kryonyxo — CS2 Stats

PT76561198757747295[U:1:797481567]Steam profile ↗✓ No bans

369Tracked matches63%Win rate2025Tracked since

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating18,538Purple band · top ~14.3% of ranked players (population est.)

CSDB Leaderboard#24796 of 53748 tracked

FaceitLevel 6 · 940 ELOTop 54.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim81

Positioning67

Utility48

0–100 skill scores via Leetify.

Recent form

HOT51–44–5Last 10051%Win rateWWWWTWWLWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim8.1

Aggression10.0

Utility4.8

Positioning6.7

Opening Duels5.4

Clutch4.0

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 ZywOo 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.1

Positioning6.7

Utility4.8

Mechanics5.7

Opening Duels5.4

Win Impact9.3

Composite 6.8/10 (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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time481ms−143ms

first ⅓ avg 624ms → last ⅓ avg 481ms

Headshot accuracy19.2%+0.0%

first ⅓ avg 19.2% → last ⅓ avg 19.2%

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

0.19Best rating — inferno 9–4

13–0Biggest win — office

5Longest win streak

W4Current streak

5–6In matches decided by ≤2 rounds

6Overtime games

Map breakdown

ancientBest map · 80% over 5anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	25	11–14	44%	0.02
inferno	A	20	11–9	55%	0.02
nuke	S	16	11–5	69%	0.02
mirage	C	11	4–7	36%	0.01
cache	A	11	6–5	55%	0.03
anubis	D	6	2–4	33%	0.01
ancient	S	5	4–1	80%	0.01
overpass	—	2	0–2	0%	0.01
poseidon	—	2	1–1	50%	0.02
vertigo	—	1	0–1	0%	-0.16
office	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

120Matches

51%Win rate

1.31Avg K/D

85.0ADR

41%Headshot %

Clutches & streaks

40%1v1 clutch win

26%1v2 clutch win

5Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	30	70%	1.42	19.4
Mirage	28	36%	1.26	15.9
Ancient	16	50%	1.33	19.2
Inferno	16	56%	1.16	18.3
Nuke	14	50%	1.65	18.1
Anubis	13	38%	0.95	13.8
Cache	2	50%	1.63	19.0
Vertigo	1	0%	0.29	4.0

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.

19.6%Headshot accuracy

36.8%Accuracy (enemy spotted)

