KillaSwiftSack — CS2 Stats

76561198050354730[U:1:90089002]

667Tracked matches46%Win rate2023Tracked since

701Hours in CS

CSDB Rating5.6 SolidHybrid Rifler

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Performance scores

Aim72

Positioning56

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY47–43–10Last 10047%Win rateWWWWWWLLLT

Last 10 vs previous 10: +40pp win rate · +0.04 avg rating

Player DNA

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

Aim7.2

Aggression6.2

Utility5.2

Positioning5.6

Opening Duels1.9

Clutch0.0

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 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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 45% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 563ms 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

Aim7.2

Positioning5.6

Utility5.2

Mechanics6.8

Opening Duels1.9

Win Impact3.7

Composite 5.6/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time564ms−17ms

first ⅓ avg 580ms → last ⅓ avg 564ms

Headshot accuracy14.6%+0.2%

first ⅓ avg 14.4% → last ⅓ avg 14.6%

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 — vertigo 13–3

13–1Biggest win — nuke

7Longest win streak

W6Current streak

4–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 71% over 14infernoWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	32	13–19	41%	0.04
cache	B	30	14–16	47%	0.02
nuke	S	14	10–4	71%	-0.00
vertigo	C	7	3–4	43%	0.00
inferno	D	5	1–4	20%	0.02
ancient	A	5	3–2	60%	0.00
dust2	—	4	1–3	25%	-0.03
anubis	—	2	1–1	50%	0.02
office	—	1	1–0	100%	-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,190Lifetime kills

1.20K/D · Top 25% of tracked players

1,558Matches

49.4%Match win rate · Top 25% of tracked players

33.4%Headshot %

10.5%Shot accuracy

4,263MVPs

701Hours (in match)

1,889Bombs planted

537Bombs defused

Most-used weapons

AK-476,941

AWP6,155

M4A4 / M4A1-S4,013

SG 5531,639

P2000 / USP-S1,410

AUG1,279

P901,157

Glock-181,129

Desert Eagle869

SSG 08619

Lifetime map wins

4,760dust2

1,479nuke

741train

606inferno

394vertigo

139cbble

128office

20aztec

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

Faceit stats

Combat

1Matches

0%Win rate

0.71Avg K/D

90.3ADR

25%Headshot %

Clutches & streaks

0%1v1 clutch win

100%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

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.

14.3%Headshot accuracy

35.9%Accuracy (enemy spotted)

39.8%Spray accuracy

80.6%Counter-strafing

9.6°Preaim

563msReaction time

29.9%T opening success

45.0%CT opening success

0.62Enemies flashed / flash

2.6%Flash assists

8.33HE damage / grenade

7.57Flashes / 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 14.2975% — 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 29.8644% — 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.

