ツNutz

ツNutz — CS2 Stats

76561199294193326[U:1:1333927598]Steam profile ↗✓ No bans

198Tracked matches63%Win rate2025Tracked since
CSDB Rating7.3 StrongOpening Duellist
Ladder ranks via Leetify

Performance scores

Aim83
Positioning60
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateLWWLLLWWLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +7.7pp headshot accuracy · −70ms reaction

Win rate 0pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 525ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 545ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 580ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.3
Utility6.5
Positioning6.0
Opening Duels7.8

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

s1mple

Plays most like s1mple 83% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning 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. 70% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 70% on CT to 43% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 567ms 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
Positioning6.0
Utility6.5
Mechanics7.0
Opening Duels6.6
Win Impact9.4

Composite 7.3/10 (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 rating0.04+0.00
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time572ms−24ms
first ⅓ avg 595ms → last ⅓ avg 572ms
Headshot accuracy23.0%+1.7%
first ⅓ avg 21.3% → last ⅓ avg 23.0%

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

0.22Best match rating · 13–3 · vertigo, 21 Jul →
57%Best headshot accuracy · 4–3 · mirage, 5 Sept →
391msFastest reaction time · 3–13 · anubis, 5 Sept →
13–0Biggest win · nuke, 7 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–3In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 73% over 15dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA2313–1057%0.05
cacheS1511–473%0.05
infernoA116–555%0.02
anubisC104–640%0.07
mirageA95–456%0.04
vertigoA85–363%0.05
dust2D61–517%0.01
office—42–250%-0.01
ancient—32–167%0.01
train—31–233%-0.01
warden—21–150%0.01
alpine—22–0100%0.02
overpass—22–0100%0.11
stronghold—10–10%-0.03
italy—11–0100%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

21.5%Headshot accuracy
37.6%Accuracy (enemy spotted)
44.2%Spray accuracy
81.6%Counter-strafing
10.2°Preaim
567msReaction time
43.0%T opening success
70.4%CT opening success
0.56Enemies flashed / flash
14.4%Flash assists
10.60HE damage / grenade
10.65Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–130.0323%22 Oct →
cache13–60.0914%22 Oct →
mirage4–30.0357%5 Sept →
anubis3–13-0.0115%5 Sept →
inferno7–130.0218%5 Sept →
mirage8–130.0419%5 Sept →
office13–110.0623%4 Sept →
nuke13–60.0623%4 Sept →
nuke2–130.0837%4 Sept →
vertigo13–30.0030%5 Aug →
cache8–13-0.0224%5 Aug →
nuke1–13-0.1010%5 Aug →
nuke2–13-0.0323%5 Aug →
cache9–130.0518%25 Jul →
nuke13–50.0225%25 Jul →
nuke13–70.0922%25 Jul →
inferno13–80.039%25 Jul →
mirage13–90.019%25 Jul →
inferno7–13-0.0316%25 Jul →
vertigo13–30.2225%21 Jul →
nuke13–90.1427%21 Jul →
cache13–50.0530%21 Jul →
nuke13–00.1234%7 Jul →
cache13–80.0823%7 Jul →
anubis11–13-0.0322%28 May →
cache13–40.0913%23 May →
cache13–60.0822%23 May →
cache13–40.0421%23 May →
cache13–70.0324%16 May →
cache13–90.0318%15 May →
vertigo9–13-0.0818%14 May →
cache13–60.1740%7 May →
cache13–30.0225%7 May →
cache10–130.0317%6 May →
cache2–6-0.0225%30 Apr →
cache13–40.0319%30 Apr →
anubis13–90.0915%26 Apr →
inferno13–8-0.0210%26 Apr →
inferno9–13-0.016%26 Apr →
mirage13–5-0.0147%26 Apr →
nuke13–60.2120%22 Apr →
nuke13–30.1025%22 Apr →
nuke7–130.0021%22 Apr →
vertigo13–00.0533%22 Apr →
vertigo13–40.1216%18 Apr →
vertigo11–130.0512%18 Apr →
nuke4–13-0.0010%18 Apr →
ancient6–13-0.0717%18 Apr →
dust213–40.0125%13 Apr →
mirage4–130.0922%13 Apr →
dust24–13-0.0224%13 Apr →
mirage13–40.1428%13 Apr →
vertigo9–130.1031%13 Apr →
ancient13–110.0616%2 Apr →
dust27–130.0735%2 Apr →
inferno13–10.1034%2 Apr →
mirage7–130.0021%2 Apr →
nuke13–100.0537%25 Mar →
warden1–130.0437%20 Mar →
alpine13–100.0325%20 Mar →
ancient13–30.0317%20 Mar →
nuke2–13-0.0710%20 Mar →
office7–13-0.0132%20 Mar →
mirage13–100.0719%20 Mar →
train9–13-0.0534%20 Mar →
anubis3–13-0.0542%20 Mar →
inferno12–12-0.0830%20 Mar →
dust28–13-0.0428%20 Mar →
inferno13–50.0820%19 Mar →
nuke6–13-0.0223%19 Mar →
nuke13–60.159%19 Mar →
nuke13–90.0822%19 Mar →
inferno10–13-0.0717%12 Mar →
overpass13–20.0417%11 Mar →
anubis12–120.1521%11 Mar →
nuke13–80.0325%7 Mar →
nuke0–130.020%7 Mar →
nuke13–90.0116%6 Mar →
nuke10–130.0220%6 Mar →
stronghold7–10-0.0326%28 Feb →
overpass13–00.1825%28 Feb →
inferno13–50.1121%28 Feb →
dust210–130.0412%28 Feb →
train13–80.0413%28 Feb →
nuke10–130.0413%28 Feb →
mirage8–13-0.0525%28 Feb →
warden6–1-0.0250%28 Feb →
italy13–20.0543%28 Feb →
dust23–13-0.0033%28 Feb →
alpine13–70.0223%28 Feb →
anubis13–50.1119%27 Feb →
inferno13–70.0715%27 Feb →
train11–13-0.0117%25 Feb →
office13–11-0.0018%22 Feb →
anubis13–40.1431%22 Feb →
anubis13–90.0815%21 Feb →
anubis12–120.1723%21 Feb →
office5–13-0.0727%12 Feb →
nuke13–110.0418%12 Feb →
vertigo13–10-0.0517%12 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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