John Pork ♿ — CS2 Stats

MN76561198240409652[U:1:280143924]Steam profile ↗

1,485Tracked matches27%Win rate2020Tracked since

CSDB Rating4.5 DevelopingPassive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim68

Positioning45

Utility51

0–100 skill scores via Leetify.

Recent form

COLD41–49–10Last 10041%Win rateLWWLLLLLLL

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

Player DNA

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

Aim6.8

Aggression4.4

Utility5.1

Positioning4.5

Opening Duels0.0

Clutch3.2

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 85% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 614ms 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

Aim6.8

Positioning4.5

Utility5.1

Mechanics6.9

Opening Duels0.0

Win Impact0.0

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time619ms+28ms

first ⅓ avg 591ms → last ⅓ avg 619ms

Headshot accuracy16.8%+0.9%

first ⅓ avg 15.8% → last ⅓ avg 16.8%

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

0.19Best rating — anubis 13–2

13–2Biggest win — office

6Longest win streak

5–9In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 57% over 14infernoWeakest map · 17% over 18

Map	Grade	Played	Record	Win rate	Avg rating
cache	B	20	10–10	50%	-0.01
inferno	D	18	3–15	17%	-0.01
anubis	B	17	8–9	47%	0.00
ancient	A	14	8–6	57%	-0.00
dust2	C	10	4–6	40%	-0.01
nuke	C	8	3–5	38%	-0.02
vertigo	C	5	2–3	40%	-0.03
train	—	3	1–2	33%	0.05
office	—	2	1–1	50%	0.04
mirage	—	2	0–2	0%	-0.04
shelter	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

277Matches

55%Win rate

1.03Avg K/D

80.0ADR

46%Headshot %

Clutches & streaks

36%1v1 clutch win

25%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	58	53%	1.02	15.7
Mirage	51	49%	1.03	14.8
Ancient	49	65%	0.97	15.2
Inferno	45	62%	1.15	15.1
Dust2	27	52%	0.96	15.2
Nuke	14	50%	0.99	15.4
Vertigo	12	58%	0.96	15.1
Train	4	75%	1.21	19.5

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.

17.3%Headshot accuracy

34.2%Accuracy (enemy spotted)

37.4%Spray accuracy

81.1%Counter-strafing

9.6°Preaim

614msReaction time

30.4%T opening success

29.4%CT opening success

0.49Enemies flashed / flash

2.3%Flash assists

8.44HE damage / grenade

9.68Flashes / 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 0.4854 — below the 0.5 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 30.3706% — below the 40% mark we flag

