jonesyz — CS2 Stats

76561198120792321[U:1:160526593]Steam profile ↗

889Tracked matches40%Win rate2020Tracked since

CSDB Rating5.9 SolidAggressive Rifler

Premier CS Rating22,728Top 50% of 819 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#4507 of 15768 tracked

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning63

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY54–44–2Last 10054%Win rateWWLLWWWWLL

Last 10 vs previous 10: +20pp win rate · -0.05 avg rating

Player DNA

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

Aim7.9

Aggression9.8

Utility4.9

Positioning6.3

Opening Duels4.0

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 device 92% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

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

Reaction time. 564ms 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

Aim7.9

Positioning6.3

Utility4.9

Mechanics5.5

Opening Duels4.0

Win Impact1.7

Composite 5.9/10 (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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time578ms−26ms

first ⅓ avg 604ms → last ⅓ avg 578ms

Headshot accuracy23.1%−7.1%

first ⅓ avg 30.2% → last ⅓ avg 23.1%

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

0.15Best rating — overpass 7–0

13–1Biggest win — overpass

6Longest win streak

W2Current streak

9–9In matches decided by ≤2 rounds

15Overtime games

Map breakdown

cacheBest map · 75% over 8mirageWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	24	15–9	63%	0.01
nuke	A	21	13–8	62%	0.02
anubis	A	12	7–5	58%	0.01
mirage	D	11	3–8	27%	0.02
overpass	A	9	5–4	56%	0.03
cache	S	8	6–2	75%	0.04
ancient	D	7	2–5	29%	-0.02
dust2	—	4	1–3	25%	-0.02
poseidon	—	1	0–1	0%	-0.20
debris	—	1	1–0	100%	0.14
vertigo	—	1	1–0	100%	0.03
train	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,322Matches

52%Win rate

1.28Avg K/D

81.0ADR

48%Headshot %

Clutches & streaks

39%1v1 clutch win

19%1v2 clutch win

12Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	112	44%	1.06	16.1
Inferno	107	64%	1.33	16.9
Nuke	87	56%	1.30	18.1
Anubis	85	52%	1.24	17.0
Dust2	79	49%	1.22	17.8
Ancient	39	41%	1.08	15.2
Cache	33	67%	1.30	17.3
Vertigo	29	45%	1.14	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.

22.2%Headshot accuracy

34.8%Accuracy (enemy spotted)

46.5%Spray accuracy

74.7%Counter-strafing

10.0°Preaim

564msReaction time

41.7%T opening success

50.3%CT opening success

0.40Enemies flashed / flash

5.4%Flash assists

6.99HE damage / grenade

9.92Flashes / 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 0.3989 — below the 0.5 mark we flag
Grenade Lineups →

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.

