John Rocker — CS2 Stats

US76561198054199328[U:1:93933600]Steam profile ↗✓ No bans

1,039Tracked matches34%Win rate2020Tracked since

CSDB Rating3.6 LearningClutch Specialist

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim35

Positioning50

Utility49

0–100 skill scores via Leetify.

Recent form

COLD38–59–3Last 10038%Win rateLWLLLWTLLL

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

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim3.5

Aggression6.3

Utility4.9

Positioning5.0

Opening Duels1.7

Clutch10.0

Reliable 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 b1t 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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. 723ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.5

Positioning5.0

Utility4.9

Mechanics4.2

Opening Duels1.7

Win Impact0.0

Composite 3.6/10 (Learning), 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-0.02+0.00

first ⅓ avg -0.03 → last ⅓ avg -0.02

Reaction time716ms+28ms

first ⅓ avg 688ms → last ⅓ avg 716ms

Headshot accuracy12.5%+0.2%

first ⅓ avg 12.3% → last ⅓ avg 12.5%

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

0.08Best rating — nuke 13–11

13–0Biggest win — train

5Longest win streak

4–4In matches decided by ≤2 rounds

3Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 15% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	8–15	35%	-0.03
inferno	B	15	7–8	47%	-0.01
nuke	C	14	5–9	36%	-0.03
ancient	D	13	2–11	15%	-0.05
train	B	12	6–6	50%	-0.03
overpass	C	10	4–6	40%	-0.02
cache	D	5	1–4	20%	-0.04
anubis	A	5	3–2	60%	-0.03
vertigo	—	2	1–1	50%	0.00
grail	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

241Matches

46%Win rate

0.90Avg K/D

67.2ADR

28%Headshot %

Clutches & streaks

100%1v1 clutch win

0%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	2	50%	1.24	14.5
Anubis	1	0%	0.33	7.0

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.

12.4%Headshot accuracy

32.5%Accuracy (enemy spotted)

40.7%Spray accuracy

69.1%Counter-strafing

11.5°Preaim

723msReaction time

35.6%T opening success

38.0%CT opening success

0.67Enemies flashed / flash

5.4%Flash assists

10.03HE damage / grenade

6.13Flashes / 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.

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 12.3723% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 722.8314ms — above the 700ms mark we flag
Aim Training →
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 35.5617% — below the 40% mark we flag

