Tuttis

Tuttis — CS2 Stats

76561198195553582[U:1:235287854]Steam profile ↗✓ No bans

736Tracked matches48%Win rate2020Tracked since
CSDB Rating3.7 LearningClutch Specialist
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 12,262 +2,146 26 Nov – 4 Mar · 6 days played
10,11612,913peak 12,91326 Nov4 Mar
12,913Peak Premier in tracked matches
31Days played since 2024-11-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim28
Positioning48
Utility39

0–100 skill scores via Leetify.

Recent form

HOT51–43–6Last 10051%Win rateWWWWLWLLWW

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −1.4pp headshot accuracy · −77ms 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 -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 586ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 578ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 617ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.1 against its own average).

Aim2.8
Utility3.9
Positioning4.8
Opening Duels1.1
Clutch6.0

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

Twistzz

Plays most like Twistzz 65% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 637ms 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

Aim2.8
Positioning4.8
Utility3.9
Mechanics4.9
Opening Duels1.6
Win Impact4.4

Composite 3.7/10 (Learning), 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 rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time637ms−22ms
first ⅓ avg 659ms → last ⅓ avg 637ms
Headshot accuracy13.1%−1.1%
first ⅓ avg 14.2% → last ⅓ avg 13.1%

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

0.07Best match rating · 13–3 · overpass, 17 Feb →
32%Best headshot accuracy · 13–8 · italy, 16 Jan →
422msFastest reaction time · 13–10 · inferno, 25 Oct →
13–1Biggest win · nuke, 22 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
3–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 67% over 18dust2Weakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
nukeS1812–667%-0.03
dust2D174–1324%-0.04
infernoA1610–663%-0.04
ancientC146–843%-0.04
trainC104–640%-0.04
mirageC83–538%-0.05
vertigoS64–267%-0.04
italy—31–233%-0.02
overpass—33–0100%0.04
anubis—22–0100%-0.08
office—21–150%-0.04
cache—11–0100%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

145Matches
50%Win rate
0.80Avg K/D
58.6ADR
34%Headshot %

Clutches & streaks

50%1v1 clutch win
25%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke475%0.6010.8
Inferno367%0.7512.0
Cache1100%0.6312.0
Ancient10%0.6111.0
Vertigo1100%0.8117.0
Train10%0.447.0
Dust210%0.6515.0

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.

13.5%Headshot accuracy
25.7%Accuracy (enemy spotted)
26.0%Spray accuracy
71.9%Counter-strafing
10.6°Preaim
637msReaction time
29.6%T opening success
42.7%CT opening success
0.69Enemies flashed / flash
4.0%Flash assists
5.06HE damage / grenade
11.68Flashes / 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 13.4654% — below the 15% mark we flag

    Aim Training →
  2. 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 29.5699% — below the 40% mark we flag

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.

24% win rate across 17 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
nuke13–8-0.0616%4 Nov →
mirage13–8-0.087%2 Nov →
vertigo13–9-0.0522%2 Nov →
nuke11–8-0.0410%2 Nov →
italy5–13-0.0110%2 Nov →
inferno13–60.0217%1 Nov →
mirage8–13-0.087%25 Oct →
dust211–13-0.0527%25 Oct →
nuke16–13-0.1011%25 Oct →
inferno13–10-0.0116%25 Oct →
cache13–10-0.0331%25 Oct →
dust23–13-0.0510%22 May →
mirage12–12-0.0612%3 May →
inferno13–11-0.0717%3 May →
inferno9–13-0.0613%31 Mar →
ancient13–7-0.025%31 Mar →
dust28–13-0.0715%27 Mar →
nuke7–13-0.0222%27 Mar →
inferno13–6-0.0121%24 Mar →
nuke13–16-0.049%24 Mar →
nuke13–9-0.039%19 Mar →
nuke13–2-0.029%19 Mar →
dust214–16-0.0414%19 Mar →
ancient10–13-0.037%4 Mar →
dust210–13-0.085%4 Mar →
inferno13–5-0.0213%2 Mar →
nuke11–13-0.079%2 Mar →
nuke11–13-0.0615%1 Mar →
ancient8–13-0.0410%1 Mar →
mirage3–13-0.0116%1 Mar →
overpass13–40.004%1 Mar →
anubis13–9-0.0613%1 Mar →
inferno13–6-0.0813%1 Mar →
train12–12-0.0314%1 Mar →
nuke13–20.0310%1 Mar →
vertigo13–10-0.0512%28 Feb →
inferno11–13-0.0424%28 Feb →
train13–7-0.0514%28 Feb →
train13–9-0.0514%28 Feb →
nuke13–30.0311%28 Feb →
ancient13–9-0.058%28 Feb →
mirage6–13-0.0530%28 Feb →
inferno6–13-0.0314%27 Feb →
office13–6-0.035%27 Feb →
ancient13–9-0.0011%27 Feb →
dust28–13-0.0418%27 Feb →
nuke13–100.0314%27 Feb →
inferno8–130.0315%27 Feb →
dust22–13-0.0714%26 Feb →
inferno13–10-0.0412%26 Feb →
ancient16–13-0.0523%26 Feb →
nuke11–13-0.0820%26 Feb →
inferno13–7-0.068%26 Feb →
ancient7–13-0.0810%26 Feb →
dust23–13-0.0717%23 Feb →
train7–13-0.0513%23 Feb →
inferno6–13-0.0314%23 Feb →
dust213–9-0.0418%22 Feb →
nuke13–10.0711%22 Feb →
vertigo13–6-0.0517%21 Feb →
mirage13–8-0.0310%21 Feb →
italy12–12-0.0019%21 Feb →
nuke13–60.0516%21 Feb →
mirage12–12-0.0414%21 Feb →
train5–13-0.0717%21 Feb →
dust213–6-0.0515%17 Feb →
train9–13-0.0516%17 Feb →
overpass13–30.073%17 Feb →
vertigo9–13-0.0214%17 Feb →
inferno13–3-0.0314%17 Feb →
dust26–13-0.0318%17 Feb →
ancient4–13-0.0118%17 Feb →
dust211–13-0.0331%12 Feb →
dust213–20.048%3 Feb →
ancient4–13-0.0711%3 Feb →
inferno13–11-0.0711%29 Jan →
train3–13-0.0517%29 Jan →
nuke10–13-0.0112%29 Jan →
dust213–11-0.0320%29 Jan →
office10–13-0.0514%16 Jan →
italy13–8-0.0632%16 Jan →
nuke16–12-0.0720%14 Dec →
ancient5–13-0.0413%14 Dec →
vertigo13–10-0.070%1 Dec →
dust210–13-0.0226%1 Dec →
ancient7–13-0.0417%1 Dec →
ancient13–7-0.0517%26 Nov →
anubis13–7-0.0920%26 Nov →
dust211–13-0.020%22 Nov →
ancient13–8-0.0213%22 Nov →
train13–60.0312%22 Nov →
vertigo12–12-0.0115%22 Nov →
nuke13–8-0.057%22 Nov →
ancient6–13-0.108%21 Nov →
dust212–12-0.0618%21 Nov →
overpass13–20.0618%21 Nov →
train13–30.0014%21 Nov →
mirage13–7-0.0510%19 Nov →
inferno9–13-0.1016%18 Nov →
train6–13-0.075%18 Nov →

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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