ketchup4sale

ketchup4sale — CS2 Stats

GB76561198025216273[U:1:64950545]Steam profile ↗✓ No bans

2,070Tracked matches62%Win rate2021Tracked since
2,589Hours in CS2Hrs last 2 wks
CSDB Rating2.4 LearningSupport
Premier CS Rating7,752Light Blue band · top ~65.6% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Sep 2025 (397 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 7,752 +2,422 4 Aug – 12 Sept · 16 days played
5,2678,094peak 8,0944 Aug12 Sept
8,094Peak Premier in tracked matches
31Days played since 2025-08-04

Premier CS Rating

  • 342 below peak (8,094)
  • +2,033 over 30 days · improving
  • Next: Blue band at 10,000 — 2,248 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate31.1%39.9%42.0%10.9% short
Shot accuracy9.0%7.0%9.6%0.6% short
Kill/death ratio0.850.920.980.12 short
Match win rate38.4%42.3%43.8%5.4% short

This profile sits below the typical Blue band player on every metric we can compare.

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

Share this profile

CSDB.GGketchup4salePREMIER7,752 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim12
Positioning23
Utility34

0–100 skill scores via Leetify.

Recent form

COLD50–46–4Last 10050%Win rateLLLLLLLLWL

Last 10 vs previous 10: −60pp win rate · −0.01 avg rating · −1.5pp headshot accuracy · +81ms reaction

Win rate down 60pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 7%
  • Avg reaction 841ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 8%
  • Avg reaction 774ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 9%
  • Avg reaction 733ms

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 against its own average).

Aim1.2
Utility3.4
Positioning2.3
Opening Duels0.0
Clutch0.0

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 64% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 684ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim1.2
Positioning2.3
Utility3.4
Mechanics2.7
Opening Duels0.0
Win Impact9.0

Composite 2.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time711ms−34ms
first ⅓ avg 745ms → last ⅓ avg 711ms
Headshot accuracy10.0%−1.8%
first ⅓ avg 11.7% → last ⅓ avg 10.0%

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

0.18Best match rating · 9–3 · inferno, 27 Aug →
40%Best headshot accuracy · 9–4 · nuke, 20 Aug →
469msFastest reaction time · 9–4 · inferno, 25 Aug →
13–1Biggest win · grail, 26 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L8Current streak
1–12In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 63% over 8dust2Weakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC5223–2944%-0.02
mirageA127–558%-0.04
nukeA85–363%-0.02
ancientA85–363%-0.04
dust2C73–443%-0.03
anubis—42–250%-0.04
train—32–167%-0.03
office—21–150%-0.02
grail—21–150%-0.02
overpass—10–10%-0.11
agency—11–0100%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,934Lifetime kills
0.85K/D
4,573Matches
38.4%Match win rate
31.1%Headshot %
9.0%Shot accuracy · Top 50% of Light Blue band
8,209MVPs
1,414Hours (in match)
4,517Bombs planted
732Bombs defused

Most-used weapons

AK-4713,314
FAMAS5,303
AWP1,845
MP9991
MP7497

Lifetime map wins

4,243dust2
4,044inferno
3,082nuke
2,693vertigo
1,852office
846train
443lake
313cbble

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

Faceit stats

Combat

2Matches
50%Win rate
0.82Avg K/D
77.3ADR
42%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke10%0.7110.0
Mirage1100%0.9212.0

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.

9.2%Headshot accuracy
28.4%Accuracy (enemy spotted)
27.0%Spray accuracy
62.3%Counter-strafing
14.2°Preaim
684msReaction time
15.3%T opening success
16.1%CT opening success
0.53Enemies flashed / flash
3.0%Flash assists
5.55HE damage / grenade
5.65Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.1904° — above the 12° mark we flag

