KingGrichers (from warframe)

KingGrichers (from warframe) — CS2 Stats

DE76561198132327117[U:1:172061389]Steam profile ↗✓ No bans

1,705Tracked matches54%Win rate2020Tracked since
2,267Hours in CS
CSDB Rating7.0 StrongPositional Player
Premier CS Rating21,402Top 50% of 185,711 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)
CSDB Leaderboard#58893 of 232900 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Aug 2026 (24 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.

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. 40 days played since 29 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 21,402 +683 29 Jun27 Aug · 28 days played
19,61222,314peak 22,31429 Jun27 Aug
22,557Peak Premier in tracked matches
40Days played since 2026-06-29

Premier CS Rating

  • 912 below peak (22,314)
  • +1,790 over 30 days · improving
  • Next: Red band at 25,000 3,598 to go
  • Reached: Pink band · 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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=36,987), 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 playerPink band medianRed band medianvs Red band
Headshot rate43.8%46.9%49.2%5.4% short
Shot accuracy11.8%13.0%13.4%1.6% short
Kill/death ratio1.141.081.12meets
Match win rate43.5%46.7%48.5%4.9% short

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

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

Share this profile

CSDB.GGKingGrichers (from warfra…PREMIER21,402 · Pink bandcsdb.gg/stats

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Performance scores

Aim86
Positioning67
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY54406Last 10054%Win rateLWLTLLWLWW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −1.5pp headshot accuracy · −38ms 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

  • 131 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 492ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 520ms

Last 20

  • 9101 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 539ms

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 (+1.8 against its own average).

Aim8.6
Utility5.1
Positioning6.7
Opening Duels6.0
Clutch1.6

Sharp aimer

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

s1mple

Plays most like s1mple 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 59% on CT to 44% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.6
Positioning6.7
Utility5.1
Mechanics7.0
Opening Duels5.3
Win Impact6.2

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time550ms−58ms
first ⅓ avg 608ms → last ⅓ avg 550ms
Headshot accuracy21.7%−0.1%
first ⅓ avg 21.7% → last ⅓ avg 21.7%

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

0.14Best match rating · 13–5 · inferno, 11 Aug
46%Best headshot accuracy · 13–10 · inferno, 24 Aug
383msFastest reaction time · 9–13 · inferno, 26 Aug
13–1Biggest win · inferno, 9 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
913In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 86% over 14infernoWeakest map · 42% over 31
MapGradePlayedRecordWin rateAvg rating
infernoC31131842%0.01
mirageA159660%-0.00
anubisS1412286%0.01
ancientA116555%0.04
dust2A95456%0.01
cacheC73443%0.03
nuke42250%-0.01
train220100%0.01
fachwerk21150%-0.00
overpass2020%0.02
vertigo1010%0.06
boulder110100%-0.03
shelter1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 31). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,021Lifetime kills
1.14K/D · Top 50% of Pink band
4,862Matches
43.5%Match win rate
43.8%Headshot %
11.8%Shot accuracy
11,166MVPs
2,267Hours (in match)
3,740Bombs planted
1,202Bombs defused

Most-used weapons

AK-4733,934
AWP14,229
P2502,915
FAMAS1,746
Tec-91,651

Lifetime map wins

15,760inferno
5,117dust2
1,670nuke
1,451vertigo
1,069train
440cbble
263office
145italy

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

Faceit stats

Combat

60Matches
57%Win rate
1.31Avg K/D
87.2ADR
47%Headshot %

Clutches & streaks

28%1v1 clutch win
43%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1968%1.5818.2
Ancient1030%1.0515.7
Anubis1090%1.3217.6
Mirage743%0.9617.3
Vertigo250%1.4219.0
Dust220%0.6911.5
Nuke2100%2.4217.5
Train1100%1.3619.0

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.

21.8%Headshot accuracy
34.9%Accuracy (enemy spotted)
37.4%Spray accuracy
81.4%Counter-strafing
6.4°Preaim
544msReaction time
43.6%T opening success
59.0%CT opening success
0.56Enemies flashed / flash
3.6%Flash assists
7.43HE damage / grenade
10.19Flashes / match

Recommended for you

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.

42% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage0–13-0.100%27 Aug
anubis13–11-0.0410%26 Aug
inferno9–13-0.0730%26 Aug
inferno15–15-0.0424%25 Aug
mirage14–160.0624%25 Aug
inferno11–130.0022%25 Aug
ancient16–140.0721%25 Aug
cache8–130.0517%25 Aug
nuke13–6-0.0516%25 Aug
inferno13–100.0746%24 Aug
inferno7–130.0213%24 Aug
anubis11–130.0136%24 Aug
cache14–160.0815%23 Aug
mirage13–70.0220%23 Aug
inferno13–90.0326%23 Aug
cache13–100.1128%23 Aug
ancient11–13-0.0516%23 Aug
anubis13–80.0421%22 Aug
mirage11–13-0.0119%22 Aug
mirage13–7-0.0128%21 Aug
cache13–80.0623%21 Aug
inferno3–5-0.0027%21 Aug
anubis13–100.1028%20 Aug
anubis13–110.0622%20 Aug
dust210–130.0423%19 Aug
train13–10-0.0216%15 Aug
inferno11–130.0519%14 Aug
inferno13–4-0.0024%13 Aug
inferno13–100.0218%13 Aug
inferno15–150.0119%12 Aug
inferno10–130.0622%12 Aug
mirage13–11-0.0231%11 Aug
dust213–6-0.0012%11 Aug
inferno13–50.1422%11 Aug
inferno14–16-0.0221%10 Aug
inferno13–7-0.0318%10 Aug
nuke10–130.0622%10 Aug
mirage13–90.0114%9 Aug
inferno13–10.0538%9 Aug
cache13–60.0223%9 Aug
anubis13–100.0613%9 Aug
inferno9–130.0416%7 Aug
anubis13–100.0411%7 Aug
mirage2–13-0.0119%7 Aug
anubis13–10-0.0012%7 Aug
nuke13–9-0.0013%6 Aug
ancient5–130.0527%6 Aug
nuke8–13-0.0411%5 Aug
ancient11–130.0414%5 Aug
mirage9–13-0.0021%4 Aug
ancient13–90.0518%4 Aug
inferno8–13-0.0123%2 Aug
ancient13–80.0515%2 Aug
inferno13–8-0.0111%1 Aug
fachwerk13–10-0.0124%31 Jul
fachwerk10–130.0027%31 Jul
inferno12–120.0116%28 Jul
inferno13–100.0421%28 Jul
dust213–80.0520%28 Jul
anubis13–7-0.054%25 Jul
cache10–13-0.0220%25 Jul
inferno13–70.0535%25 Jul
anubis11–13-0.0023%24 Jul
mirage13–90.0617%24 Jul
inferno9–130.0118%23 Jul
inferno13–11-0.0217%23 Jul
vertigo5–130.0625%23 Jul
train13–80.0423%23 Jul
cache3–13-0.0636%21 Jul
inferno11–13-0.0131%21 Jul
dust25–13-0.047%18 Jul
dust213–90.0418%17 Jul
ancient6–130.0227%17 Jul
anubis13–110.0528%16 Jul
anubis13–11-0.0412%16 Jul
boulder13–10-0.0336%13 Jul
shelter12–12-0.0224%13 Jul
inferno3–13-0.0211%9 Jul
overpass13–160.0117%5 Jul
dust24–13-0.0325%5 Jul
dust213–80.0820%5 Jul
anubis13–11-0.0528%4 Jul
ancient15–150.0128%4 Jul
dust211–13-0.038%3 Jul
ancient13–50.0720%3 Jul
inferno8–13-0.0020%2 Jul
mirage13–10-0.0322%2 Jul
inferno15–15-0.0125%2 Jul
mirage13–6-0.0220%1 Jul
mirage13–10-0.0227%1 Jul
overpass10–130.0415%30 Jun
inferno13–70.0329%30 Jun
ancient13–40.0113%30 Jun
dust213–110.0116%30 Jun
inferno13–90.0826%30 Jun
mirage9–13-0.0220%30 Jun
anubis13–90.0112%29 Jun
mirage16–130.0619%29 Jun
inferno6–130.0025%29 Jun
ancient13–60.0831%29 Jun

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 →