dick jones — CS2 Stats

76561197985369915[U:1:25104187]

1,974Tracked matches50%Win rate2020Tracked since

CSDB Rating5.7 SolidHybrid Rifler

FaceitLevel 5Top 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning56

Utility59

0–100 skill scores via Leetify.

Recent form

STEADY42–50–8Last 10042%Win rateWLLLLLWWLW

Last 10 vs previous 10: +0pp win rate · +0.00 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.3

Aggression6.6

Utility5.9

Positioning5.6

Opening Duels1.7

Clutch0.0

Strong CT-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 NiKo 88% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: higher opening-fight frequency; 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

T-side openings. Opening success drops from 49% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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

Aim6.3

Positioning5.6

Utility5.9

Mechanics7.2

Opening Duels2.3

Win Impact5.0

Composite 5.7/10 (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 rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time637ms−27ms

first ⅓ avg 664ms → last ⅓ avg 637ms

Headshot accuracy12.2%−1.4%

first ⅓ avg 13.6% → last ⅓ avg 12.2%

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

0.18Best rating — dust2 13–1

13–1Biggest win — cache

5Longest win streak

7–6In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 60% over 5dust2Weakest map · 43% over 37

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	37	16–21	43%	-0.00
cache	C	28	12–16	43%	0.00
nuke	B	13	6–7	46%	0.02
inferno	A	5	3–2	60%	0.01
mirage	—	4	1–3	25%	-0.02
overpass	—	4	0–4	0%	-0.03
ancient	—	3	1–2	33%	0.01
train	—	3	1–2	33%	-0.01
anubis	—	2	1–1	50%	-0.00
italy	—	1	1–0	100%	0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 37). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

46Matches

57%Win rate

0.98Avg K/D

90.5ADR

37%Headshot %

Clutches & streaks

0%1v1 clutch win

25%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	4	50%	0.99	15.5
Mirage	4	50%	0.81	13.8
Inferno	3	100%	1.98	17.3
Dust2	3	100%	1.02	17.7
Anubis	1	0%	0.53	10.0
Vertigo	1	100%	0.68	15.0

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.

12.6%Headshot accuracy

40.3%Accuracy (enemy spotted)

41.8%Spray accuracy

82.5%Counter-strafing

13.2°Preaim

626msReaction time

24.8%T opening success

48.7%CT opening success

0.64Enemies flashed / flash

7.0%Flash assists

9.99HE damage / grenade

6.90Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.161° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.585% — below the 15% mark we flag
Aim Training →

