Styxik — CS2 Stats

76561198066457210[U:1:106191482]

818Tracked matches63%Win rate2020Tracked since

CSDB Rating6.9 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim77

Positioning61

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateWLWWWLLLWW

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

Player DNA

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

Aim7.7

Aggression8.6

Utility5.9

Positioning6.1

Opening Duels4.9

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 donk 92% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Reaction time. 574ms 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

Aim7.7

Positioning6.1

Utility5.9

Mechanics7.1

Opening Duels4.9

Win Impact9.4

Composite 6.9/10 (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 rating0.03+0.04

first ⅓ avg -0.01 → last ⅓ avg 0.03

Reaction time564ms−3ms

first ⅓ avg 567ms → last ⅓ avg 564ms

Headshot accuracy23.8%−0.3%

first ⅓ avg 24.0% → last ⅓ avg 23.8%

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

0.22Best rating — inferno 13–5

13–1Biggest win — inferno

7Longest win streak

11–8In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 86% over 7overpassWeakest map · 40% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	21	12–9	57%	0.02
ancient	A	19	11–8	58%	0.01
overpass	C	15	6–9	40%	0.02
anubis	A	12	7–5	58%	-0.00
train	A	11	7–4	64%	0.03
nuke	S	7	6–1	86%	-0.00
cache	C	5	2–3	40%	0.00
mirage	C	5	2–3	40%	0.01
dust2	—	3	2–1	67%	0.02
vertigo	—	2	0–2	0%	-0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,422Matches

52%Win rate

1.17Avg K/D

78.8ADR

55%Headshot %

Clutches & streaks

39%1v1 clutch win

23%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	155	57%	1.16	16.6
Inferno	130	52%	1.34	16.9
Anubis	67	42%	1.08	14.6
Overpass	57	61%	1.36	17.5
Train	45	60%	1.31	17.2
Nuke	41	41%	1.06	15.7
Mirage	41	44%	1.07	14.0
Dust2	13	38%	1.32	14.6

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.

23.7%Headshot accuracy

34.2%Accuracy (enemy spotted)

