Jonkers — CS2 Stats

76561197995253736[U:1:34988008]

1,633Tracked matches60%Win rate2020Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating24,198Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.9% of ranked players (population est.)

FaceitLevel 6Top 54.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim86

Positioning52

Utility47

0–100 skill scores via Leetify.

Recent form

STEADY53–45–2Last 10053%Win rateWWLWLLLWLW

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim8.6

Aggression6.6

Utility4.7

Positioning5.2

Opening Duels2.0

Clutch9.4

Sharp aimerLimited utility dependenceReliable in 1v1s

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 NiKo 90% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; higher opening-fight frequency.

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 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 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.

Reaction time. 571ms 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

Aim8.6

Positioning5.2

Utility4.7

Mechanics8.0

Opening Duels2.0

Win Impact8.3

Composite 6.7/10 (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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time567ms−48ms

first ⅓ avg 615ms → last ⅓ avg 567ms

Headshot accuracy18.7%+0.5%

first ⅓ avg 18.2% → last ⅓ avg 18.7%

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

0.16Best rating — anubis 13–1

13–1Biggest win — anubis

7Longest win streak

W2Current streak

7–16In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 90% over 10mirageWeakest map · 23% over 26

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	26	6–20	23%	-0.00
nuke	S	15	11–4	73%	0.02
cache	A	13	8–5	62%	0.02
anubis	C	12	5–7	42%	0.01
inferno	A	12	7–5	58%	0.01
dust2	A	12	7–5	58%	0.01
ancient	S	10	9–1	90%	0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (23% over 26). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

13Matches

85%Win rate

2.09Avg K/D

116.0ADR

41%Headshot %

Clutches & streaks

67%1v1 clutch win

0%1v2 clutch win

9Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Vertigo	4	100%	1.86	23.0
Ancient	3	100%	2.10	23.3
Nuke	2	50%	2.95	21.0
Mirage	1	100%	1.00	19.0
Overpass	1	100%	4.00	32.0
Dust2	1	0%	1.07	16.0
Anubis	1	100%	1.38	22.0

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.

17.5%Headshot accuracy

41.5%Accuracy (enemy spotted)

44.1%Spray accuracy

85.8%Counter-strafing

9.6°Preaim

571msReaction time

31.4%T opening success

44.3%CT opening success

0.63Enemies flashed / flash

3.9%Flash assists

11.09HE damage / grenade

3.14Flashes / 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
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 3.1438 — below the 4 mark we flag
Grenade Lineups →
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 31.3782% — below the 40% mark we flag

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.

