♿Totalnutts™

♿Totalnutts™ — CS2 Stats

76561197991664050[U:1:31398322]Steam profile ↗✓ No bans

968Tracked matches59%Win rate2020Tracked since
5,901Hours in CS0Hrs last 2 wks
CSDB Rating5.8 SolidSupport
CSDB Leaderboard#27477 of 242782 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 968
−5.7ppWin rate · 64.3% → 58.6%
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. 36 days played since 30 Jul 2025. 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: 24,346 +5,789 9 Aug – 9 Sept · 12 days played
18,46124,374peak 24,3749 Aug9 Sept
24,702Peak Premier in tracked matches
36Days played since 2025-07-30

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 6 among CSDB-tracked players (n=12,275), 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 6 medianLevel 7 medianvs Level 7
Headshot rate47.6%44.8%45.7%above
Shot accuracy15.9%12.5%12.7%above
Kill/death ratio1.141.031.05above
Match win rate44.3%45.2%45.7%1.4% short

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG♿Totalnutts™FACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning48
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY51–41–8Last 10051%Win rateWWLLLWWLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +1.7pp headshot accuracy · +34ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 594ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 589ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 572ms

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 (+1.3 against its own average).

Aim6.9
Utility5.0
Positioning4.8
Opening Duels2.6
Clutch2.6

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

NiKo

Plays most like NiKo 94% 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. 591ms 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

Aim6.9
Positioning4.8
Utility5.0
Mechanics7.0
Opening Duels1.9
Win Impact7.9

Composite 5.8/10 (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+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time615ms+13ms
first ⅓ avg 602ms → last ⅓ avg 615ms
Headshot accuracy20.2%+0.3%
first ⅓ avg 19.9% → last ⅓ avg 20.2%

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

0.32Best match rating · 9–0 · inferno, 26 Jul →
50%Best headshot accuracy · 2–0 · dust2, 29 Jul →
359msFastest reaction time · 10–13 · ancient, 29 Jul →
13–1Biggest win · cache, 18 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 67% over 9ancientWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoA2212–1055%0.01
dust2B179–853%0.01
ancientC166–1038%-0.00
nukeA169–756%0.01
cacheS96–367%0.01
anubisA85–363%0.00
mirageC52–340%-0.05
vertigo—40–40%-0.06
overpass—32–167%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

168,564Lifetime kills
1.14K/D · Top 50% of Level 6 players
6,634Matches
44.3%Match win rate
47.6%Headshot % · Top 50% of Level 6 players
15.9%Shot accuracy · Top 25% of Level 6 players
30,357MVPs
2,761Hours (in match)
6,187Bombs planted
1,358Bombs defused

Most-used weapons

AK-4742,418
AWP21,825
SSG 084,200
Tec-93,691
P2503,210

Lifetime map wins

16,229inferno
10,886dust2
4,097nuke
2,663train
1,824cbble
894vertigo
78aztec
61office

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

Faceit stats

Combat

478Matches
52%Win rate
1.07Avg K/D
70.7ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient2065%0.9714.5
Inferno1963%1.0515.5
Nuke1867%1.1115.7
Anubis1741%0.8413.6
Dust21450%0.8815.7
Overpass1258%0.8614.8
Mirage729%0.8413.6
Cache786%0.8413.0

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.

19.2%Headshot accuracy
33.3%Accuracy (enemy spotted)
35.7%Spray accuracy
81.5%Counter-strafing
9.7°Preaim
591msReaction time
35.9%T opening success
39.5%CT opening success
0.61Enemies flashed / flash
2.6%Flash assists
6.83HE damage / grenade
6.69Flashes / 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. 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 35.8877% — below the 40% mark we flag

