IchMagKetchup

IchMagKetchup — CS2 Stats

DE76561198420950985[U:1:460685257]Steam profile ↗✓ No bans

855Tracked matches47%Win rate2024Tracked since
1,011Hours in CS1Hrs last 2 wks
CSDB Rating4.1 DevelopingSupport
Premier CS Rating9,449Light Blue band · top ~57.5% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (15 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: 9,449 +4,450 15 Aug – 16 Oct · 13 days played
4,99911,199peak 11,19915 Aug16 Oct
11,199Peak Premier in tracked matches
33Days played since 2025-07-28

Premier CS Rating

  • 1,750 below peak (11,199)
  • -551 over 30 days · declining
  • Next: Blue band at 10,000 — 551 to go
  • Reached: Blue band · 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 Level 4 among CSDB-tracked players (n=14,630), 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 playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate41.3%42.7%43.8%2.5% short
Shot accuracy0.2%11.2%12.0%11.8% short
Kill/death ratio1.270.991.02above
Match win rate48.1%43.9%44.7%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGIchMagKetchupFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,449 · Light Blue 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

Aim51
Positioning48
Utility54

0–100 skill scores via Leetify.

Recent form

COLD51–43–6Last 10051%Win rateLLLLWWWLLL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −3.7pp headshot accuracy · −15ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 9%
  • Avg reaction 589ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 581ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 589ms

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 (+1.1 against its own average).

Aim5.1
Utility5.4
Positioning4.8
Opening Duels2.1
Clutch5.0

Effective flashes

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 78% 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. 585ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.1
Positioning4.8
Utility5.4
Mechanics3.9
Opening Duels2.3
Win Impact3.9

Composite 4.1/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time585ms−48ms
first ⅓ avg 633ms → last ⅓ avg 585ms
Headshot accuracy11.5%−0.9%
first ⅓ avg 12.5% → last ⅓ avg 11.5%

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.

Personal bests

0.18Best match rating · 9–2 · inferno, 28 Jul →
38%Best headshot accuracy · 5–9 · inferno, 30 Jul →
406msFastest reaction time · 7–1 · nuke, 16 Aug →
13–1Biggest win · dust2, 16 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L4Current streak
11–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

vertigoBest map · 100% over 5cacheWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2313–1057%0.00
infernoB209–1145%-0.00
dust2C177–1041%0.02
nukeC125–742%-0.01
cacheC83–538%-0.04
ancientA74–357%0.02
anubisB63–350%0.02
vertigoS55–0100%0.04
dogtown—11–0100%0.01
brewery—11–0100%0.04

Across the last 100 tracked matches.

Lifetime stats

24,962Lifetime kills
1.27K/D · Top 25% of Level 4 players
1,427Matches
48.1%Match win rate · Top 25% of Level 4 players
41.3%Headshot %
0.2%Shot accuracy
3,244MVPs
573Hours (in match)
1,581Bombs planted
534Bombs defused

Most-used weapons

Lifetime map wins

2,592inferno
2,435vertigo
1,708dust2
1,090nuke
569office
140train
64italy
14lake

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

Faceit stats

Combat

42Matches
52%Win rate
1.03Avg K/D
80.5ADR
30%Headshot %

Clutches & streaks

45%1v1 clutch win
32%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1338%0.7211.7
Vertigo1155%1.0715.6
Inferno1060%1.0615.4
Dust2450%0.9414.0
Nuke2100%2.8322.5
Train10%1.1317.0
Anubis1100%0.7613.0

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.

11.4%Headshot accuracy
33.8%Accuracy (enemy spotted)
36.2%Spray accuracy
67.8%Counter-strafing
9.5°Preaim
585msReaction time
35.8%T opening success
42.3%CT opening success
0.75Enemies flashed / flash
3.3%Flash assists
9.88HE damage / grenade
9.46Flashes / 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. 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 11.4063% — below the 15% mark we flag

    Aim Training →
  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 35.808% — below the 40% mark we flag