Spend your practice time on Ancient

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–16	-0.01	15%	28 Jul →
nuke	13–10	0.03	23%	28 Jul →
cache	4–13	-0.03	13%	28 Jul →
dust2	13–16	0.07	16%	28 Jul →
dust2	5–13	-0.04	14%	25 Jul →
dust2	13–10	-0.03	9%	17 Jul →
cache	12–12	-0.04	20%	17 Jul →
nuke	1–13	-0.11	8%	10 Jul →
inferno	8–13	-0.03	8%	10 Jul →
ancient	8–13	-0.05	6%	10 Jul →
cache	13–7	-0.03	0%	10 Jul →
dust2	13–5	-0.00	9%	9 Jul →
dust2	9–13	-0.01	9%	20 Jun →
ancient	10–13	-0.08	8%	10 May →
nuke	13–4	0.03	12%	10 May →
dust2	8–13	-0.04	13%	10 May →
train	10–13	-0.03	10%	10 May →
cache	4–13	-0.05	20%	10 May →
inferno	1–13	-0.02	12%	2 May →
cache	1–13	-0.03	19%	2 May →
nuke	11–13	-0.00	13%	14 Mar →
vertigo	8–13	-0.01	7%	14 Mar →
inferno	8–2	0.01	33%	14 Feb →
anubis	13–7	-0.01	12%	14 Feb →
ancient	8–13	-0.05	16%	14 Feb →
overpass	13–9	0.03	11%	14 Feb →
dust2	13–8	-0.02	9%	2 Feb →
nuke	2–13	-0.10	0%	19 Jan →
train	13–8	-0.04	12%	19 Jan →
overpass	3–13	-0.02	24%	19 Jan →
dust2	13–5	0.03	17%	19 Jan →
ancient	10–13	-0.02	5%	17 Jan →
overpass	11–13	-0.07	11%	17 Jan →
dust2	4–13	-0.09	14%	11 Jan →
inferno	8–13	-0.08	11%	11 Jan →
train	13–9	-0.05	8%	11 Jan →
overpass	13–7	-0.01	13%	11 Jan →
ancient	13–7	-0.05	8%	11 Jan →
inferno	13–4	-0.05	38%	11 Jan →
nuke	13–9	-0.03	10%	11 Jan →
overpass	8–13	-0.02	7%	11 Jan →
dust2	8–13	-0.02	4%	10 Jan →
inferno	13–7	-0.02	11%	10 Jan →
ancient	2–13	-0.12	0%	1 Jan →
dust2	9–13	-0.02	15%	31 Dec →
inferno	13–5	-0.02	10%	31 Dec →
nuke	10–13	-0.07	13%	31 Dec →
dust2	13–9	0.01	18%	27 Dec →
ancient	10–13	-0.06	7%	27 Dec →
overpass	16–14	-0.00	10%	27 Dec →
nuke	13–11	0.08	8%	26 Dec →
train	9–13	-0.05	16%	26 Dec →
inferno	13–9	-0.04	3%	26 Dec →
ancient	2–13	-0.07	13%	13 Dec →
train	1–13	-0.05	9%	13 Dec →
nuke	8–13	-0.03	12%	25 Oct →
train	1–13	-0.06	10%	4 Oct →
dust2	9–13	0.02	11%	4 Oct →
nuke	9–13	-0.02	11%	4 Oct →
anubis	3–13	-0.04	18%	24 Aug →
train	13–2	0.06	8%	24 Aug →
nuke	2–13	-0.10	31%	24 Aug →
overpass	4–13	-0.05	8%	24 Aug →
dust2	12–12	-0.06	15%	24 Aug →
inferno	11–13	-0.01	7%	16 Aug →
ancient	3–13	-0.02	8%	16 Aug →
dust2	2–13	-0.07	7%	16 Aug →
anubis	13–9	-0.06	8%	9 Aug →
overpass	12–12	-0.04	9%	9 Aug →
ancient	13–7	-0.03	10%	9 Aug →
train	13–0	0.05	0%	9 Aug →
nuke	9–13	-0.04	9%	8 Aug →
dust2	9–13	-0.09	15%	8 Aug →
inferno	13–7	0.05	11%	8 Aug →
dust2	13–6	-0.03	12%	8 Aug →
dust2	13–11	-0.08	26%	25 Jul →
anubis	13–6	0.03	5%	25 Jul →
overpass	6–13	-0.06	3%	25 Jul →
ancient	7–13	-0.04	9%	22 Jul →
train	3–13	-0.04	29%	22 Jul →
inferno	13–10	0.06	9%	22 Jul →
dust2	13–10	-0.01	22%	22 Jul →
inferno	11–13	-0.00	4%	19 Jul →
train	13–10	0.03	19%	19 Jul →
ancient	7–13	-0.05	14%	12 Jul →
nuke	8–13	-0.05	10%	29 Jun →
dust2	2–13	-0.06	24%	29 Jun →
inferno	10–13	-0.04	15%	29 Jun →
train	8–13	-0.04	3%	29 Jun →
grail	13–9	-0.05	8%	29 Jun →
nuke	13–9	-0.03	15%	25 Jun →
dust2	10–13	-0.02	29%	25 Jun →
ancient	6–13	-0.02	9%	25 Jun →
vertigo	7–6	0.02	10%	25 Jun →
inferno	4–13	0.00	27%	25 Jun →
overpass	13–6	0.02	10%	25 Jun →
train	13–8	-0.10	8%	25 Jun →
anubis	7–13	-0.07	5%	25 Jun →
dust2	9–13	-0.06	12%	25 Jun →
inferno	5–13	0.01	8%	14 Jun →