JONAZZZ — CS2 Stats

76561198210192325[U:1:249926597]

3,071Tracked matches50%Win rate2021Tracked since

CSDB Rating6.6 SolidAggressive Rifler

FaceitLevel 10 · 2,878 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning54

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLLLLLWWTWW

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

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

Aim9.0

Aggression6.8

Utility6.0

Positioning5.4

Opening Duels2.1

Clutch3.2

Sharp aimerStrong T-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 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

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

CT openings. Opening success drops from 46% on T to 31% on CT — first contacts on the defending side are being lost.

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

Aim9.0

Positioning5.4

Utility6.0

Mechanics7.4

Opening Duels2.1

Win Impact5.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time487ms−66ms

first ⅓ avg 554ms → last ⅓ avg 487ms

Headshot accuracy25.4%+3.3%

first ⅓ avg 22.1% → last ⅓ avg 25.4%

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

0.25Best rating — debris 9–1

13–1Biggest win — ancient

6Longest win streak

L5Current streak

7–14In matches decided by ≤2 rounds

8Overtime games

Map breakdown

nukeBest map · 80% over 5anubisWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	26	13–13	50%	0.00
cache	B	25	13–12	52%	0.03
anubis	C	14	5–9	36%	0.03
dust2	C	10	4–6	40%	0.02
mirage	C	8	3–5	38%	-0.00
inferno	B	6	3–3	50%	0.01
nuke	S	5	4–1	80%	-0.00
office	—	3	0–3	0%	0.01
debris	—	1	1–0	100%	0.25
fachwerk	—	1	0–1	0%	-0.01
overpass	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,633Matches

55%Win rate

1.11Avg K/D

74.4ADR

45%Headshot %

Clutches & streaks

36%1v1 clutch win

16%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	378	59%	1.14	15.4
Anubis	248	50%	1.05	15.3
Overpass	89	62%	1.13	14.9
Dust2	86	48%	1.09	14.1
Mirage	67	40%	1.04	15.6
Inferno	58	50%	1.03	14.4
Nuke	50	58%	1.09	14.1
Cache	27	63%	1.32	15.7

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.

23.5%Headshot accuracy

37.7%Accuracy (enemy spotted)

44.3%Spray accuracy

83.2%Counter-strafing

8.8°Preaim

516msReaction time

46.0%T opening success

30.6%CT opening success

0.54Enemies flashed / flash

13.6%Flash assists

7.01HE damage / grenade

8.89Flashes / 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
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 30.64% — below the 40% mark we flag

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.