23% win rate across 26 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
cache	13–6	0.07	16%	27 Aug →
nuke	13–7	-0.05	7%	27 Aug →
anubis	11–13	-0.04	8%	27 Aug →
inferno	13–9	0.00	35%	27 Aug →
ancient	7–13	-0.04	5%	27 Aug →
mirage	6–13	0.02	13%	27 Aug →
anubis	10–13	-0.05	12%	26 Aug →
nuke	13–11	0.03	27%	26 Aug →
inferno	1–13	-0.12	16%	26 Aug →
dust2	13–2	-0.01	19%	26 Aug →
mirage	13–5	0.03	26%	25 Aug →
cache	13–3	0.03	27%	25 Aug →
inferno	13–10	0.04	13%	24 Aug →
mirage	13–6	0.14	14%	24 Aug →
ancient	13–7	-0.04	7%	24 Aug →
ancient	13–4	0.07	16%	24 Aug →
mirage	8–13	-0.09	18%	24 Aug →
nuke	13–5	-0.04	20%	24 Aug →
anubis	1–13	-0.06	15%	23 Aug →
inferno	9–13	-0.03	14%	23 Aug →
anubis	9–13	0.03	16%	23 Aug →
inferno	13–5	0.00	17%	23 Aug →
cache	5–13	0.02	16%	23 Aug →
inferno	11–13	0.06	29%	23 Aug →
mirage	6–13	-0.08	11%	23 Aug →
ancient	11–4	0.09	32%	21 Aug →
mirage	13–11	0.03	19%	20 Aug →
cache	16–14	0.02	15%	19 Aug →
nuke	13–6	0.06	12%	19 Aug →
dust2	13–11	0.01	27%	18 Aug →
mirage	9–13	-0.00	25%	18 Aug →
ancient	13–2	0.14	34%	18 Aug →
mirage	6–13	-0.05	32%	18 Aug →
dust2	13–9	0.08	35%	18 Aug →
mirage	11–13	-0.06	17%	18 Aug →
cache	4–13	-0.02	29%	18 Aug →
nuke	13–7	0.04	45%	18 Aug →
mirage	14–16	-0.01	20%	17 Aug →
inferno	12–16	-0.04	15%	16 Aug →
cache	13–5	0.06	15%	16 Aug →
nuke	9–13	0.02	18%	16 Aug →
mirage	4–13	-0.06	15%	16 Aug →
nuke	15–15	-0.03	11%	14 Aug →
nuke	13–10	0.09	22%	14 Aug →
anubis	13–2	0.04	11%	14 Aug →
anubis	13–7	0.02	19%	14 Aug →
mirage	13–11	0.02	18%	13 Aug →
ancient	13–6	0.05	19%	13 Aug →
mirage	11–13	0.02	11%	13 Aug →
dust2	13–9	0.02	29%	13 Aug →
dust2	13–6	0.06	25%	12 Aug →
mirage	5–13	0.00	12%	12 Aug →
ancient	13–10	0.05	19%	11 Aug →
mirage	10–13	0.07	16%	11 Aug →
anubis	13–1	0.16	13%	10 Aug →
ancient	13–11	0.08	12%	10 Aug →
nuke	16–14	-0.03	16%	10 Aug →
mirage	10–13	0.02	15%	9 Aug →
cache	13–9	-0.02	15%	9 Aug →
mirage	13–5	0.10	9%	7 Aug →
nuke	11–13	0.09	18%	7 Aug →
mirage	6–13	-0.01	15%	7 Aug →
inferno	16–13	0.05	18%	7 Aug →
mirage	11–13	-0.02	16%	7 Aug →
anubis	11–13	0.01	13%	7 Aug →
nuke	13–9	-0.03	6%	6 Aug →
ancient	13–3	0.08	10%	6 Aug →
anubis	15–15	-0.03	21%	6 Aug →
mirage	13–10	0.05	25%	5 Aug →
anubis	13–3	0.04	20%	5 Aug →
anubis	7–13	-0.03	10%	5 Aug →
cache	13–4	0.04	18%	5 Aug →
nuke	13–4	0.04	21%	5 Aug →
cache	13–5	0.04	23%	4 Aug →
mirage	11–13	-0.00	17%	4 Aug →
inferno	13–8	0.05	22%	4 Aug →
mirage	11–13	0.00	15%	3 Aug →
dust2	7–13	-0.00	16%	3 Aug →
nuke	13–7	0.06	15%	3 Aug →
dust2	11–13	-0.02	15%	2 Aug →
dust2	11–13	-0.05	12%	28 Jul →
anubis	13–6	0.06	10%	28 Jul →
cache	6–13	0.02	12%	28 Jul →
dust2	4–13	0.01	16%	28 Jul →
dust2	13–9	0.03	12%	27 Jul →
inferno	16–13	0.07	16%	26 Jul →
ancient	13–3	0.15	32%	26 Jul →
inferno	9–13	0.00	18%	26 Jul →
nuke	11–13	0.01	22%	23 Jul →
dust2	13–10	-0.02	19%	23 Jul →
inferno	13–5	0.00	16%	22 Jul →
mirage	11–13	-0.02	27%	22 Jul →
cache	9–13	-0.04	15%	22 Jul →
nuke	13–8	0.06	21%	22 Jul →
cache	13–6	0.03	18%	22 Jul →
mirage	11–13	-0.06	10%	22 Jul →
mirage	2–11	-0.03	14%	20 Jul →
dust2	11–13	-0.02	10%	20 Jul →
cache	10–13	0.01	30%	19 Jul →
mirage	7–13	-0.01	34%	19 Jul →