John the Lunch

John the Lunch — CS2 Stats

PT76561198189419719[U:1:229153991]Steam profile ↗✓ No bans

798Tracked matches61%Win rate2020Tracked since
2,584Hours in CS17Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating17,142Purple band · top ~19.9% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+276Premier CS Rating · 16,866 → 17,142
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 30 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 17,142 +1,912 4 May17 Sept · 19 days played
15,23018,028peak 18,0284 May17 Sept
18,028Peak Premier in tracked matches
37Days played since 2026-04-30

Premier CS Rating

  • 886 below peak (18,028)
  • +357 over 90 days
  • Next: Pink band at 20,000 2,858 to go
  • Reached: Purple band · Blue band · Light Blue band

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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches19
Win rate47%
K/D1.11
Headshot %51%

Measured 9 Sep 202617 Sep 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=34,112), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate39.6%44.3%47.0%7.4% short
Shot accuracy13.4%11.8%13.0%above
Kill/death ratio0.941.031.080.14 short
Match win rate44.7%45.2%46.7%2.0% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJohn the LunchPREMIER17,142 · Purple bandcsdb.gg/stats

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

Aim68
Positioning51
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY48457Last 10048%Win rateWLLTWWWWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −8.9pp headshot accuracy · −32ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 221 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 475ms

Last 10

  • 631 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 520ms

Last 20

  • 1073 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 536ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim6.8
Utility4.3
Positioning5.1
Opening Duels2.5
Clutch2.4

Limited utility dependence

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

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: positioning profile, 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

T-side openings. Opening success drops from 47% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 565ms 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
Positioning5.1
Utility4.3
Mechanics6.5
Opening Duels2.2
Win Impact8.6

Composite 5.8/10 (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-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time548ms−39ms
first ⅓ avg 587ms → last ⅓ avg 548ms
Headshot accuracy21.1%+2.2%
first ⅓ avg 18.8% → last ⅓ avg 21.1%

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

0.13Best match rating · 8–8 · vertigo, 30 Apr
50%Best headshot accuracy · 13–5 · mirage, 11 Sept
367msFastest reaction time · 3–9 · vertigo, 16 Sept
13–1Biggest win · inferno, 22 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
94In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 63% over 8nukeWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
infernoC23101343%-0.01
ancientA1710759%-0.00
nukeD124833%-0.03
mirageB115645%0.00
dust2A106460%-0.00
anubisA85363%-0.00
vertigoD62433%0.01
cacheD62433%0.01
overpass31233%0.01
poseidon220100%0.05
eldorado110100%0.01
sanctum1010%-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

54,299Lifetime kills
0.94K/D
3,327Matches
44.7%Match win rate
39.6%Headshot %
13.4%Shot accuracy · Top 50% of Purple band
7,046MVPs
1,474Hours (in match)
4,025Bombs planted
1,033Bombs defused

Most-used weapons

AK-4712,593
AWP9,353
P902,768
Tec-91,347
MP91,255
MAC-101,199

Lifetime map wins

6,884dust2
3,672inferno
1,473nuke
606train
435cbble
409vertigo
183office
39dust

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

145Matches
49%Win rate
0.97Avg K/D
75.4ADR
43%Headshot %

Clutches & streaks

32%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient2343%0.9614.0
Mirage2335%1.0412.8
Inferno1741%1.0115.4
Dust21694%1.4317.9
Anubis1580%0.9113.6
Nuke1436%1.0211.4
Vertigo1040%0.8713.3
Cache50%0.6910.8

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.

21.3%Headshot accuracy
31.5%Accuracy (enemy spotted)
30.0%Spray accuracy
79.5%Counter-strafing
8.9°Preaim
565msReaction time
26.6%T opening success
47.3%CT opening success
0.42Enemies flashed / flash
6.7%Flash assists
7.89HE damage / grenade
4.81Flashes / 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.

