Skadankle — CS2 Stats

76561197966680106[U:1:6414378]Steam profile ↗

3,233Tracked matches46%Win rate2020Tracked since

5,469Hours in CS15Hrs last 2 wks

CSDB Rating5.8 SolidAggressive Rifler

Premier CS Rating15,691Purple band · top ~25.6% of ranked players (population est.)

CSDB Leaderboard#7957 of 12634 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

Rating over time

15,691Peak Premier on CSDB

1Days observed since 2026-08-28

Premier CS Rating

At peak — 15,691
Next: Pink band at 20,000 — 4,309 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim70

Positioning58

Utility65

0–100 skill scores via Leetify.

Recent form

COLD45–51–4Last 10045%Win rateLLLWLWLLLW

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

Player DNA

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

Aim7.0

Aggression6.8

Utility6.5

Positioning5.8

Opening Duels1.9

Clutch6.4

Strong 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 Twistzz 91% playstyle similarity

Most alike: positioning profile, 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

Areas to improve

T-side openings. Opening success drops from 47% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim7.0

Positioning5.8

Utility6.5

Mechanics6.6

Opening Duels2.1

Win Impact3.8

Composite 5.8/10 (Solid), 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+0.03

first ⅓ avg -0.01 → last ⅓ avg 0.02

Reaction time588ms+5ms

first ⅓ avg 583ms → last ⅓ avg 588ms

Headshot accuracy18.5%+0.7%

first ⅓ avg 17.7% → last ⅓ avg 18.5%

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 — dust2 13–9

13–2Biggest win — dust2

5Longest win streak

L3Current streak

10–6In matches decided by ≤2 rounds

4Overtime games

Map breakdown

infernoBest map · 67% over 9mirageWeakest map · 29% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	20	9–11	45%	-0.00
mirage	D	14	4–10	29%	-0.02
cache	C	14	5–9	36%	0.01
nuke	C	12	5–7	42%	0.01
inferno	S	9	6–3	67%	0.02
ancient	S	9	6–3	67%	-0.02
anubis	A	8	5–3	63%	0.02
train	D	6	2–4	33%	0.00
vertigo	—	3	2–1	67%	0.02
office	—	2	0–2	0%	0.01
shelter	—	2	1–1	50%	-0.00
overpass	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

101,621Lifetime kills

1.01K/D

6,114Matches

44.2%Match win rate

41.4%Headshot %

12.1%Shot accuracy

10,835MVPs

2,379Hours (in match)

7,981Bombs planted

1,336Bombs defused

Most-used weapons

AK-4727,422

M4A4 / M4A1-S23,031

AWP11,618

P2000 / USP-S5,420

Glock-184,507

MAC-104,211

MP94,033

Five-SeveN2,593

MP72,426

Galil AR2,320

Lifetime map wins

19,430dust2

10,413inferno

3,480nuke

1,604vertigo

1,582train

659office

461cbble

86italy

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

Faceit stats

Combat

352Matches

50%Win rate

1.02Avg K/D

83.9ADR

40%Headshot %

Clutches & streaks

52%1v1 clutch win

26%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	16	69%	1.20	14.7
Anubis	13	62%	1.95	15.2
Dust2	12	50%	1.10	15.4
Inferno	11	36%	1.01	13.7
Ancient	5	40%	1.22	18.6
Nuke	5	40%	1.01	15.0
Cache	3	67%	1.28	12.0
Vertigo	1	100%	1.36	15.0

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.

18.3%Headshot accuracy

34.1%Accuracy (enemy spotted)

