SkodFreak — CS2 Stats

DK76561197966311521[U:1:6045793]Steam profile ↗✓ No bans

2,161Tracked matches50%Win rate2020Tracked since

3,409Hours in CS5Hrs last 2 wks

CSDB Rating5.0 Developing

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim52

Positioning53

Utility80

0–100 skill scores via Leetify.

Recent form

COLD50–49–1Last 10050%Win rateLLLLLLWLLW

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Aim5.2

Aggression5.9

Utility8.0

Positioning5.3

Opening Duels2.8

Clutch4.2

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 88% playstyle similarity

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

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

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 80 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 56% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.2

Positioning5.3

Utility8.0

Mechanics4.1

Opening Duels3.3

Win Impact5.0

Composite 5.0/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time593ms−8ms

first ⅓ avg 601ms → last ⅓ avg 593ms

Headshot accuracy17.9%+1.8%

first ⅓ avg 16.1% → last ⅓ avg 17.9%

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

0.14Best rating — nuke 13–7

13–2Biggest win — ancient

7Longest win streak

L6Current streak

9–9In matches decided by ≤2 rounds

19Overtime games

Map breakdown

nukeBest map · 67% over 21infernoWeakest map · 42% over 31

Map	Grade	Played	Record	Win rate	Avg rating
inferno	C	31	13–18	42%	0.01
ancient	B	26	13–13	50%	0.03
nuke	S	21	14–7	67%	0.01
cache	A	9	5–4	56%	-0.00
overpass	C	7	3–4	43%	-0.01
anubis	—	3	1–2	33%	-0.02
dust2	—	2	1–1	50%	0.01
mirage	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 31). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

122,736Lifetime kills

1.47K/D · Top 5% of tracked players

4,806Matches

51.5%Match win rate · Top 25% of tracked players

51.7%Headshot % · Top 25% of tracked players

16.8%Shot accuracy · Top 25% of tracked players

16,199MVPs

2,009Hours (in match)

7,017Bombs planted

1,526Bombs defused

Most-used weapons

M4A4 / M4A1-S26,743

AK-4726,156

P2000 / USP-S8,101

P2507,336

AWP6,262

Glock-185,581

Desert Eagle3,993

Galil AR3,966

FAMAS3,331

MAC-103,280

Lifetime map wins

10,514dust2

9,036inferno

8,881nuke

2,200vertigo

1,103train

608dust

488cbble

193safehouse

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

Faceit stats

Combat

842Matches

50%Win rate

1.20Avg K/D

93.0ADR

43%Headshot %

Clutches & streaks

41%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	121	50%	1.33	19.0
Nuke	112	60%	1.30	19.2
Ancient	112	50%	1.28	19.3
Vertigo	40	42%	1.26	18.9
Dust2	34	32%	1.23	18.6
Overpass	24	46%	1.29	18.4
Mirage	20	25%	1.02	15.9
Anubis	16	25%	0.96	15.1

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

35.4%Accuracy (enemy spotted)

35.6%Spray accuracy

68.4%Counter-strafing

11.9°Preaim

600msReaction time

25.7%T opening success

56.4%CT opening success

0.75Enemies flashed / flash

13.6%Flash assists

11.51HE damage / grenade

18.30Flashes / 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 25.713% — 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.