    Aim Training →
  2. 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 9.2094% — 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 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.046%19 Nov →
nuke10–13-0.026%14 Nov →
office7–13-0.0315%14 Nov →
inferno6–9-0.156%23 Sept →
inferno5–9-0.040%22 Sept →
inferno7–90.036%22 Sept →
overpass8–13-0.1114%12 Sept →
inferno4–9-0.088%8 Sept →
inferno13–30.0311%8 Sept →
inferno3–9-0.087%7 Sept →
inferno7–9-0.080%7 Sept →
nuke13–30.010%6 Sept →
mirage13–9-0.035%6 Sept →
inferno6–9-0.0516%4 Sept →
ancient11–13-0.0714%3 Sept →
nuke13–6-0.066%3 Sept →
inferno9–6-0.0417%1 Sept →
inferno9–60.1217%1 Sept →
inferno9–7-0.1017%1 Sept →
inferno9–5-0.084%1 Sept →
inferno9–30.039%1 Sept →
mirage13–10-0.038%1 Sept →
ancient13–8-0.0222%1 Sept →
grail3–13-0.056%31 Aug →
mirage1–13-0.0811%31 Aug →
inferno2–9-0.100%31 Aug →
inferno9–20.097%31 Aug →
inferno3–9-0.2519%31 Aug →
inferno3–9-0.0214%31 Aug →
ancient16–13-0.0222%31 Aug →
inferno6–90.0015%29 Aug →
inferno3–9-0.204%28 Aug →
inferno9–30.1317%27 Aug →
inferno9–30.1821%27 Aug →
inferno9–50.0116%27 Aug →
inferno8–8-0.006%27 Aug →
inferno9–10.0714%27 Aug →
inferno6–9-0.0625%27 Aug →
inferno2–9-0.089%27 Aug →
inferno9–50.118%27 Aug →
office13–10-0.017%26 Aug →
train13–10-0.029%26 Aug →
grail13–10.0012%26 Aug →
anubis6–13-0.0410%26 Aug →
inferno7–9-0.0511%26 Aug →
inferno9–20.0111%26 Aug →
inferno6–9-0.043%26 Aug →
inferno7–9-0.0312%26 Aug →
inferno7–9-0.0715%26 Aug →
inferno9–2-0.100%25 Aug →
inferno9–30.1810%25 Aug →
inferno9–4-0.059%25 Aug →
inferno9–40.0616%25 Aug →
inferno4–9-0.0315%24 Aug →
inferno8–8-0.020%24 Aug →
dust215–15-0.066%24 Aug →
nuke8–13-0.095%24 Aug →
inferno14–16-0.075%24 Aug →
anubis13–9-0.055%23 Aug →
inferno13–80.046%23 Aug →
inferno13–2-0.0313%21 Aug →
mirage13–6-0.067%21 Aug →
inferno9–6-0.0813%21 Aug →
mirage13–60.0511%20 Aug →
anubis7–13-0.068%20 Aug →
mirage13–10-0.079%20 Aug →
nuke9–40.0340%20 Aug →
train13–5-0.0013%19 Aug →
mirage13–10-0.056%14 Aug →
mirage11–13-0.0511%12 Aug →
train2–13-0.076%12 Aug →
inferno5–9-0.088%11 Aug →
inferno11–13-0.0211%11 Aug →
nuke13–9-0.0112%11 Aug →
dust212–12-0.0311%10 Aug →
inferno10–13-0.1018%10 Aug →
agency13–7-0.065%10 Aug →
dust28–13-0.0713%9 Aug →
nuke13–20.0212%9 Aug →
ancient13–10-0.0216%8 Aug →
dust213–70.0011%8 Aug →
ancient13–9-0.047%8 Aug →
nuke11–13-0.0320%6 Aug →
dust24–13-0.0712%6 Aug →
ancient11–13-0.0013%6 Aug →
dust213–8-0.0312%6 Aug →
mirage8–13-0.0720%6 Aug →
mirage10–13-0.048%5 Aug →
inferno13–7-0.0417%5 Aug →
inferno13–100.0311%5 Aug →
mirage13–100.0613%5 Aug →
ancient13–9-0.0417%5 Aug →
inferno4–13-0.0610%5 Aug →
ancient14–16-0.086%4 Aug →
mirage5–13-0.068%4 Aug →
inferno13–60.0410%4 Aug →
inferno6–13-0.0410%4 Aug →
dust213–70.0421%4 Aug →
inferno8–130.0310%4 Aug →
anubis13–9-0.009%4 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.