40.2%Spray accuracy

79.6%Counter-strafing

10.1°Preaim

595msReaction time

28.3%T opening success

46.9%CT opening success

0.70Enemies flashed / flash

4.4%Flash assists

9.53HE damage / grenade

10.61Flashes / 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 28.3081% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
train	5–13	-0.03	18%	18 Aug →
office	4–13	-0.05	15%	18 Aug →
train	1–8	0.00	0%	12 Aug →
train	13–10	0.02	13%	12 Aug →
dust2	6–13	0.02	27%	12 Aug →
inferno	13–6	0.03	12%	7 Aug →
nuke	12–16	-0.05	22%	7 Aug →
nuke	11–13	0.12	15%	6 Aug →
vertigo	6–13	0.01	21%	6 Aug →
mirage	6–3	0.04	50%	6 Aug →
dust2	13–10	0.10	24%	5 Aug →
mirage	9–13	0.03	13%	5 Aug →
dust2	13–9	0.14	19%	5 Aug →
nuke	10–13	-0.03	20%	4 Aug →
dust2	13–11	-0.06	13%	30 Jul →
anubis	12–12	-0.02	23%	28 Jul →
anubis	13–5	0.13	8%	28 Jul →
dust2	10–13	0.00	31%	28 Jul →
train	12–12	0.01	15%	28 Jul →
mirage	13–9	-0.01	11%	26 Jul →
mirage	2–13	-0.08	29%	23 Jul →
cache	13–10	-0.06	14%	23 Jul →
inferno	9–13	0.07	21%	21 Jul →
mirage	10–13	0.02	14%	21 Jul →
anubis	13–6	0.09	21%	21 Jul →
inferno	13–3	0.10	25%	20 Jul →
ancient	13–9	-0.01	14%	20 Jul →
dust2	11–13	-0.01	17%	20 Jul →
ancient	6–13	-0.05	17%	20 Jul →
vertigo	13–11	0.01	14%	20 Jul →
cache	13–11	0.07	11%	20 Jul →
ancient	13–11	0.02	26%	20 Jul →
dust2	13–9	0.00	19%	20 Jul →
nuke	13–5	0.03	23%	20 Jul →
mirage	10–13	-0.02	34%	19 Jul →
nuke	9–13	0.00	27%	19 Jul →
cache	5–13	-0.01	20%	19 Jul →
overpass	7–13	0.05	17%	19 Jul →
train	13–5	0.02	20%	19 Jul →
vertigo	13–11	0.05	14%	19 Jul →
cache	13–6	0.03	11%	19 Jul →
nuke	13–7	0.00	16%	19 Jul →
mirage	10–13	-0.08	10%	18 Jul →
inferno	13–5	-0.01	12%	18 Jul →
dust2	11–13	0.03	16%	16 Jul →
mirage	13–7	0.02	19%	15 Jul →
inferno	13–6	0.03	12%	15 Jul →
nuke	10–13	-0.06	12%	15 Jul →
dust2	7–13	0.05	18%	15 Jul →
cache	9–13	-0.01	20%	14 Jul →
anubis	13–11	0.04	14%	13 Jul →
mirage	1–13	-0.08	5%	13 Jul →
train	2–13	-0.00	18%	13 Jul →
nuke	11–13	0.04	10%	13 Jul →
ancient	13–9	-0.01	14%	13 Jul →
cache	13–10	0.03	11%	13 Jul →
anubis	10–13	-0.02	22%	13 Jul →
nuke	13–8	0.05	23%	13 Jul →
mirage	6–13	-0.06	15%	13 Jul →
cache	5–13	-0.05	15%	13 Jul →
dust2	3–13	-0.05	14%	13 Jul →
shelter	12–12	-0.02	11%	12 Jul →
inferno	13–9	0.02	31%	12 Jul →
dust2	11–13	-0.03	16%	12 Jul →
dust2	13–10	-0.04	20%	12 Jul →
cache	3–13	-0.06	14%	12 Jul →
cache	10–13	0.01	12%	12 Jul →
office	9–13	0.06	15%	12 Jul →
mirage	10–13	-0.06	13%	11 Jul →
shelter	13–8	0.02	16%	11 Jul →
ancient	13–4	-0.06	8%	11 Jul →
dust2	7–13	-0.06	13%	11 Jul →
mirage	13–7	-0.03	15%	11 Jul →
inferno	6–13	-0.04	28%	11 Jul →
cache	15–15	0.00	26%	11 Jul →
dust2	13–11	-0.03	22%	11 Jul →
inferno	10–13	-0.00	10%	11 Jul →
anubis	5–13	-0.06	13%	11 Jul →
cache	7–13	0.08	23%	11 Jul →
dust2	10–13	-0.07	23%	11 Jul →
nuke	2–13	-0.06	36%	11 Jul →
ancient	6–13	-0.01	17%	10 Jul →
mirage	2–13	-0.01	9%	10 Jul →
dust2	3–13	-0.07	15%	10 Jul →
dust2	13–2	-0.02	20%	10 Jul →
inferno	13–11	-0.04	14%	10 Jul →
ancient	5–13	-0.07	11%	10 Jul →
dust2	13–7	0.06	16%	10 Jul →
mirage	11–13	0.07	16%	10 Jul →
dust2	13–8	0.04	11%	10 Jul →
cache	9–13	0.03	20%	10 Jul →
nuke	13–6	-0.01	20%	10 Jul →
anubis	14–12	-0.03	28%	9 Jul →
cache	7–13	-0.06	20%	9 Jul →
anubis	13–7	0.02	17%	9 Jul →
cache	16–14	0.08	13%	9 Jul →
nuke	13–8	0.13	23%	9 Jul →
dust2	7–13	-0.08	15%	9 Jul →
ancient	13–7	-0.00	21%	9 Jul →
ancient	13–7	-0.01	16%	9 Jul →