Khouse1007

Khouse1007 — CS2 Stats

US76561199201076211[U:1:1240810483]Steam profile ↗✓ No bans

921Tracked matches67%Win rate2021Tracked since
CSDB Rating7.6 StrongPositional Player
Premier CS Rating15,685Purple band · top ~25.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (37 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: 15,685 -3,616 7 Feb – 8 Sept · 11 days played
14,59519,301peak 19,3017 Feb8 Sept
19,301Peak Premier in tracked matches
1,590Highest Faceit ELO seen on CSDB
65Days played since 2024-02-06

Faceit ELO

  • At peak — 1,590
  • Next: Level 9 at 1,751 — 161 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

Premier CS Rating

  • 3,616 below peak (19,301)
  • Next: Pink band at 20,000 — 4,315 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.

Share this profile

CSDB.GGKhouse1007PREMIER15,685 · Purple bandPEAK ELO1,590csdb.gg/stats

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Performance scores

Aim83
Positioning73
Utility58

0–100 skill scores via Leetify.

Recent form

HOT51–44–5Last 10051%Win rateWWLWWWLWWW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −3.2pp headshot accuracy · +19ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 16%
  • Avg reaction 586ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 576ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 566ms

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 Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim8.3
Utility5.8
Positioning7.3
Opening Duels7.2
Clutch3.6

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

jL

Plays most like jL 86% playstyle similarity

Most alike: positioning profile, 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

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 580ms 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

Aim8.3
Positioning7.3
Utility5.8
Mechanics7.4
Opening Duels6.5
Win Impact10.0

Composite 7.6/10 (Strong), 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 rating0.05+0.05
first ⅓ avg -0.00 → last ⅓ avg 0.05
Reaction time578ms−54ms
first ⅓ avg 632ms → last ⅓ avg 578ms
Headshot accuracy17.1%−0.1%
first ⅓ avg 17.3% → last ⅓ avg 17.1%

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

0.25Best match rating · 9–4 · vertigo, 11 May →
67%Best headshot accuracy · 13–7 · anubis, 1 Jun →
414msFastest reaction time · 8–8 · nuke, 14 Dec →
13–3Biggest win · mirage, 3 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
12–10In matches decided by ≤2 rounds
15Overtime games

Map breakdown

vertigoBest map · 75% over 12infernoWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB179–853%0.02
ancientA148–657%0.04
infernoC135–838%-0.01
dust2C125–742%0.01
vertigoS129–375%0.02
nukeB115–645%0.03
anubisA106–460%0.00
overpassC52–340%0.02
cache—42–250%0.08
train—20–20%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

223Matches
56%Win rate
1.20Avg K/D
83.5ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1833%0.9815.6
Dust21662%1.1317.9
Ancient1457%1.3818.4
Anubis1250%1.0015.9
Vertigo875%1.1617.0
Inferno520%0.7511.2
Cache560%1.3720.8
Nuke580%1.1818.0

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.

16.9%Headshot accuracy
39.8%Accuracy (enemy spotted)
39.6%Spray accuracy
83.5%Counter-strafing
8.4°Preaim
580msReaction time
60.3%T opening success
52.1%CT opening success
0.61Enemies flashed / flash
9.5%Flash assists
5.45HE damage / grenade
14.40Flashes / 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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–80.0217%8 Sept →
nuke13–60.0316%8 Sept →
nuke11–130.0315%8 Sept →
ancient13–100.0919%8 Sept →
mirage13–50.1613%8 Sept →
inferno13–80.1013%6 Sept →
anubis5–13-0.0125%6 Sept →
mirage13–40.0617%6 Sept →
inferno13–50.0426%4 Sept →
ancient13–110.0116%3 Sept →
dust211–130.0318%3 Sept →
nuke13–100.0322%3 Sept →
ancient13–100.0714%2 Sept →
cache13–40.1821%2 Sept →
nuke11–130.1016%2 Sept →
ancient0–60.0344%2 Sept →
nuke16–120.0820%2 Sept →
mirage13–50.0814%2 Sept →
cache11–13-0.0013%23 Aug →
dust29–13-0.0625%17 Jul →
inferno11–13-0.006%17 Jul →
cache13–110.0816%17 Jul →
anubis8–130.1015%17 Jul →
mirage13–10-0.0214%2 Jul →
dust212–160.0214%15 Jun →
mirage13–110.028%14 Jun →
overpass13–40.0815%13 Jun →
dust216–140.0915%19 May →
dust216–120.0822%19 May →
inferno13–110.0722%30 Apr →
cache10–130.0514%30 Apr →
overpass2–13-0.0714%11 Apr →
mirage4–13-0.046%4 Apr →
inferno6–9-0.1014%2 Apr →
inferno4–13-0.0419%2 Apr →
mirage11–13-0.0314%20 Feb →
mirage13–100.0525%7 Feb →
inferno9–13-0.0513%25 Jan →
ancient7–130.0728%24 Jan →
nuke7–13-0.018%28 Oct →
ancient9–13-0.028%23 Jun →
anubis13–80.0825%23 Jun →
anubis13–70.0416%19 Jun →
ancient9–13-0.0316%8 May →
mirage15–150.0512%23 Apr →
dust29–130.0014%22 Apr →
ancient13–100.0730%4 Apr →
nuke13–40.0824%4 Apr →
train15–150.0423%25 Mar →
mirage5–13-0.0219%25 Mar →
inferno11–13-0.0213%21 Feb →
nuke13–110.029%17 Feb →
dust213–110.0123%7 Feb →
ancient13–10-0.0121%30 Jan →
vertigo9–4-0.0225%30 Jan →
inferno8–8-0.0525%29 Jan →
mirage13–90.0629%21 Jan →
dust213–80.0125%21 Jan →
ancient10–130.0411%21 Jan →
anubis16–140.010%21 Jan →
anubis19–17-0.0118%21 Jan →
ancient16–19-0.0419%18 Dec →
ancient13–100.0320%16 Dec →
inferno9–60.1414%14 Dec →
nuke8–8-0.0326%14 Dec →
mirage13–160.0515%26 Nov →
vertigo7–00.1719%26 Nov →
ancient13–80.1014%26 Nov →
train8–13-0.0126%24 Nov →
mirage13–3-0.059%3 Nov →
vertigo13–40.0233%23 Oct →
anubis6–13-0.0321%27 Sept →
mirage7–13-0.0111%11 Aug →
anubis9–130.0112%11 Aug →
vertigo13–90.0114%30 Jul →
dust29–130.026%29 Jul →
mirage11–13-0.0413%23 Jul →
vertigo9–130.0213%18 Jul →
nuke13–16-0.0115%17 Jul →
vertigo13–7-0.049%14 Jul →
dust22–13-0.1020%11 Jul →
vertigo16–120.0119%10 Jul →
vertigo7–13-0.0714%16 Jun →
dust27–13-0.0411%10 Jun →
dust213–40.1010%9 Jun →
inferno3–9-0.1414%5 Jun →
anubis13–7-0.1467%1 Jun →
anubis16–140.0112%20 May →
vertigo9–7-0.0226%13 May →
inferno6–13-0.0614%13 May →
ancient13–30.1612%11 May →
vertigo9–40.2518%11 May →
nuke5–90.0419%11 May →
overpass2–9-0.1821%26 Apr →
inferno13–11-0.0414%28 Mar →
overpass9–00.1915%14 Feb →
mirage17–19-0.0418%13 Feb →
overpass15–150.0612%7 Feb →
vertigo9–6-0.0317%7 Feb →
vertigo11–13-0.0520%6 Feb →

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 →

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