41.2%Spray accuracy

75.6%Counter-strafing

10.1°Preaim

495msReaction time

53.3%T opening success

49.6%CT opening success

0.48Enemies flashed / flash

3.3%Flash assists

6.86HE damage / grenade

6.28Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4787 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–4	0.07	14%	29 Aug →
ancient	13–6	0.04	23%	29 Aug →
dust2	13–11	0.07	9%	28 Aug →
anubis	13–7	0.05	40%	28 Aug →
inferno	15–15	-0.00	20%	26 Aug →
ancient	13–10	0.03	15%	26 Aug →
nuke	16–13	-0.04	25%	23 Aug →
inferno	4–13	0.01	15%	23 Aug →
ancient	13–6	-0.00	17%	23 Aug →
mirage	3–13	-0.00	24%	22 Aug →
nuke	13–11	-0.01	12%	22 Aug →
dust2	11–13	0.03	17%	22 Aug →
mirage	13–8	0.02	16%	22 Aug →
ancient	13–8	0.02	13%	21 Aug →
inferno	13–3	0.06	27%	16 Aug →
inferno	13–9	0.04	38%	15 Aug →
inferno	13–9	0.01	13%	15 Aug →
dust2	9–13	-0.07	21%	15 Aug →
dust2	2–13	-0.05	22%	15 Aug →
nuke	13–4	0.02	12%	15 Aug →
nuke	13–10	0.01	20%	13 Aug →
inferno	5–13	-0.06	18%	13 Aug →
mirage	8–13	-0.00	26%	8 Aug →
inferno	4–13	-0.02	21%	8 Aug →
vertigo	0–9	-0.16	0%	7 Aug →
dust2	13–2	0.09	15%	26 Jul →
mirage	13–9	0.09	20%	26 Jul →
dust2	8–13	0.04	24%	26 Jul →
cache	9–13	-0.01	27%	25 Jul →
inferno	15–15	0.01	10%	25 Jul →
mirage	15–15	0.05	20%	25 Jul →
inferno	6–13	-0.02	22%	24 Jul →
dust2	13–3	0.08	18%	24 Jul →
inferno	13–8	-0.05	28%	18 Jul →
dust2	13–7	0.14	20%	18 Jul →
nuke	13–5	0.08	20%	18 Jul →
inferno	13–6	0.05	17%	17 Jul →
mirage	5–13	-0.07	18%	14 Jul →
mirage	13–10	0.07	15%	14 Jul →
cache	12–12	0.12	22%	4 Jul →
dust2	16–14	0.03	19%	4 Jul →
overpass	2–13	-0.00	13%	4 Jul →
mirage	9–13	-0.03	25%	26 Jun →
mirage	4–13	-0.04	26%	21 Jun →
nuke	13–8	0.12	29%	12 Jun →
ancient	9–13	-0.01	16%	12 Jun →
dust2	9–13	-0.04	19%	12 Jun →
nuke	13–8	0.04	25%	5 Jun →
dust2	8–13	-0.08	21%	5 Jun →
office	13–0	-0.01	14%	4 Jun →
dust2	10–13	0.05	23%	29 May →
mirage	13–7	-0.01	24%	24 May →
anubis	13–6	0.01	8%	24 May →
cache	13–2	0.06	21%	22 May →
overpass	8–8	0.03	34%	20 May →
mirage	10–13	0.10	16%	20 May →
nuke	2–9	-0.06	7%	16 May →
anubis	11–13	0.03	17%	12 May →
cache	13–7	0.07	19%	12 May →
cache	13–2	-0.01	16%	11 May →
cache	13–9	0.02	17%	3 May →
inferno	9–4	0.19	23%	2 May →
cache	2–13	0.03	18%	2 May →
inferno	13–7	-0.01	26%	1 May →
cache	7–13	-0.01	21%	30 Apr →
cache	13–7	-0.02	6%	30 Apr →
cache	13–9	0.08	25%	29 Apr →
cache	9–13	0.05	13%	29 Apr →
inferno	9–3	0.05	31%	27 Apr →
inferno	9–7	-0.05	13%	27 Apr →
nuke	13–2	0.09	24%	25 Apr →
inferno	14–16	0.06	40%	25 Apr →
nuke	5–13	-0.06	16%	25 Apr →
dust2	0–5	-0.03	36%	25 Apr →
inferno	9–5	0.05	9%	25 Apr →
poseidon	9–4	0.06	9%	23 Apr →
dust2	2–13	-0.01	35%	19 Apr →
nuke	6–13	-0.02	13%	19 Apr →
nuke	13–10	0.10	34%	18 Apr →
nuke	10–13	-0.02	18%	12 Apr →
anubis	3–13	-0.06	5%	12 Apr →
dust2	4–13	-0.06	19%	10 Apr →
anubis	8–13	-0.03	25%	10 Apr →
inferno	7–9	-0.05	11%	7 Apr →
inferno	5–13	-0.01	17%	5 Apr →
anubis	10–13	0.07	16%	5 Apr →
dust2	13–3	-0.00	22%	5 Apr →
dust2	11–13	0.02	17%	5 Apr →
nuke	8–13	-0.01	12%	5 Apr →
nuke	13–5	-0.05	22%	5 Apr →
poseidon	4–9	-0.02	16%	5 Apr →
inferno	13–10	0.08	12%	5 Apr →
dust2	9–13	-0.02	22%	5 Apr →
dust2	13–11	0.01	10%	4 Apr →
dust2	13–3	0.04	9%	4 Apr →
dust2	13–10	0.07	24%	4 Apr →
dust2	13–2	0.12	33%	4 Apr →
dust2	6–13	-0.05	12%	4 Apr →
dust2	11–13	0.06	15%	4 Apr →
dust2	13–7	0.05	24%	4 Apr →