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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–50.0318%6 Sept →
ancient13–9-0.0117%6 Sept →
cache2–13-0.0344%3 Sept →
ancient7–130.0114%3 Sept →
nuke9–13-0.0231%29 Aug →
dust213–80.0421%28 Aug →
cache13–6-0.0024%22 Aug →
vertigo1–13-0.0120%10 Aug →
anubis13–90.0114%10 Aug →
inferno13–40.0316%9 Aug →
dust213–50.0417%9 Aug →
ancient6–13-0.0413%9 Aug →
anubis9–13-0.0626%9 Aug →
cache10–13-0.0311%6 Aug →
inferno13–40.0120%6 Aug →
dust211–130.0420%2 Aug →
ancient13–110.0718%2 Aug →
nuke10–13-0.0233%2 Aug →
nuke3–10.1527%2 Aug →
cache7–13-0.0415%1 Aug →
nuke15–15-0.0513%1 Aug →
inferno8–80.0224%1 Aug →
cache13–100.0718%31 Jul →
inferno6–9-0.0346%31 Jul →
nuke9–30.1910%31 Jul →
nuke9–50.0426%31 Jul →
vertigo5–9-0.1310%31 Jul →
vertigo3–90.0019%31 Jul →
anubis13–70.118%30 Jul →
dust213–9-0.0320%30 Jul →
ancient8–40.0514%30 Jul →
inferno13–60.0424%30 Jul →
nuke13–8-0.0118%30 Jul →
ancient10–130.0425%30 Jul →
nuke13–7-0.0723%30 Jul →
ancient10–13-0.049%29 Jul →
dust22–0-0.0250%29 Jul →
dust215–150.0634%29 Jul →
inferno8–80.0635%29 Jul →
nuke4–9-0.1213%29 Jul →
dust211–13-0.057%27 Jul →
ancient4–13-0.0912%27 Jul →
anubis13–5-0.0221%27 Jul →
nuke13–70.0415%27 Jul →
anubis15–150.0413%26 Jul →
ancient3–13-0.0714%26 Jul →
inferno0–9-0.250%26 Jul →
inferno9–00.3238%26 Jul →
inferno0–9-0.290%26 Jul →
overpass9–10.0114%26 Jul →
nuke9–20.1529%25 Jul →
nuke5–9-0.0826%25 Jul →
inferno9–0-0.020%25 Jul →
inferno3–90.0838%25 Jul →
inferno9–20.0528%25 Jul →
inferno9–70.0513%25 Jul →
vertigo8–8-0.0818%25 Jul →
inferno6–9-0.0538%25 Jul →
inferno4–90.0632%24 Jul →
inferno9–50.0241%24 Jul →
nuke9–50.0527%24 Jul →
inferno3–90.0339%24 Jul →
cache13–8-0.0217%21 Jul →
nuke1–13-0.010%21 Jul →
overpass7–90.0522%19 Jul →
nuke9–70.0323%19 Jul →
inferno9–7-0.0142%19 Jul →
ancient13–80.0821%18 Jul →
anubis13–90.0121%18 Jul →
dust26–13-0.0329%18 Jul →
cache13–10.1032%18 Jul →
nuke15–15-0.0129%18 Jul →
inferno16–13-0.0019%10 Jul →
anubis4–13-0.0813%10 Jul →
cache13–50.0123%10 Jul →
dust28–13-0.0228%4 Jul →
ancient16–140.0320%3 Jul →
ancient2–13-0.0811%2 Jul →
anubis13–8-0.0011%21 Jun →
inferno15–150.0025%21 Jun →
mirage2–13-0.1014%21 Jun →
dust213–110.0124%3 Jun →
inferno13–70.089%3 Jun →
dust27–13-0.0114%3 Apr →
ancient11–13-0.0121%1 Oct →
mirage13–8-0.0914%15 Sept →
overpass13–9-0.0439%15 Sept →
ancient8–13-0.029%13 Sept →
dust210–13-0.0618%23 Aug →
ancient10–130.0533%20 Aug →
dust212–30.0321%20 Aug →
mirage1–13-0.0824%9 Aug →
dust213–3-0.023%9 Aug →
dust213–60.0919%9 Aug →
mirage13–7-0.0217%2 Aug →
mirage8–130.0233%31 Jul →
dust210–13-0.0615%30 Jul →
ancient13–80.0114%30 Jul →
inferno13–6-0.0011%30 Jul →
dust213–70.1021%30 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 →