  1. 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 0.4187 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 26.5671% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage16–130.0731%17 Sept
inferno3–13-0.040%17 Sept
vertigo3–9-0.1215%16 Sept
inferno8–8-0.0118%16 Sept
eldorado9–40.0111%16 Sept
anubis13–7-0.0114%16 Sept
dust213–110.0137%15 Sept
mirage13–30.0124%15 Sept
anubis13–60.067%15 Sept
nuke8–13-0.018%15 Sept
nuke6–9-0.0928%15 Sept
anubis6–13-0.0424%14 Sept
cache15–15-0.0527%14 Sept
mirage8–130.0310%14 Sept
inferno13–110.0322%11 Sept
mirage13–50.0450%11 Sept
inferno15–150.0139%7 Sept
anubis13–7-0.0419%7 Sept
cache13–70.0715%27 Aug
inferno6–9-0.1020%20 Aug
ancient13–9-0.0423%14 Aug
vertigo8–13-0.0138%14 Aug
ancient2–13-0.0322%13 Aug
anubis16–14-0.0113%11 Aug
inferno11–13-0.0030%11 Aug
inferno19–150.0114%10 Aug
vertigo13–40.1113%10 Aug
cache10–13-0.0321%10 Aug
ancient19–17-0.0314%10 Aug
inferno13–10.0450%22 Jul
nuke13–20.1011%21 Jul
ancient13–8-0.035%20 Jul
inferno4–13-0.0422%20 Jul
nuke0–13-0.115%17 Jul
mirage3–13-0.0524%17 Jul
nuke4–7-0.0318%14 Jul
mirage13–60.0318%14 Jul
ancient13–5-0.0617%14 Jul
inferno3–13-0.0523%14 Jul
ancient13–70.0524%13 Jul
cache7–13-0.0026%13 Jul
dust24–13-0.0711%13 Jul
dust213–80.049%12 Jul
inferno13–20.0914%12 Jul
nuke10–130.0013%10 Jul
inferno5–13-0.0111%10 Jul
ancient5–13-0.0915%2 Jul
mirage9–13-0.0218%2 Jul
ancient11–130.0424%25 Jun
overpass5–13-0.0414%16 Jun
inferno2–9-0.0413%16 Jun
dust213–50.0121%16 Jun
dust28–13-0.0216%16 Jun
mirage5–13-0.0521%8 Jun
ancient7–13-0.017%8 Jun
ancient5–13-0.0030%8 Jun
inferno2–9-0.0825%5 Jun
inferno13–11-0.0119%29 May
cache13–110.0614%29 May
mirage9–130.0114%29 May
inferno13–110.0123%28 May
dust213–90.0120%26 May
inferno9–6-0.0516%25 May
dust26–13-0.0123%23 May
nuke13–20.0324%23 May
inferno8–130.0117%23 May
ancient13–11-0.0315%23 May
poseidon9–50.0528%23 May
vertigo8–8-0.0716%23 May
inferno9–7-0.0226%23 May
mirage11–13-0.0820%22 May
anubis13–80.0722%22 May
inferno13–50.0916%22 May
nuke15–15-0.0317%22 May
ancient9–130.0723%22 May
overpass15–150.0315%22 May
overpass13–30.0310%20 May
dust213–80.0221%20 May
ancient13–80.0510%20 May
ancient13–60.0614%20 May
vertigo9–60.0519%20 May
ancient2–13-0.028%20 May
inferno5–13-0.0913%20 May
inferno13–60.0718%19 May
nuke13–9-0.0128%19 May
nuke8–13-0.0222%14 May
ancient13–90.0228%14 May
dust213–5-0.0025%11 May
ancient13–70.0011%11 May
anubis11–130.0210%11 May
inferno9–13-0.0411%4 May
nuke13–20.0013%4 May
cache3–100.0237%4 May
dust25–13-0.0010%4 May
anubis5–13-0.084%4 May
mirage9–10.0133%4 May
nuke3–9-0.1425%30 Apr
poseidon9–40.0628%30 Apr
sanctum6–9-0.0913%30 Apr
vertigo8–80.1330%30 Apr

Match data via Leetify.

Recent teammates

Milestones

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