Spend your practice time on Cache

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno4–90.090%20 Oct →
anubis8–13-0.0227%20 Oct →
mirage7–13-0.043%16 Oct →
inferno5–130.0510%2 Oct →
inferno13–7-0.067%27 Sept →
inferno13–110.099%25 Sept →
mirage13–110.035%24 Sept →
cache5–13-0.088%24 Sept →
inferno3–13-0.0014%24 Sept →
mirage7–130.0612%24 Sept →
dust27–130.0210%24 Sept →
vertigo13–30.0410%24 Sept →
vertigo13–11-0.0115%23 Sept →
vertigo13–100.0212%23 Sept →
vertigo13–30.1120%23 Sept →
mirage13–7-0.0211%23 Sept →
mirage13–50.0622%22 Sept →
inferno13–2-0.0113%22 Sept →
anubis10–130.039%22 Sept →
dust28–13-0.0311%22 Sept →
mirage13–110.0110%22 Sept →
ancient2–13-0.0412%22 Sept →
dust27–130.0214%21 Sept →
inferno9–13-0.0116%19 Sept →
nuke16–12-0.036%19 Sept →
anubis11–130.0110%19 Sept →
mirage10–13-0.0412%19 Sept →
nuke11–13-0.058%19 Sept →
dust210–13-0.0115%10 Sept →
dust213–11-0.0310%7 Sept →
ancient13–60.027%7 Sept →
nuke13–5-0.0424%7 Sept →
cache8–13-0.079%7 Sept →
anubis13–3-0.008%7 Sept →
ancient2–13-0.0117%7 Sept →
inferno13–4-0.043%6 Sept →
nuke13–40.0910%6 Sept →
mirage15–150.026%6 Sept →
dust24–130.0111%6 Sept →
cache13–110.0218%6 Sept →
ancient13–40.0620%1 Sept →
dust213–70.0012%1 Sept →
anubis13–40.0110%31 Aug →
mirage16–140.048%31 Aug →
mirage13–11-0.059%22 Aug →
dust213–20.0521%22 Aug →
inferno15–150.0016%22 Aug →
cache4–13-0.100%22 Aug →
mirage13–70.037%22 Aug →
dust213–100.094%19 Aug →
inferno13–9-0.068%17 Aug →
cache13–70.019%17 Aug →
nuke7–10.100%16 Aug →
dust213–10.0321%16 Aug →
mirage13–50.0415%16 Aug →
dust213–100.0614%15 Aug →
mirage13–100.0110%15 Aug →
mirage7–13-0.0312%15 Aug →
inferno13–3-0.0111%15 Aug →
mirage13–11-0.0111%15 Aug →
dust29–13-0.0121%13 Aug →
ancient13–90.105%13 Aug →
nuke4–13-0.059%13 Aug →
inferno13–11-0.0311%13 Aug →
ancient11–130.078%9 Aug →
mirage16–120.0514%9 Aug →
ancient13–9-0.058%9 Aug →
dust215–15-0.016%9 Aug →
mirage13–4-0.0110%9 Aug →
nuke7–13-0.0113%8 Aug →
anubis13–40.077%8 Aug →
cache14–16-0.078%5 Aug →
dust29–130.0018%5 Aug →
nuke13–16-0.035%5 Aug →
inferno11–13-0.0410%30 Jul →
cache10–13-0.0017%30 Jul →
dust213–60.054%30 Jul →
mirage10–13-0.0015%30 Jul →
dust214–160.019%30 Jul →
cache13–11-0.0510%25 Jul →
dust26–130.0512%25 Jul →
inferno12–12-0.023%1 Feb →
inferno5–9-0.0914%24 Aug →
mirage7–120.0317%14 Aug →
mirage13–9-0.0013%14 Aug →
dogtown9–30.0127%2 Aug →
brewery9–40.044%2 Aug →
vertigo13–100.0313%31 Jul →
mirage0–9-0.0533%31 Jul →
nuke12–120.0316%31 Jul →
nuke13–5-0.018%31 Jul →
nuke10–13-0.077%31 Jul →
mirage10–13-0.0412%30 Jul →
inferno5–90.0438%30 Jul →
mirage12–12-0.042%30 Jul →
nuke6–13-0.0714%30 Jul →
inferno13–8-0.0712%30 Jul →
inferno8–13-0.086%28 Jul →
inferno6–130.0211%28 Jul →
inferno9–20.1819%28 Jul →

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 →

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