Spend your practice time on Inferno

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

17% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	14–16	-0.07	21%	28 Aug →
ancient	13–6	-0.04	21%	27 Aug →
ancient	13–10	0.00	13%	27 Aug →
cache	9–13	-0.06	14%	26 Aug →
nuke	7–13	-0.04	18%	26 Aug →
inferno	9–13	0.02	24%	26 Aug →
ancient	8–13	-0.01	18%	23 Aug →
cache	5–13	-0.03	23%	23 Aug →
anubis	6–13	-0.06	24%	23 Aug →
dust2	3–13	-0.09	0%	23 Aug →
vertigo	11–13	-0.09	10%	23 Aug →
inferno	12–12	-0.01	24%	23 Aug →
ancient	8–13	-0.01	22%	9 Jul →
anubis	6–13	-0.03	16%	9 Jul →
shelter	13–8	-0.01	11%	9 Jul →
office	6–13	0.05	19%	8 Jul →
office	13–2	0.03	15%	8 Jul →
nuke	13–10	-0.05	29%	4 Jul →
mirage	13–16	-0.03	10%	4 Jul →
anubis	2–13	-0.08	9%	4 Jul →
train	13–4	0.06	30%	23 Jun →
train	7–13	0.01	22%	23 Jun →
dust2	7–13	-0.04	7%	20 Jun →
cache	6–13	0.01	13%	20 Jun →
anubis	12–12	0.01	12%	15 Jun →
inferno	11–13	-0.07	9%	15 Jun →
cache	13–7	0.07	28%	14 Jun →
nuke	8–8	-0.06	14%	9 Jun →
cache	12–12	-0.02	13%	8 Jun →
dust2	12–12	0.05	25%	8 Jun →
inferno	11–13	-0.01	15%	7 Jun →
inferno	4–9	-0.01	14%	28 May →
dust2	3–13	-0.06	11%	27 May →
ancient	13–9	-0.00	10%	23 May →
inferno	13–8	0.02	24%	23 May →
nuke	8–13	0.01	6%	23 May →
ancient	13–7	-0.03	20%	23 May →
cache	13–7	-0.01	21%	23 May →
nuke	8–8	0.03	29%	23 May →
anubis	13–5	0.05	27%	22 May →
cache	8–13	-0.05	10%	22 May →
inferno	12–12	0.03	20%	20 May →
ancient	13–5	0.07	20%	16 May →
anubis	13–10	0.05	24%	16 May →
cache	13–10	-0.05	14%	16 May →
dust2	13–10	-0.00	31%	16 May →
inferno	10–13	-0.01	11%	15 May →
ancient	13–10	0.01	16%	15 May →
ancient	12–12	-0.01	21%	13 May →
cache	10–13	-0.05	18%	13 May →
cache	12–12	-0.04	15%	13 May →
dust2	10–13	-0.02	24%	13 May →
dust2	13–7	-0.02	18%	6 May →
inferno	3–9	-0.06	28%	3 May →
cache	13–10	0.02	17%	1 May →
cache	13–11	0.03	12%	30 Apr →
inferno	13–4	-0.03	20%	30 Apr →
cache	13–3	0.03	4%	30 Apr →
cache	13–9	0.02	14%	30 Apr →
cache	13–3	0.06	19%	30 Apr →
cache	10–13	-0.02	23%	29 Apr →
cache	5–13	-0.00	21%	29 Apr →
cache	13–7	-0.11	14%	29 Apr →
cache	13–10	0.00	18%	29 Apr →
vertigo	13–6	0.05	11%	25 Apr →
train	8–13	0.06	16%	25 Apr →
anubis	13–16	-0.04	16%	24 Apr →
inferno	11–13	-0.01	16%	24 Apr →
inferno	6–13	-0.06	17%	24 Apr →
nuke	13–7	0.01	24%	24 Apr →
anubis	8–13	-0.01	9%	24 Apr →
anubis	13–11	-0.05	12%	24 Apr →
ancient	9–13	0.03	21%	22 Apr →
anubis	3–0	0.00	33%	22 Apr →
inferno	7–13	-0.04	9%	22 Apr →
nuke	13–8	-0.02	26%	22 Apr →
mirage	11–13	-0.05	10%	22 Apr →
anubis	13–11	-0.08	12%	20 Apr →
anubis	8–13	-0.03	13%	20 Apr →
ancient	13–7	0.04	18%	20 Apr →
anubis	7–13	0.01	14%	17 Apr →
anubis	13–8	0.01	14%	17 Apr →
inferno	3–13	-0.03	16%	17 Apr →
ancient	14–16	0.01	13%	15 Apr →
inferno	11–13	-0.01	14%	15 Apr →
ancient	10–13	-0.06	10%	15 Apr →
inferno	9–4	0.08	17%	14 Apr →
anubis	13–2	0.19	17%	13 Apr →
ancient	13–9	-0.05	17%	13 Apr →
nuke	11–13	-0.06	18%	13 Apr →
inferno	10–13	-0.02	13%	13 Apr →
anubis	13–2	0.07	14%	13 Apr →
vertigo	1–13	-0.08	15%	13 Apr →
dust2	13–7	0.00	15%	12 Apr →
vertigo	13–11	-0.03	17%	12 Apr →
inferno	3–13	-0.06	20%	12 Apr →
dust2	2–0	0.14	25%	12 Apr →
anubis	12–16	0.01	15%	12 Apr →
vertigo	12–12	0.01	13%	7 Apr →
dust2	6–13	-0.08	6%	7 Apr →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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