Nut-Khatta Motherman♿♪☺⛟

Nut-Khatta Motherman♿♪☺⛟ — CS2 Stats

IN76561198970169476[U:1:1009903748]Steam profile ↗✓ No bans

1,208Tracked matches48%Win rate2021Tracked since
2,661Hours in CS16Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
Premier CS Rating17,721Purple band · top ~17.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 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: 17,721 +788 26 Jul – 11 Nov · 41 days played
15,00019,390peak 19,39026 Jul11 Nov
19,541Peak Premier in tracked matches
42Days played since 2026-07-26

Premier CS Rating

  • 1,669 below peak (19,390)
  • +2,193 over 30 days · improving
  • +384 over 90 days
  • Next: Pink band at 20,000 — 2,279 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-10-08
  • Blue band first seen 2026-10-08

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.5%44.4%46.9%4.4% short
Shot accuracy12.6%11.9%13.0%0.4% short
Kill/death ratio1.041.031.080.04 short
Match win rate53.9%45.2%46.7%above

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

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

Share this profile

CSDB.GGNut-Khatta Motherman♿♪☺⛟PREMIER17,721 · Purple 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

Aim58
Positioning73
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateTWLWWWLTLL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −5.8pp headshot accuracy · +58ms reaction

Win rate up 20pp 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 622ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 605ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 576ms

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 (+2.4 against its own average).

Aim5.8
Utility6.4
Positioning7.3
Opening Duels5.9
Clutch0.0

Strong CT-side opener

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 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

Strengths

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 572ms 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

Aim5.8
Positioning7.3
Utility6.4
Mechanics5.5
Opening Duels8.0
Win Impact4.4

Composite 6.2/10 (Solid), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time564ms−20ms
first ⅓ avg 584ms → last ⅓ avg 564ms
Headshot accuracy17.1%+1.1%
first ⅓ avg 16.1% → 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

0.14Best match rating · 13–3 · mirage, 12 Sept →
38%Best headshot accuracy · 13–6 · inferno, 12 Oct →
406msFastest reaction time · 13–8 · ancient, 12 Aug →
13–2Biggest win · inferno, 16 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 73% over 11anubisWeakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
infernoA2715–1256%0.01
anubisD174–1324%-0.02
ancientB178–947%0.01
mirageB158–753%0.05
dust2S118–373%0.02
nukeD72–529%-0.00
cacheB63–350%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,960Lifetime kills
1.04K/D · Top 50% of Purple band
6,992Matches
53.9%Match win rate · Top 10% of Purple band
42.5%Headshot %
12.6%Shot accuracy · Top 50% of Purple band
6,785MVPs
1,706Hours (in match)
1,734Bombs planted
477Bombs defused

Most-used weapons

AK-4732,110
AWP16,478
SSG 083,779
FAMAS1,716
Knife1,398

Lifetime map wins

7,016dust2
6,499inferno
3,212nuke
983train
219vertigo
67office
53ar_shoots
41safehouse

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

Faceit stats

Combat

7Matches
71%Win rate
0.97Avg K/D
81.9ADR
53%Headshot %

Clutches & streaks

14%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage367%1.2116.7
Dust23100%0.7413.7
Inferno10%0.9417.0

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.

16.0%Headshot accuracy
32.5%Accuracy (enemy spotted)
34.3%Spray accuracy
74.7%Counter-strafing
10.2°Preaim
572msReaction time
58.9%T opening success
64.8%CT opening success
0.63Enemies flashed / flash
6.9%Flash assists
10.07HE damage / grenade
14.19Flashes / match