Spend your practice time on Dust 2

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

43% win rate across 37 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–7	0.01	6%	27 Aug →
nuke	8–13	0.01	12%	27 Aug →
dust2	6–13	0.01	14%	27 Aug →
cache	8–13	-0.03	20%	26 Aug →
dust2	7–13	-0.08	11%	26 Aug →
mirage	3–13	-0.01	17%	24 Aug →
inferno	13–11	-0.06	11%	24 Aug →
cache	13–1	-0.05	12%	24 Aug →
nuke	3–13	0.04	13%	24 Aug →
dust2	13–3	-0.02	13%	24 Aug →
dust2	16–13	-0.03	16%	23 Aug →
nuke	13–11	0.01	11%	23 Aug →
anubis	13–9	0.00	7%	21 Aug →
cache	12–12	-0.05	15%	21 Aug →
dust2	5–13	-0.11	9%	21 Aug →
dust2	13–9	0.03	10%	17 Aug →
cache	12–12	0.04	10%	13 Aug →
dust2	6–13	-0.04	10%	13 Aug →
dust2	8–13	0.01	10%	12 Aug →
cache	3–13	-0.05	15%	10 Aug →
dust2	5–13	-0.02	14%	10 Aug →
dust2	10–13	-0.03	16%	9 Aug →
cache	2–13	-0.05	13%	9 Aug →
nuke	13–1	-0.04	22%	9 Aug →
nuke	10–13	-0.02	8%	3 Aug →
cache	13–1	0.07	10%	3 Aug →
dust2	13–3	0.03	14%	3 Aug →
italy	13–6	0.10	14%	2 Aug →
cache	13–5	0.06	15%	28 Jul →
dust2	13–6	-0.01	13%	28 Jul →
cache	7–13	0.00	4%	27 Jul →
dust2	13–11	0.04	13%	27 Jul →
cache	13–11	-0.06	4%	25 Jul →
dust2	13–9	0.03	10%	25 Jul →
cache	11–13	-0.06	5%	8 Jul →
dust2	13–8	-0.04	10%	8 Jul →
dust2	13–9	0.03	19%	4 Jul →
nuke	13–8	0.09	13%	4 Jul →
mirage	8–13	-0.03	7%	4 Jul →
dust2	8–0	0.09	6%	2 Jul →
nuke	13–4	0.10	4%	29 Jun →
cache	12–12	0.06	8%	29 Jun →
dust2	7–13	-0.04	11%	29 Jun →
nuke	13–7	0.09	18%	28 Jun →
overpass	8–13	0.03	8%	28 Jun →
ancient	10–13	-0.02	12%	28 Jun →
train	7–13	-0.02	13%	28 Jun →
dust2	13–7	-0.03	9%	27 Jun →
nuke	8–13	-0.03	6%	27 Jun →
train	10–13	-0.08	7%	27 Jun →
dust2	12–12	-0.03	10%	27 Jun →
cache	8–13	0.01	10%	26 Jun →
dust2	13–6	-0.00	24%	26 Jun →
cache	13–6	-0.00	5%	23 Jun →
mirage	8–13	-0.06	7%	23 Jun →
inferno	9–3	0.12	13%	23 Jun →
cache	13–5	0.09	14%	22 Jun →
dust2	11–13	0.01	12%	22 Jun →
dust2	8–13	-0.06	12%	14 Jun →
nuke	13–10	-0.02	7%	14 Jun →
overpass	12–12	-0.01	14%	14 Jun →
mirage	13–11	0.04	15%	14 Jun →
cache	11–13	-0.04	13%	12 Jun →
overpass	10–13	-0.10	0%	12 Jun →
dust2	6–13	0.00	23%	12 Jun →
dust2	8–13	0.01	10%	11 Jun →
nuke	9–13	0.01	24%	11 Jun →
ancient	13–10	0.06	18%	11 Jun →
dust2	8–13	-0.02	14%	8 Jun →
cache	13–5	0.14	8%	8 Jun →
cache	11–13	-0.00	10%	7 Jun →
dust2	13–7	0.06	20%	5 Jun →
cache	8–13	-0.02	8%	5 Jun →
dust2	1–8	-0.08	13%	5 Jun →
dust2	13–2	0.05	15%	4 Jun →
cache	13–2	0.01	14%	4 Jun →
cache	13–10	0.09	6%	4 Jun →
train	13–2	0.07	13%	4 Jun →
cache	7–13	-0.05	8%	2 Jun →
dust2	13–1	0.18	19%	2 Jun →
inferno	13–11	-0.02	14%	2 Jun →
dust2	2–13	0.02	20%	2 Jun →
cache	13–3	0.05	11%	1 Jun →
dust2	7–13	-0.07	14%	1 Jun →
cache	12–12	-0.02	15%	31 May →
inferno	8–8	-0.01	12%	31 May →
dust2	7–13	0.03	10%	31 May →
cache	13–11	0.05	11%	29 May →
dust2	13–3	0.04	21%	29 May →
inferno	2–13	0.01	24%	29 May →
ancient	11–13	-0.01	6%	29 May →
overpass	3–13	-0.02	17%	27 May →
cache	4–13	-0.06	20%	27 May →
dust2	6–13	0.01	18%	27 May →
nuke	12–12	-0.02	13%	26 May →
anubis	7–13	-0.01	15%	26 May →
cache	11–13	-0.01	16%	26 May →
dust2	5–13	-0.02	12%	26 May →
nuke	4–13	0.00	5%	23 May →
dust2	3–13	-0.02	9%	23 May →