27% win rate across 11 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
inferno	13–10	0.07	18%	7 Aug →
nuke	13–10	0.03	23%	7 Aug →
inferno	1–9	-0.17	24%	6 Aug →
poseidon	1–9	-0.20	17%	6 Aug →
debris	9–3	0.14	47%	6 Aug →
cache	13–10	0.00	17%	17 Jul →
mirage	13–8	-0.02	25%	4 Jul →
inferno	13–2	0.02	32%	3 Jul →
mirage	2–13	-0.10	29%	30 Jun →
nuke	14–16	0.01	32%	27 Jun →
mirage	10–13	-0.03	29%	27 Jun →
inferno	0–8	-0.04	33%	21 Jun →
inferno	13–6	-0.02	32%	20 Jun →
inferno	8–13	0.09	23%	20 Jun →
mirage	13–11	0.10	20%	20 Jun →
mirage	7–13	-0.00	10%	20 Jun →
inferno	13–9	-0.05	3%	20 Jun →
nuke	13–4	0.09	13%	20 Jun →
anubis	11–13	0.05	33%	19 Jun →
inferno	10–13	0.08	31%	14 Jun →
anubis	13–11	0.04	16%	14 Jun →
dust2	13–16	-0.04	27%	14 Jun →
nuke	10–13	-0.02	23%	14 Jun →
cache	17–19	0.00	25%	14 Jun →
nuke	12–16	-0.03	26%	12 Jun →
overpass	2–13	-0.08	27%	12 Jun →
inferno	9–13	-0.04	25%	5 Jun →
cache	9–13	0.10	31%	1 Jun →
ancient	11–13	-0.05	3%	31 May →
anubis	13–7	0.07	13%	31 May →
dust2	13–5	-0.03	27%	31 May →
anubis	12–16	0.06	13%	30 May →
mirage	7–13	0.07	19%	30 May →
inferno	13–6	0.00	24%	30 May →
inferno	16–13	0.02	17%	28 May →
nuke	13–3	-0.01	19%	28 May →
ancient	7–13	-0.08	12%	28 May →
mirage	9–13	0.02	24%	26 May →
anubis	5–13	-0.11	19%	25 May →
nuke	13–5	0.00	30%	24 May →
cache	16–14	0.04	23%	20 May →
anubis	13–8	-0.01	35%	18 May →
anubis	10–13	-0.06	14%	17 May →
inferno	13–9	0.08	12%	16 May →
dust2	8–13	0.00	27%	15 May →
inferno	5–13	-0.00	14%	12 May →
nuke	16–13	0.02	20%	10 May →
inferno	7–13	0.06	34%	10 May →
anubis	16–13	-0.04	25%	4 May →
cache	13–10	-0.05	26%	2 May →
cache	13–11	0.09	25%	2 May →
inferno	13–9	0.00	13%	2 May →
cache	13–3	0.03	11%	30 Apr →
cache	13–4	0.10	27%	30 Apr →
ancient	7–13	-0.11	0%	22 Apr →
nuke	6–13	0.06	16%	20 Apr →
overpass	16–14	-0.00	17%	20 Apr →
inferno	13–9	0.06	30%	18 Apr →
overpass	13–1	0.08	33%	18 Apr →
anubis	13–11	0.02	24%	14 Apr →
inferno	16–14	0.01	23%	11 Apr →
nuke	14–16	-0.02	19%	11 Apr →
ancient	13–5	0.05	31%	10 Apr →
mirage	11–13	0.02	29%	10 Apr →
mirage	13–3	0.07	25%	10 Apr →
nuke	8–8	0.06	24%	4 Apr →
overpass	6–13	0.03	17%	1 Apr →
inferno	7–13	-0.02	19%	30 Mar →
nuke	13–10	0.04	55%	30 Mar →
ancient	11–13	0.04	21%	28 Mar →
overpass	7–13	0.02	35%	28 Mar →
nuke	13–9	0.11	23%	28 Mar →
vertigo	9–6	0.03	45%	28 Mar →
mirage	12–16	0.03	19%	24 Mar →
anubis	13–10	-0.01	21%	21 Mar →
nuke	13–6	-0.01	63%	21 Mar →
anubis	13–8	0.00	24%	21 Mar →
nuke	7–9	-0.07	35%	21 Mar →
ancient	13–9	0.04	26%	15 Mar →
anubis	8–13	0.06	33%	15 Mar →
inferno	13–6	0.01	25%	14 Mar →
mirage	10–13	0.03	33%	9 Mar →
nuke	13–11	0.08	16%	2 Mar →
inferno	9–6	0.05	21%	1 Mar →
overpass	13–3	0.12	48%	1 Mar →
overpass	7–0	0.15	25%	1 Mar →
ancient	3–13	-0.04	19%	1 Mar →
inferno	13–4	0.03	28%	28 Feb →
nuke	13–7	0.06	46%	25 Feb →
overpass	11–13	-0.06	17%	22 Feb →
nuke	4–9	-0.06	11%	21 Feb →
inferno	13–10	0.04	25%	16 Jan →
inferno	8–13	-0.06	33%	10 Jan →
nuke	13–10	0.06	32%	30 Dec →
nuke	13–8	0.06	38%	28 Dec →
train	4–13	-0.07	34%	28 Dec →
overpass	16–13	0.03	15%	28 Dec →
dust2	15–15	-0.00	35%	27 Dec →
nuke	13–6	-0.00	33%	27 Dec →
inferno	13–11	-0.01	42%	26 Dec →