0.02	9%	1 Jan →
inferno	13–4	0.08	37%	27 Dec →
nuke	3–13	-0.08	36%	27 Dec →
mirage	13–8	0.01	17%	27 Dec →
ancient	13–6	0.07	21%	25 Dec →
nuke	13–8	0.12	29%	25 Dec →
nuke	9–13	0.02	28%	25 Dec →
train	7–13	-0.03	29%	25 Dec →
nuke	13–5	0.00	29%	2 Dec →
inferno	13–9	-0.05	26%	12 Nov →
train	13–3	0.02	35%	12 Nov →
inferno	12–16	0.01	27%	5 Nov →
nuke	13–10	0.04	32%	5 Nov →
nuke	14–16	0.03	23%	5 Nov →
nuke	5–9	-0.02	21%	5 Nov →
dust2	13–8	0.06	26%	1 Nov →
inferno	10–13	0.02	24%	31 Oct →
ancient	10–13	-0.01	14%	29 Oct →
nuke	10–13	0.06	27%	29 Oct →
overpass	13–8	0.11	30%	27 Oct →
inferno	13–9	0.02	20%	26 Oct →
nuke	10–13	-0.02	13%	24 Oct →
inferno	4–13	-0.05	13%	16 Oct →
rooftop	9–7	0.06	13%	16 Oct →
rooftop	9–7	0.04	17%	16 Oct →
rooftop	1–9	-0.19	13%	16 Oct →
ancient	29–31	0.01	15%	10 Oct →
nuke	4–13	-0.06	30%	1 Oct →
nuke	16–12	-0.05	33%	26 Sept →
nuke	4–13	-0.01	31%	22 Sept →
overpass	13–9	-0.03	28%	19 Sept →
overpass	13–10	0.03	23%	17 Sept →