Knitter In The House

Knitter In The House — CS2 Stats

CA76561197989592789[U:1:29327061]Steam profile ↗✓ No bans

508Tracked matches65%Win rate2025Tracked since
765Hours in CS30Hrs last 2 wks
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating6,703Light Blue band · top ~70.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (2 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: 6,703 +3,286 18 Aug – 14 Oct · 25 days played
3,4176,703peak 6,70318 Aug14 Oct
6,703Peak Premier in tracked matches
33Days played since 2026-08-17

Premier CS Rating

  • At peak — 6,703
  • +2,793 over 30 days · improving
  • Next: Blue band at 10,000 — 3,297 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches68——
Win rate51%——
K/D0.85——
Headshot %34%——

Measured 11 Sep 2026 → 16 Oct 2026; no observation near 60 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 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 rate39.5%39.9%42.0%2.5% short
Shot accuracy0.4%7.0%9.6%9.2% short
Kill/death ratio0.690.920.980.29 short
Match win rate42.6%42.3%43.8%1.2% short

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

Widest gap: Shot accuracy. 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.

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CSDB.GGKnitter In The HousePREMIER6,703 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim32
Positioning56
Utility54

0–100 skill scores via Leetify.

Recent form

HOT51–42–7Last 10051%Win rateWWLWTWWLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +1.2pp headshot accuracy · −81ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 8%
  • Avg reaction 572ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 614ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 655ms

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 (+0.9 against its own average).

Aim3.2
Utility5.4
Positioning5.6
Opening Duels3.1

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 60% 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. 626ms 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

Aim3.2
Positioning5.6
Utility5.4
Mechanics3.9
Opening Duels5.4
Win Impact10.0

Composite 4.5/10 (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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time644ms−10ms
first ⅓ avg 654ms → last ⅓ avg 644ms
Headshot accuracy8.9%−4.3%
first ⅓ avg 13.2% → last ⅓ avg 8.9%

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

0.12Best match rating · 13–4 · mirage, 19 Aug →
22%Best headshot accuracy · 13–4 · mirage, 22 Aug →
422msFastest reaction time · 8–9 · nuke, 29 Aug →
13–0Biggest win · cache, 8 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
7–6In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 60% over 30ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A3018–1260%-0.02
nukeA1810–856%-0.01
mirageB158–753%-0.02
infernoC125–742%-0.03
cacheC94–544%-0.03
anubisA74–357%-0.02
ancientC52–340%-0.02
vertigo—20–20%-0.06
office—10–10%-0.10
overpass—10–10%-0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,624Lifetime kills
0.69K/D
598Matches
42.6%Match win rate · Top 50% of Light Blue band
39.5%Headshot %
0.4%Shot accuracy
727MVPs
212Hours (in match)
548Bombs planted
60Bombs defused

Most-used weapons

Lifetime map wins

1,324dust2
806nuke
737inferno
192vertigo
97office
78train
17italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

8.9%Headshot accuracy
31.0%Accuracy (enemy spotted)
32.7%Spray accuracy
67.6%Counter-strafing
11.0°Preaim
626msReaction time
58.1%T opening success
45.2%CT opening success
0.57Enemies flashed / flash
7.0%Flash assists
11.19HE damage / grenade
8.85Flashes / 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 8.8531% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.039%14 Oct →
inferno13–11-0.0112%14 Oct →
dust23–13-0.155%14 Oct →
cache13–9-0.064%11 Oct →
dust212–120.0412%10 Oct →
inferno13–8-0.0211%10 Oct →
dust216–120.0713%10 Oct →
mirage5–13-0.0911%10 Oct →
anubis13–90.029%9 Oct →
cache13–30.0516%9 Oct →
nuke13–30.0316%8 Oct →
mirage12–7-0.107%8 Oct →
dust213–11-0.080%8 Oct →
mirage13–8-0.0110%8 Oct →
cache13–00.000%8 Oct →
dust213–90.0615%7 Oct →
nuke3–130.0210%6 Oct →
mirage1–12-0.0510%6 Oct →
inferno7–13-0.1312%4 Oct →
vertigo7–13-0.0610%4 Oct →
nuke12–120.027%4 Oct →
vertigo12–12-0.077%4 Oct →
anubis13–5-0.069%4 Oct →
inferno15–15-0.076%4 Oct →
mirage13–110.0310%4 Oct →
anubis9–13-0.037%3 Oct →
dust213–4-0.0314%3 Oct →
dust213–80.048%3 Oct →
ancient9–13-0.105%3 Oct →
anubis3–13-0.082%3 Oct →
mirage6–13-0.0810%3 Oct →
cache6–13-0.008%30 Sept →
inferno16–13-0.019%30 Sept →
dust210–13-0.0015%27 Sept →
dust213–10-0.0616%27 Sept →
nuke4–130.0312%27 Sept →
dust213–40.0214%27 Sept →
nuke12–12-0.015%27 Sept →
dust23–10-0.104%27 Sept →
cache9–13-0.032%26 Sept →
ancient13–7-0.006%26 Sept →
nuke13–4-0.0413%26 Sept →
nuke13–110.0211%26 Sept →
cache8–13-0.0817%26 Sept →
dust213–3-0.0514%26 Sept →
anubis13–30.027%26 Sept →
dust211–13-0.0015%25 Sept →
mirage13–2-0.003%25 Sept →
inferno13–7-0.014%25 Sept →
dust28–13-0.0411%20 Sept →
nuke13–10.0619%20 Sept →
mirage4–13-0.0314%20 Sept →
dust29–130.0213%19 Sept →
dust213–70.0515%19 Sept →
mirage14–16-0.0619%19 Sept →
nuke3–13-0.094%13 Sept →
dust25–13-0.0510%13 Sept →
dust213–30.019%12 Sept →
dust212–12-0.0712%12 Sept →
nuke7–13-0.0415%12 Sept →
nuke13–4-0.0318%12 Sept →
dust27–10.0314%12 Sept →
ancient4–13-0.029%12 Sept →
ancient13–7-0.0313%7 Sept →
nuke13–4-0.0421%7 Sept →
dust213–10-0.058%7 Sept →
dust213–6-0.0012%6 Sept →
mirage4–13-0.0814%5 Sept →
cache7–13-0.0817%5 Sept →
dust213–5-0.0514%4 Sept →
inferno2–13-0.0818%4 Sept →
inferno8–13-0.034%3 Sept →
nuke13–11-0.0317%2 Sept →
nuke13–30.0210%2 Sept →
anubis13–11-0.0311%2 Sept →
ancient8–130.0410%2 Sept →
dust211–13-0.0511%1 Sept →
mirage7–13-0.0115%30 Aug →
dust28–5-0.0410%30 Aug →
cache13–7-0.0312%29 Aug →
cache1–8-0.0011%29 Aug →
nuke7–13-0.0920%29 Aug →
nuke8–90.039%29 Aug →
inferno7–00.0220%23 Aug →
inferno7–13-0.039%23 Aug →
mirage13–40.0722%22 Aug →
dust23–13-0.0513%22 Aug →
dust27–13-0.1214%22 Aug →
anubis12–12-0.015%21 Aug →
dust213–40.0216%21 Aug →
inferno9–130.0422%21 Aug →
dust213–90.0118%21 Aug →
inferno11–13-0.009%21 Aug →
mirage13–80.027%21 Aug →
mirage13–60.0216%20 Aug →
dust213–90.0513%19 Aug →
mirage13–40.1215%19 Aug →
nuke7–13-0.0311%18 Aug →
office11–13-0.103%18 Aug →
overpass11–13-0.1120%17 Aug →

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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