John Pork — CS2 Stats

GB76561198020318957[U:1:60053229]Steam profile ↗✓ No bans

1,419Tracked matches70%Win rate2020Tracked since

CSDB Rating6.8 SolidSupport

CSDB Leaderboard#222740 of 258331 tracked

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 1,419

0.0ppWin rate · 70.4% → 70.4%

Rating over time

Premier CS Rating: 27,749 +400 24 Jun – 25 Jun · 2 days played

Faceit ELO: 2,273 +0 28 Aug – 2 Sept · 3 observations

27,749Peak Premier in tracked matches

2,273Highest Faceit ELO seen on CSDB

34Days played since 2026-05-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim73

Positioning56

Utility72

0–100 skill scores via Leetify.

Recent form

STEADY62–28–10Last 10062%Win rateLLWWWWLLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −0.8pp headshot accuracy · +82ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.00
Avg headshot accuracy 16%
Avg reaction 603ms

Last 10

6–4 · 60% win rate
Avg rating -0.02
Avg headshot accuracy 16%
Avg reaction 621ms

Last 20

13–6–1 · 65% win rate
Avg rating -0.01
Avg headshot accuracy 17%
Avg reaction 579ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.7 against its own average).

Aim7.3

Utility7.2

Positioning5.6

Opening Duels1.6

Clutch3.8

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like iM 75% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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 53% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 588ms 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

Aim7.3

Positioning5.6

Utility7.2

Mechanics7.7

Opening Duels2.9

Win Impact10.0

Composite 6.8/10 (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-0.01−0.03

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time587ms+11ms

first ⅓ avg 577ms → last ⅓ avg 587ms

Headshot accuracy17.6%−1.9%

first ⅓ avg 19.5% → last ⅓ avg 17.6%

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.

Personal bests

0.15Best match rating · 13–7 · anubis, 9 Jun →

38%Best headshot accuracy · 0–4 · cache, 4 Jun →

344msFastest reaction time · 0–13 · anubis, 28 May →

13–0Biggest win · dust2, 24 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak

L2Current streak

2–3In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 86% over 7ancientWeakest map · 46% over 13

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	54	31–23	57%	-0.01
anubis	A	18	11–7	61%	0.02
ancient	B	13	6–7	46%	-0.01
nuke	S	7	6–1	86%	0.01
dust2	—	4	4–0	100%	-0.01
mirage	—	2	2–0	100%	0.04
inferno	—	1	1–0	100%	0.03
vertigo	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

518Matches

65%Win rate

1.12Avg K/D

70.2ADR

42%Headshot %

Clutches & streaks

39%1v1 clutch win

18%1v2 clutch win

21Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	71	72%	1.03	13.8
Anubis	60	73%	0.99	13.9
Vertigo	21	71%	1.14	13.1
Nuke	19	79%	1.34	13.7
Train	11	82%	1.44	17.4
Overpass	10	80%	1.27	15.8
Dust2	9	78%	0.94	11.8
Cache	8	75%	1.12	13.8

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

35.5%Accuracy (enemy spotted)

41.3%Spray accuracy

84.5%Counter-strafing

10.8°Preaim

588msReaction time

21.2%T opening success

52.8%CT opening success

0.70Enemies flashed / flash

13.7%Flash assists

7.73HE damage / grenade

8.45Flashes / 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
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 21.1607% — 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.