20% win rate across 5 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	13–5	0.05	29%	16 Aug →
mirage	13–5	0.08	14%	16 Aug →
nuke	13–7	0.01	21%	16 Aug →
dust2	13–7	-0.00	16%	3 Aug →
nuke	13–1	0.04	19%	3 Aug →
ancient	13–10	0.06	9%	2 Aug →
cache	5–13	0.04	8%	1 Aug →
cache	8–13	0.07	21%	1 Aug →
mirage	11–13	-0.02	8%	1 Aug →
mirage	12–12	0.07	9%	31 Jul →
inferno	10–13	-0.00	12%	27 Jul →
dust2	10–13	-0.02	10%	26 Jul →
nuke	13–5	0.00	11%	20 Jul →
mirage	13–4	0.07	25%	20 Jul →
dust2	12–12	-0.07	7%	20 Jul →
inferno	12–12	-0.03	19%	20 Jul →
inferno	3–13	0.05	19%	19 Jul →
mirage	8–13	0.02	8%	19 Jul →
dust2	10–13	-0.03	20%	19 Jul →
vertigo	7–13	0.01	21%	17 Jul →
cache	13–6	0.01	19%	17 Jul →
mirage	16–14	0.08	15%	16 Jul →
mirage	5–13	0.06	21%	16 Jul →
ancient	9–5	-0.05	9%	16 Jul →
nuke	13–5	-0.03	10%	16 Jul →
inferno	7–13	0.01	11%	16 Jul →
cache	5–13	-0.01	16%	16 Jul →
nuke	10–13	-0.00	7%	16 Jul →
mirage	12–12	0.08	12%	16 Jul →
ancient	11–13	0.01	11%	15 Jul →
nuke	3–13	-0.06	14%	14 Jul →
anubis	6–13	-0.04	8%	14 Jul →
mirage	14–16	-0.00	22%	12 Jul →
mirage	13–11	0.10	22%	12 Jul →
cache	13–11	0.02	20%	12 Jul →
nuke	13–10	-0.05	21%	11 Jul →
mirage	15–15	0.05	11%	11 Jul →
mirage	13–2	0.09	16%	11 Jul →
mirage	13–11	-0.01	18%	8 Jul →
cache	13–5	0.02	6%	8 Jul →
cache	8–13	-0.06	13%	7 Jul →
nuke	13–8	0.01	9%	6 Jul →
mirage	13–1	0.07	10%	6 Jul →
cache	13–3	0.03	8%	6 Jul →
cache	6–13	-0.05	18%	2 Jul →
mirage	5–13	-0.02	22%	1 Jul →
mirage	11–13	0.04	13%	1 Jul →
nuke	16–13	0.10	14%	23 Jun →
mirage	6–13	-0.02	24%	23 Jun →
mirage	11–13	-0.00	8%	23 Jun →
cache	13–9	-0.05	4%	22 Jun →
cache	3–9	-0.02	12%	22 Jun →
nuke	13–5	-0.04	16%	22 Jun →
cache	7–13	0.02	10%	22 Jun →
cache	13–10	0.04	12%	19 Jun →
mirage	7–13	0.13	13%	17 Jun →
mirage	12–16	-0.01	20%	16 Jun →
ancient	14–16	-0.01	13%	16 Jun →
ancient	13–10	0.01	11%	14 Jun →
nuke	13–5	0.02	13%	13 Jun →
mirage	15–15	0.02	14%	12 Jun →
anubis	13–7	0.08	16%	12 Jun →
mirage	13–7	0.13	15%	12 Jun →
vertigo	6–13	-0.03	16%	10 Jun →
cache	13–10	0.09	15%	10 Jun →
mirage	13–9	0.10	29%	10 Jun →
mirage	8–13	0.02	13%	10 Jun →
mirage	11–13	0.00	15%	8 Jun →
vertigo	4–13	-0.05	10%	28 May →
cache	10–13	0.08	13%	28 May →
mirage	7–13	0.00	7%	22 May →
nuke	13–6	0.08	18%	22 May →
mirage	13–8	-0.03	9%	21 May →
vertigo	13–2	-0.04	11%	21 May →
cache	13–9	0.10	20%	21 May →
office	13–10	-0.00	9%	17 May →
mirage	13–3	0.04	17%	17 May →
vertigo	13–3	0.14	15%	17 May →
nuke	12–12	-0.04	27%	17 May →
cache	13–4	0.01	17%	17 May →
mirage	13–3	0.13	27%	17 May →
nuke	8–13	-0.03	30%	17 May →
cache	13–8	0.01	10%	17 May →
cache	5–13	-0.07	26%	12 May →
vertigo	13–10	-0.02	8%	10 May →
vertigo	8–13	0.03	13%	8 May →
mirage	7–13	-0.06	6%	8 May →
cache	11–13	0.01	17%	8 May →
cache	12–12	-0.02	8%	8 May →
cache	13–9	0.07	18%	7 May →
cache	12–12	0.03	11%	7 May →
cache	9–13	-0.03	15%	2 May →
cache	13–9	0.05	18%	2 May →
cache	11–13	0.03	11%	2 May →
mirage	13–4	0.01	13%	2 May →
cache	13–10	-0.01	14%	2 May →
cache	6–13	-0.00	14%	1 May →
cache	12–12	0.06	10%	1 May →
cache	13–6	0.06	12%	29 Apr →
mirage	9–13	0.08	7%	22 Apr →