42% win rate across 31 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	-0.02	12%	26 Aug →
ancient	6–13	-0.02	13%	26 Aug →
nuke	7–13	0.01	16%	22 Aug →
inferno	9–13	-0.02	13%	22 Aug →
inferno	8–13	0.01	27%	16 Aug →
inferno	17–19	0.06	18%	16 Aug →
nuke	13–8	0.00	17%	12 Aug →
inferno	12–16	0.03	22%	12 Aug →
dust2	3–13	-0.02	17%	12 Aug →
ancient	13–10	0.03	7%	5 Aug →
ancient	13–8	0.07	18%	5 Aug →
ancient	16–19	-0.02	11%	2 Aug →
ancient	15–19	0.01	12%	2 Aug →
inferno	13–9	0.05	22%	2 Aug →
ancient	10–13	0.07	11%	30 Jul →
nuke	13–7	0.05	16%	30 Jul →
nuke	13–6	-0.05	18%	26 Jul →
ancient	13–11	-0.01	21%	26 Jul →
cache	13–7	0.01	22%	26 Jul →
inferno	9–13	-0.04	23%	19 Jul →
nuke	13–7	0.14	25%	19 Jul →
cache	13–9	0.05	19%	18 Jul →
ancient	13–2	0.05	16%	18 Jul →
inferno	13–5	0.01	21%	18 Jul →
inferno	3–13	-0.05	13%	18 Jul →
cache	13–11	-0.01	20%	18 Jul →
ancient	13–16	0.07	31%	8 Jul →
ancient	13–6	0.06	29%	8 Jul →
nuke	13–11	0.01	7%	8 Jul →
anubis	10–13	-0.03	11%	1 Jul →
ancient	4–13	-0.09	25%	1 Jul →
overpass	6–13	0.01	13%	1 Jul →
nuke	9–13	-0.01	26%	24 Jun →
inferno	13–7	0.02	13%	24 Jun →
mirage	10–13	-0.01	21%	24 Jun →
inferno	10–13	-0.01	20%	17 Jun →
inferno	6–13	-0.05	20%	17 Jun →
nuke	16–13	-0.03	11%	17 Jun →
overpass	11–13	0.01	18%	14 Jun →
cache	7–13	-0.04	21%	14 Jun →
nuke	7–13	-0.03	15%	14 Jun →
ancient	8–13	0.06	21%	9 Jun →
anubis	4–13	-0.05	22%	9 Jun →
nuke	19–16	0.01	18%	8 Jun →
nuke	13–11	-0.03	9%	8 Jun →
ancient	3–13	-0.02	12%	8 Jun →
inferno	13–6	0.01	15%	7 Jun →
ancient	13–7	-0.01	12%	7 Jun →
inferno	13–10	0.00	13%	7 Jun →
anubis	13–6	0.02	16%	3 Jun →
cache	5–13	-0.04	25%	3 Jun →
cache	11–13	-0.03	16%	3 Jun →
inferno	11–13	-0.03	22%	3 Jun →
cache	13–9	-0.00	14%	27 May →
overpass	13–11	-0.01	18%	27 May →
inferno	13–4	0.10	13%	27 May →
ancient	16–14	0.08	18%	27 May →
inferno	13–16	-0.02	12%	25 May →
inferno	13–8	0.05	19%	17 May →
inferno	7–13	-0.06	16%	17 May →
ancient	13–7	0.08	22%	17 May →
overpass	13–7	-0.01	14%	10 May →
nuke	11–13	0.03	19%	10 May →
inferno	8–13	-0.04	22%	10 May →
cache	13–8	0.05	19%	3 May →
inferno	10–13	0.02	13%	3 May →
cache	14–16	-0.02	18%	3 May →
inferno	8–13	0.02	25%	26 Apr →
ancient	19–16	0.06	16%	26 Apr →
ancient	15–15	0.04	13%	22 Apr →
inferno	13–4	0.01	19%	22 Apr →
nuke	13–9	0.02	14%	15 Apr →
nuke	13–6	-0.01	20%	15 Apr →
overpass	7–13	-0.05	18%	15 Apr →
nuke	16–14	-0.00	12%	12 Apr →
nuke	5–13	-0.03	23%	12 Apr →
ancient	10–13	0.02	12%	12 Apr →
nuke	11–13	-0.01	8%	8 Apr →
inferno	8–13	-0.03	13%	8 Apr →
inferno	16–13	0.03	14%	8 Apr →
ancient	11–13	0.04	12%	29 Mar →
dust2	13–6	0.05	10%	23 Mar →
nuke	16–19	0.04	20%	22 Mar →
inferno	13–9	0.01	18%	11 Mar →
inferno	13–6	0.04	28%	11 Mar →
ancient	13–8	0.02	17%	11 Mar →
overpass	4–13	-0.03	9%	11 Mar →
inferno	8–13	0.02	13%	8 Mar →
overpass	13–5	0.02	13%	4 Mar →
ancient	20–22	-0.03	17%	4 Mar →
ancient	13–9	0.03	20%	4 Mar →
nuke	16–14	0.02	9%	25 Feb →
nuke	13–10	0.09	12%	25 Feb →
inferno	13–7	0.04	15%	25 Feb →
ancient	16–14	0.04	15%	22 Feb →
nuke	16–13	0.00	12%	18 Feb →
ancient	13–9	0.06	18%	18 Feb →
inferno	5–13	-0.03	21%	18 Feb →
ancient	6–13	0.04	20%	18 Feb →
inferno	13–9	0.06	24%	15 Feb →