46% 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
cache	9–13	-0.01	19%	22 Oct →
ancient	9–13	-0.06	19%	15 Oct →
dust2	13–6	0.01	9%	14 Oct →
ancient	13–4	0.05	17%	14 Oct →
cache	13–5	-0.01	17%	3 Aug →
inferno	13–9	0.03	22%	30 Jul →
anubis	3–13	-0.05	4%	28 Jul →
ancient	14–16	-0.05	23%	28 Jul →
cache	13–5	-0.03	24%	28 Jul →
anubis	7–3	-0.05	10%	28 Jul →
ancient	4–13	-0.02	18%	27 Jul →
anubis	3–0	0.01	33%	27 Jul →
cache	8–1	-0.00	18%	27 Jul →
cache	9–13	-0.06	9%	27 Jul →
cache	13–1	0.00	12%	27 Jul →
cache	13–7	0.04	24%	8 Jul →
cache	12–12	-0.02	19%	7 Jul →
cache	13–9	-0.01	6%	7 Jul →
cache	13–4	0.05	19%	7 Jul →
cache	13–5	-0.01	13%	6 Jul →
cache	13–5	0.01	20%	6 Jul →
cache	7–0	0.02	21%	6 Jul →
cache	13–2	-0.02	8%	6 Jul →
cache	12–12	0.02	20%	5 Jul →
cache	7–13	0.01	29%	5 Jul →
cache	12–12	-0.06	21%	5 Jul →
cache	13–11	0.00	14%	4 Jul →
cache	9–13	-0.07	16%	4 Jul →
cache	13–9	0.01	25%	4 Jul →
cache	13–11	-0.05	14%	3 Jul →
cache	5–13	-0.10	24%	3 Jul →
cache	10–13	0.00	27%	2 Jul →
cache	13–8	-0.06	9%	1 Jul →
cache	13–1	0.05	23%	30 Jun →
cache	12–12	-0.03	14%	30 Jun →
cache	12–12	-0.03	16%	26 Jun →
cache	0–5	-0.02	11%	26 Jun →
cache	13–7	0.00	29%	26 Jun →
mirage	13–5	0.04	23%	25 Jun →
ancient	16–12	-0.05	15%	25 Jun →
dust2	13–10	-0.05	12%	24 Jun →
anubis	13–7	-0.02	15%	24 Jun →
dust2	13–0	0.02	19%	24 Jun →
nuke	13–9	0.02	19%	24 Jun →
mirage	13–7	0.03	23%	24 Jun →
dust2	13–1	-0.02	9%	23 Jun →
anubis	11–13	-0.00	33%	23 Jun →
ancient	13–3	0.01	19%	23 Jun →
cache	13–7	-0.04	10%	23 Jun →
cache	13–6	-0.03	13%	23 Jun →
cache	13–8	0.08	22%	22 Jun →
cache	13–6	0.03	23%	20 Jun →
anubis	10–1	0.03	8%	20 Jun →
cache	12–12	-0.05	34%	18 Jun →
anubis	13–4	0.03	24%	16 Jun →
cache	13–7	0.07	14%	16 Jun →
nuke	13–6	-0.02	17%	16 Jun →
anubis	13–4	0.09	11%	16 Jun →
ancient	3–13	0.06	19%	16 Jun →
ancient	3–13	-0.03	19%	16 Jun →
cache	10–13	-0.05	17%	16 Jun →
anubis	0–3	-0.08	0%	16 Jun →
anubis	13–4	0.06	25%	14 Jun →
vertigo	13–5	0.01	5%	14 Jun →
cache	0–13	-0.12	0%	13 Jun →
anubis	12–12	0.08	15%	12 Jun →
ancient	4–13	-0.05	18%	12 Jun →
anubis	13–7	0.15	31%	9 Jun →
nuke	13–3	-0.06	17%	9 Jun →
ancient	13–8	-0.01	11%	9 Jun →
cache	13–5	-0.02	25%	9 Jun →
anubis	13–4	0.09	24%	6 Jun →
ancient	13–4	0.03	19%	6 Jun →
cache	13–6	0.04	20%	6 Jun →
cache	12–12	-0.01	24%	5 Jun →
cache	13–9	-0.01	15%	5 Jun →
cache	0–4	0.04	38%	4 Jun →
ancient	5–13	-0.05	19%	4 Jun →
cache	13–4	-0.05	26%	4 Jun →
cache	13–5	0.03	26%	30 May →
cache	11–13	0.02	19%	30 May →
nuke	13–4	-0.00	16%	30 May →
anubis	13–4	0.05	22%	30 May →
cache	10–13	-0.01	16%	30 May →
cache	12–12	-0.03	9%	30 May →
cache	10–13	-0.02	12%	30 May →
cache	5–13	-0.03	21%	30 May →
nuke	13–6	0.03	21%	29 May →
anubis	8–13	0.05	23%	29 May →
ancient	13–5	0.07	11%	29 May →
cache	13–5	0.05	17%	29 May →
anubis	10–13	0.03	25%	29 May →
cache	13–9	-0.04	20%	28 May →
nuke	12–12	-0.00	13%	28 May →
cache	13–3	0.11	14%	28 May →
anubis	13–5	0.01	18%	28 May →
cache	13–9	0.02	19%	28 May →
nuke	13–7	0.06	20%	28 May →
anubis	0–13	-0.07	25%	28 May →
cache	6–13	-0.06	9%	28 May →