36% win rate across 14 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
anubis	3–13	0.00	41%	28 Aug →
mirage	6–13	0.01	19%	28 Aug →
cache	10–13	0.04	28%	28 Aug →
ancient	3–13	-0.05	33%	28 Aug →
cache	2–6	-0.11	0%	28 Aug →
anubis	13–8	0.04	27%	18 Aug →
inferno	9–4	0.02	12%	17 Aug →
nuke	8–8	-0.01	37%	17 Aug →
debris	9–1	0.25	28%	17 Aug →
nuke	13–11	-0.01	15%	13 Aug →
nuke	13–10	-0.03	15%	13 Aug →
inferno	13–9	0.01	31%	13 Aug →
ancient	13–7	-0.01	15%	13 Aug →
inferno	13–9	0.03	32%	11 Aug →
anubis	1–2	0.06	67%	9 Aug →
inferno	1–2	0.06	100%	7 Aug →
anubis	2–2	0.07	14%	7 Aug →
ancient	13–1	0.07	29%	7 Aug →
nuke	13–3	0.04	14%	6 Aug →
anubis	13–8	-0.01	18%	6 Aug →
ancient	0–3	-0.06	0%	6 Aug →
cache	13–2	0.01	31%	5 Aug →
cache	13–6	0.08	24%	5 Aug →
ancient	13–9	0.04	30%	5 Aug →
ancient	13–3	0.12	28%	4 Aug →
inferno	5–13	-0.03	29%	3 Aug →
ancient	13–11	0.04	23%	2 Aug →
ancient	13–16	0.00	22%	1 Aug →
ancient	11–13	-0.04	18%	1 Aug →
anubis	3–2	0.22	8%	31 Jul →
ancient	13–7	-0.03	17%	31 Jul →
ancient	11–13	0.03	19%	30 Jul →
anubis	7–13	-0.03	16%	30 Jul →
cache	16–14	-0.02	20%	30 Jul →
cache	10–13	0.08	56%	29 Jul →
ancient	13–4	0.14	24%	29 Jul →
ancient	13–7	-0.04	13%	28 Jul →
ancient	16–14	-0.01	27%	27 Jul →
cache	13–5	0.05	21%	27 Jul →
ancient	4–13	-0.08	4%	23 Jul →
ancient	13–11	0.07	28%	21 Jul →
ancient	13–3	0.09	33%	16 Jul →
dust2	8–13	0.06	20%	16 Jul →
inferno	11–13	0.00	23%	14 Jul →
anubis	13–4	-0.04	27%	14 Jul →
anubis	7–13	0.01	33%	12 Jul →
ancient	13–5	0.01	19%	12 Jul →
fachwerk	9–13	-0.01	30%	9 Jul →
ancient	12–16	-0.01	18%	7 Jul →
ancient	13–16	0.02	20%	7 Jul →
ancient	13–11	-0.03	19%	6 Jul →
cache	9–13	0.07	23%	2 Jul →
anubis	13–7	-0.01	29%	2 Jul →
mirage	0–3	0.01	60%	2 Jul →
office	12–12	0.04	25%	25 Jun →
cache	12–12	0.06	16%	25 Jun →
anubis	13–10	-0.00	20%	24 Jun →
ancient	3–5	-0.17	0%	23 Jun →
overpass	11–13	-0.06	20%	23 Jun →
ancient	12–16	-0.02	18%	22 Jun →
dust2	2–13	-0.00	13%	22 Jun →
cache	13–1	0.14	24%	17 Jun →
office	10–13	0.02	34%	17 Jun →
cache	11–13	0.10	36%	16 Jun →
ancient	4–13	-0.02	11%	15 Jun →
dust2	13–5	0.00	12%	15 Jun →
dust2	3–7	0.00	67%	12 Jun →
office	6–13	-0.03	28%	11 Jun →
cache	13–4	0.08	22%	11 Jun →
cache	4–13	0.00	21%	9 Jun →
cache	12–12	0.01	15%	9 Jun →
cache	6–13	-0.05	23%	8 Jun →
cache	13–8	0.02	23%	8 Jun →
mirage	13–10	0.06	37%	6 Jun →
mirage	16–13	0.01	23%	6 Jun →
anubis	5–13	0.03	27%	5 Jun →
dust2	13–9	0.02	14%	5 Jun →
cache	13–10	0.06	29%	3 Jun →
dust2	13–11	0.03	17%	3 Jun →
cache	13–7	-0.02	16%	1 Jun →
mirage	11–13	-0.05	36%	1 Jun →
dust2	10–13	0.06	17%	31 May →
dust2	11–13	0.03	29%	31 May →
anubis	9–13	0.06	13%	30 May →
mirage	12–16	-0.00	10%	30 May →
cache	13–4	0.07	31%	30 May →
ancient	5–13	-0.04	21%	18 May →
cache	13–6	-0.06	22%	17 May →
nuke	13–6	0.01	14%	16 May →
mirage	13–2	-0.04	23%	13 May →
dust2	13–8	-0.02	26%	12 May →
ancient	4–13	-0.00	32%	11 May →
dust2	11–13	-0.03	13%	10 May →
anubis	11–13	0.04	9%	9 May →
cache	10–13	0.05	22%	7 May →
cache	13–3	0.07	15%	6 May →
mirage	8–13	-0.01	24%	5 May →
cache	13–7	0.03	18%	5 May →
cache	2–13	0.03	44%	5 May →
cache	6–13	-0.04	19%	28 Apr →