32.9%Spray accuracy

82.0%Counter-strafing

9.3°Preaim

574msReaction time

44.9%T opening success

54.3%CT opening success

0.63Enemies flashed / flash

8.0%Flash assists

10.47HE damage / grenade

15.47Flashes / match

Recommended for you

Spend your practice time on Overpass

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	16–14	0.06	33%	19 Aug →
cache	6–13	-0.03	16%	23 Jul →
inferno	19–17	-0.01	19%	9 Jul →
dust2	13–9	0.13	26%	17 Jun →
ancient	16–12	0.01	23%	23 May →
cache	8–13	-0.02	9%	23 May →
inferno	5–13	0.02	21%	6 May →
cache	6–13	-0.08	30%	6 May →
inferno	13–1	0.05	30%	3 May →
cache	13–4	0.09	25%	29 Apr →
overpass	13–5	0.07	22%	22 Apr →
ancient	13–10	0.03	20%	21 Apr →
overpass	13–6	0.06	36%	2 Apr →
anubis	13–4	0.11	20%	8 Mar →
overpass	11–13	0.07	13%	6 Mar →
inferno	6–13	-0.00	32%	18 Feb →
inferno	16–13	-0.05	29%	1 Feb →
anubis	13–7	0.05	18%	25 Jan →
overpass	8–13	-0.05	18%	25 Jan →
inferno	13–10	0.01	28%	4 Jan →
inferno	6–13	0.06	20%	1 Jan →
train	13–1	-0.02	14%	12 Nov →
overpass	10–13	-0.01	20%	7 Nov →
train	8–13	-0.03	32%	18 Oct →
inferno	16–14	0.03	18%	14 Oct →
train	13–3	0.12	31%	14 Oct →
overpass	13–11	0.06	31%	3 Oct →
train	13–5	0.08	13%	15 Sept →
train	20–22	0.04	29%	12 Sept →
ancient	13–5	0.02	31%	5 Sept →
ancient	13–5	0.09	28%	5 Sept →
inferno	13–10	0.04	26%	28 Aug →
ancient	13–6	-0.04	23%	27 Aug →
inferno	13–11	0.06	20%	20 Aug →
overpass	13–10	-0.01	17%	20 Aug →
ancient	13–11	-0.03	17%	20 Aug →
inferno	11–13	0.03	27%	20 Aug →
overpass	13–9	0.04	17%	18 Aug →
overpass	11–13	0.05	24%	18 Aug →
train	13–10	-0.05	24%	15 Aug →
overpass	7–13	0.00	18%	15 Aug →
inferno	13–7	0.03	16%	15 Aug →
ancient	11–13	-0.01	23%	15 Aug →
train	6–13	0.07	21%	11 Aug →
inferno	20–22	0.03	28%	6 Aug →
ancient	13–5	0.09	27%	6 Aug →
nuke	4–13	-0.08	7%	6 Aug →
mirage	9–13	-0.04	26%	6 Aug →
inferno	5–13	-0.01	33%	4 Aug →
overpass	9–13	0.04	28%	1 Aug →
train	9–13	-0.03	20%	1 Aug →
overpass	10–13	0.04	18%	27 Jul →
nuke	13–11	0.05	23%	4 Jul →
ancient	13–4	0.06	23%	26 Jun →
ancient	11–13	-0.02	24%	4 Jun →
train	13–11	0.11	36%	4 Jun →
train	13–6	0.03	35%	21 May →
anubis	2–13	0.00	32%	17 May →
inferno	8–13	-0.02	21%	17 May →
dust2	3–13	-0.08	18%	10 May →
inferno	13–2	0.04	50%	9 May →
dust2	13–11	0.01	24%	19 Mar →
nuke	13–6	0.02	11%	11 Mar →
anubis	13–9	-0.01	24%	4 Mar →
nuke	13–7	0.02	17%	18 Feb →
mirage	13–7	0.07	29%	18 Feb →
inferno	13–8	-0.01	34%	17 Feb →
ancient	6–13	-0.05	25%	13 Dec →
train	13–9	0.01	27%	18 Nov →
ancient	13–5	0.06	34%	16 Oct →
anubis	3–13	-0.08	27%	9 Oct →
ancient	4–13	-0.06	13%	28 Sept →
ancient	13–6	0.05	21%	28 Sept →
anubis	13–1	0.01	37%	5 Aug →
mirage	4–13	-0.03	24%	31 Jul →
nuke	13–11	-0.03	22%	9 Dec →
mirage	9–13	-0.05	17%	9 Dec →
ancient	6–13	-0.00	32%	9 Dec →
overpass	7–13	-0.05	31%	9 Dec →
inferno	13–8	-0.03	17%	7 Dec →
anubis	10–13	-0.05	23%	5 Dec →
inferno	9–13	-0.02	23%	4 Dec →
overpass	13–9	0.01	18%	4 Dec →
nuke	13–5	0.04	21%	28 Nov →
ancient	11–13	-0.03	18%	28 Nov →
anubis	3–13	-0.11	15%	28 Nov →
ancient	8–13	-0.04	27%	28 Nov →
anubis	9–13	-0.05	12%	21 Nov →
vertigo	15–15	0.01	16%	21 Nov →
inferno	13–5	0.22	27%	18 Nov →
mirage	13–5	0.11	22%	17 Nov →
nuke	13–7	-0.05	26%	17 Nov →
ancient	13–7	0.08	31%	17 Nov →
inferno	2–13	-0.10	25%	17 Nov →
overpass	4–13	-0.07	24%	14 Nov →
anubis	13–9	0.03	19%	14 Nov →
ancient	9–13	-0.03	31%	24 Sept →
anubis	13–11	0.03	20%	24 Sept →
anubis	13–9	0.03	33%	10 Sept →
vertigo	10–13	-0.04	35%	10 Sept →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

2K ELO500 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

Explore CSDB.gg

Sensitivity ConverterConvert sensitivity between CS2 and other games eDPI CalculatorCalculate your effective DPI cm/360 CalculatorMouse distance per full turn Resolution CalculatorCompare aspect ratios and resolutions Crosshair GeneratorBuild and preview custom crosshairs

Tools

Sticker Craft MakerPlan and price a CS2 sticker craft with live prices on every piece CS2 Stats TrackerLook up any player: Premier rating, Faceit level, matches and skill breakdown Trust Factor CheckerEstimate your CS2 Trust Factor from the signals Valve has acknowledged

Learn & Explore

Most Traded CS2 SkinsRanked by completed sales — transaction data, not listings Cheapest Knives in CS2Every knife type ranked by its cheapest live price Cheapest Gloves in CS2Every glove model ranked by its cheapest live price