cuti3_p13

cuti3_p13 — CS2 Stats

US76561199494727276[U:1:1534461548]Steam profile ↗✓ No bans

2,041Tracked matches48%Win rate2023Tracked since
CSDB Rating3.5 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (48 days ago). Ranks are recorded once per day this page is viewed.

+73Tracked matches · now 2,041
+1.5ppWin rate · 46.2% → 47.6%

Rating over time

17Days played since 2026-07-26

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim39
Positioning56
Utility17

0–100 skill scores via Leetify.

Recent form

COLD37–48–15Last 10037%Win rateWLWTLLLLWT

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +0.7pp headshot accuracy · +45ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 552ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 582ms

Last 20

  • 8–6–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 560ms

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 (+3.3 against its own average).

Aim3.9
Utility1.7
Positioning5.6
Opening Duels1.9
Clutch0.0

Strong T-side openerLimited utility dependence

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

donk

Plays most like donk 74% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 52% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 559ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim3.9
Positioning5.6
Utility1.7
Mechanics1.4
Opening Duels2.8
Win Impact4.2

Composite 3.5/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time553ms−23ms
first ⅓ avg 576ms → last ⅓ avg 553ms
Headshot accuracy10.9%−2.2%
first ⅓ avg 13.1% → last ⅓ avg 10.9%

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

0.11Best match rating · 13–3 · vertigo, 26 Sept →
40%Best headshot accuracy · 13–2 · train, 18 Oct →
250msFastest reaction time · 1–13 · nuke, 23 Aug →
13–1Biggest win · nuke, 19 Sept →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 60% over 5mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
nukeC218–1338%-0.03
vertigoB2111–1052%-0.02
cacheD112–918%-0.03
trainC104–640%-0.04
mirageD91–811%-0.03
dust2D92–722%-0.05
ancientD72–529%-0.04
infernoA53–260%-0.03
anubisC52–340%-0.01
overpass—22–0100%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
100%Win rate
0.37Avg K/D
50.5ADR
48%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

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.

10.9%Headshot accuracy
33.8%Accuracy (enemy spotted)
34.3%Spray accuracy
56.1%Counter-strafing
10.6°Preaim
559msReaction time
52.2%T opening success
29.9%CT opening success
0.19Enemies flashed / flash
1.2%Flash assists
10.16HE damage / grenade
0.63Flashes / 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 10.8911% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1861 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 29.8768% — below the 40% mark we flag

Spend your practice time on Mirage

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–100.037%19 Oct →
train10–13-0.0517%19 Oct →
inferno13–7-0.0315%19 Oct →
mirage12–120.0715%18 Oct →
vertigo4–13-0.0018%18 Oct →
train10–13-0.0416%18 Oct →
nuke10–130.0112%18 Oct →
vertigo7–13-0.0611%18 Oct →
dust213–6-0.095%18 Oct →
inferno12–12-0.069%18 Oct →
train13–20.0640%18 Oct →
vertigo13–9-0.0510%18 Oct →
cache6–13-0.045%18 Oct →
nuke13–30.0315%18 Oct →
vertigo12–12-0.062%14 Oct →
vertigo13–70.026%14 Oct →
nuke12–12-0.047%10 Oct →
ancient12–12-0.039%10 Oct →
anubis13–7-0.0018%10 Oct →
train12–12-0.024%10 Oct →
nuke11–13-0.0412%10 Oct →
cache11–13-0.019%10 Oct →
dust212–12-0.0114%10 Oct →
vertigo12–12-0.026%10 Oct →
cache6–13-0.000%8 Oct →
vertigo9–130.0213%8 Oct →
train9–13-0.0717%8 Oct →
nuke13–5-0.034%8 Oct →
train13–10-0.0013%8 Oct →
nuke12–12-0.0610%2 Oct →
nuke10–13-0.066%2 Oct →
vertigo3–13-0.0913%2 Oct →
cache8–130.015%1 Oct →
ancient4–13-0.025%1 Oct →
nuke13–40.047%1 Oct →
mirage6–13-0.1010%1 Oct →
vertigo13–80.0124%1 Oct →
train11–13-0.0510%1 Oct →
cache10–13-0.078%1 Oct →
nuke13–60.019%1 Oct →
dust25–130.004%1 Oct →
nuke13–11-0.108%26 Sept →
vertigo13–11-0.005%26 Sept →
vertigo13–30.115%26 Sept →
nuke3–13-0.0114%26 Sept →
dust28–13-0.057%26 Sept →
dust25–13-0.073%25 Sept →
vertigo13–9-0.066%25 Sept →
nuke10–13-0.066%25 Sept →
train1–13-0.156%25 Sept →
mirage13–60.003%25 Sept →
overpass13–11-0.0613%25 Sept →
inferno13–5-0.0311%25 Sept →
vertigo5–13-0.1113%25 Sept →
cache8–13-0.017%25 Sept →
nuke7–13-0.096%25 Sept →
vertigo12–12-0.079%24 Sept →
vertigo7–13-0.0515%19 Sept →
nuke6–13-0.124%19 Sept →
anubis7–13-0.038%19 Sept →
ancient7–13-0.068%19 Sept →
nuke13–10.028%19 Sept →
vertigo13–40.014%19 Sept →
dust24–13-0.1012%19 Sept →
cache13–7-0.032%19 Sept →
vertigo13–50.020%5 Sept →
nuke12–12-0.078%5 Sept →
anubis2–13-0.0810%5 Sept →
ancient13–8-0.078%5 Sept →
mirage2–13-0.0810%5 Sept →
nuke7–130.019%5 Sept →
cache8–13-0.0614%5 Sept →
vertigo13–10-0.0314%5 Sept →
cache10–13-0.0511%23 Aug →
train13–3-0.0225%23 Aug →
vertigo13–80.018%23 Aug →
dust212–12-0.0212%23 Aug →
nuke13–8-0.093%23 Aug →
mirage12–12-0.0215%23 Aug →
cache6–3-0.0623%23 Aug →
vertigo11–13-0.0213%23 Aug →
anubis13–60.0212%23 Aug →
nuke1–13-0.1318%23 Aug →
overpass13–8-0.0010%23 Aug →
ancient13–10-0.0418%23 Aug →
mirage8–13-0.009%23 Aug →
mirage9–13-0.065%21 Aug →
ancient0–8-0.0523%21 Aug →
cache12–12-0.0510%21 Aug →
inferno13–10.0614%21 Aug →
train13–8-0.0213%21 Aug →
inferno7–13-0.0713%11 Aug →
dust210–13-0.0314%11 Aug →
nuke12–120.027%11 Aug →
ancient8–13-0.047%28 Jul →
mirage2–13-0.0711%28 Jul →
mirage11–13-0.038%26 Jul →
vertigo5–1-0.0236%26 Jul →
anubis7–130.0214%26 Jul →
dust213–8-0.0613%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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