Recommended for you

Spend your practice time on Anubis

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

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage15–150.0110%11 Nov →
inferno13–110.0617%11 Nov →
nuke13–16-0.038%9 Nov →
inferno12–6-0.049%9 Nov →
mirage16–12-0.0211%6 Nov →
anubis13–9-0.028%6 Nov →
anubis9–13-0.076%2 Nov →
ancient15–150.0113%2 Nov →
ancient3–130.0126%2 Nov →
anubis11–130.028%2 Nov →
anubis4–13-0.0321%2 Nov →
anubis13–110.0215%2 Nov →
mirage7–130.0124%1 Nov →
cache11–130.0218%31 Oct →
ancient8–130.0114%31 Oct →
nuke9–130.0014%28 Oct →
ancient10–130.0217%26 Oct →
ancient10–130.0323%25 Oct →
inferno13–50.019%25 Oct →
dust29–13-0.0219%24 Oct →
anubis15–15-0.0317%23 Oct →
cache16–130.0919%23 Oct →
mirage13–90.0320%23 Oct →
ancient7–13-0.0417%23 Oct →
inferno11–13-0.0219%23 Oct →
nuke13–60.1125%22 Oct →
dust213–80.0914%22 Oct →
dust213–60.0221%22 Oct →
dust213–90.0324%21 Oct →
mirage13–70.0223%21 Oct →
ancient13–80.0429%18 Oct →
mirage13–100.0816%18 Oct →
mirage8–130.0529%18 Oct →
inferno13–20.0820%16 Oct →
inferno13–60.0219%16 Oct →
nuke13–7-0.0414%16 Oct →
ancient13–90.0832%16 Oct →
inferno13–60.0038%12 Oct →
dust213–9-0.0312%12 Oct →
cache4–13-0.0823%5 Oct →
inferno6–13-0.0116%5 Oct →
mirage6–13-0.0016%4 Oct →
cache13–80.1123%4 Oct →
dust211–13-0.0120%4 Oct →
anubis2–13-0.0711%4 Oct →
inferno13–10-0.0116%4 Oct →
ancient13–110.0218%30 Sept →
inferno10–13-0.036%30 Sept →
nuke14–160.0219%23 Sept →
anubis11–130.0721%22 Sept →
inferno3–130.0022%12 Sept →
mirage13–30.1421%12 Sept →
inferno4–13-0.0525%2 Sept →
anubis10–130.0322%31 Aug →
ancient13–160.0111%31 Aug →
dust213–90.0724%31 Aug →
anubis7–13-0.0411%30 Aug →
cache13–11-0.0022%29 Aug →
inferno13–11-0.0218%28 Aug →
dust213–7-0.0224%28 Aug →
cache9–13-0.0115%28 Aug →
mirage13–60.1315%28 Aug →
dust28–130.0319%23 Aug →
anubis13–50.0613%23 Aug →
mirage13–110.1319%18 Aug →
anubis3–13-0.114%17 Aug →
inferno13–110.0414%17 Aug →
inferno3–13-0.0011%13 Aug →
inferno6–130.0524%13 Aug →
ancient13–8-0.0416%12 Aug →
inferno13–100.0616%12 Aug →
mirage4–130.0326%12 Aug →
anubis10–13-0.0716%11 Aug →
ancient13–3-0.0611%9 Aug →
mirage11–130.0016%9 Aug →
inferno10–130.017%9 Aug →
anubis6–13-0.0721%9 Aug →
inferno13–80.1014%9 Aug →
anubis13–3-0.0118%8 Aug →
inferno9–130.0011%5 Aug →
ancient0–13-0.066%5 Aug →
mirage5–130.0614%4 Aug →
ancient13–70.0915%3 Aug →
inferno5–10.0935%3 Aug →
inferno7–130.0414%3 Aug →
ancient13–5-0.0013%3 Aug →
inferno13–70.0810%3 Aug →
dust213–60.0718%3 Aug →
ancient2–13-0.0034%2 Aug →
inferno11–13-0.027%2 Aug →
nuke4–13-0.0514%2 Aug →
inferno4–13-0.1213%31 Jul →
anubis9–13-0.0013%31 Jul →
mirage13–80.0222%31 Jul →
inferno13–9-0.0015%31 Jul →
dust213–7-0.0121%31 Jul →
inferno16–13-0.0123%27 Jul →
nuke1–13-0.046%26 Jul →
ancient13–3-0.0213%26 Jul →
anubis8–130.0219%26 Jul →

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 →

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