sm00re0

sm00re0 — CS2 Stats

76561198817221522[U:1:856955794]Steam profile ↗✓ No bans

880Tracked matches55%Win rate2026Tracked since
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating1,733Grey band · top ~92.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−314Premier CS Rating · 2,047 → 1,733

Rating over time

Premier CS Rating: 1,733 +491 20 Sept – 8 Oct · 18 days played
1,2422,416peak 2,41620 Sept8 Oct
2,416Peak Premier in tracked matches
18Days played since 2026-09-20

Premier CS Rating

  • 683 below peak (2,416)
  • Next: Light Blue band at 5,000 — 3,267 to go

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

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CSDB.GGsm00re0PREMIER1,733 · Grey bandcsdb.gg/stats

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Performance scores

Aim42
Positioning44
Utility19

0–100 skill scores via Leetify.

Recent form

COLD47–49–4Last 10047%Win rateLLWLLLLLLW

Last 10 vs previous 10: −60pp win rate · −0.00 avg rating · +1.5pp headshot accuracy · +10ms reaction

Win rate down 60pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 742ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 702ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 696ms

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 (+1.4 against its own average).

Aim4.2
Utility1.9
Positioning4.4
Opening Duels2.6

Strong CT-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 88% 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

Reaction time. 696ms 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

Aim4.2
Positioning4.4
Utility1.9
Mechanics7.0
Opening Duels3.2
Win Impact6.7

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time707ms−18ms
first ⅓ avg 725ms → last ⅓ avg 707ms
Headshot accuracy10.6%+0.6%
first ⅓ avg 9.9% → last ⅓ avg 10.6%

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

0.09Best match rating · 13–10 · anubis, 26 Sept →
20%Best headshot accuracy · 13–9 · inferno, 27 Sept →
438msFastest reaction time · 6–13 · cache, 29 Sept →
13–0Biggest win · nuke, 6 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
6–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 61% over 18anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C2911–1838%-0.01
mirageA1811–761%-0.00
nukeA148–657%0.00
infernoB126–650%-0.02
cacheB115–645%0.00
anubisD93–633%0.00
ancientB63–350%-0.00
train—10–10%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis 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.

10.1%Headshot accuracy
34.9%Accuracy (enemy spotted)
38.0%Spray accuracy
81.3%Counter-strafing
12.5°Preaim
696msReaction time
36.5%T opening success
48.8%CT opening success
0.53Enemies flashed / flash
0.8%Flash assists
4.30HE damage / grenade
4.69Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.5156° — above the 12° mark we flag

    Aim Training →
  2. 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 10.1007% — below the 15% mark we flag

    Aim Training →
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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–16-0.0114%8 Oct →
dust210–130.048%8 Oct →
mirage13–10-0.0314%8 Oct →
anubis10–130.0717%8 Oct →
nuke7–13-0.0111%8 Oct →
train2–110.0112%7 Oct →
dust27–13-0.049%7 Oct →
dust29–13-0.003%7 Oct →
anubis11–13-0.059%7 Oct →
ancient13–20.0213%6 Oct →
ancient4–10.0017%6 Oct →
nuke15–150.0512%6 Oct →
dust213–90.054%6 Oct →
nuke13–7-0.0412%6 Oct →
nuke13–10-0.024%6 Oct →
anubis11–13-0.0215%6 Oct →
nuke13–00.0119%6 Oct →
mirage13–60.012%5 Oct →
anubis16–14-0.054%5 Oct →
nuke13–30.047%4 Oct →
nuke5–130.0210%4 Oct →
inferno13–9-0.0317%4 Oct →
nuke13–11-0.0411%4 Oct →
mirage13–70.0213%4 Oct →
nuke16–140.019%4 Oct →
dust29–130.0218%4 Oct →
dust213–6-0.0612%4 Oct →
ancient9–130.0510%4 Oct →
ancient13–4-0.023%4 Oct →
cache4–13-0.042%4 Oct →
dust214–160.0416%4 Oct →
dust210–13-0.0114%4 Oct →
dust29–130.029%4 Oct →
dust27–130.0420%4 Oct →
inferno1–9-0.250%4 Oct →
cache10–130.0218%3 Oct →
ancient12–16-0.0312%2 Oct →
mirage13–90.057%2 Oct →
mirage10–130.0714%2 Oct →
inferno10–13-0.0613%2 Oct →
dust215–15-0.048%2 Oct →
cache13–10-0.049%2 Oct →
anubis7–130.068%2 Oct →
mirage13–110.0216%2 Oct →
mirage13–100.039%2 Oct →
cache13–16-0.017%1 Oct →
mirage13–30.0316%1 Oct →
inferno13–6-0.0011%1 Oct →
dust24–13-0.0713%1 Oct →
inferno13–50.059%30 Sept →
inferno5–130.0318%30 Sept →
nuke11–130.0214%30 Sept →
mirage13–60.0518%29 Sept →
inferno10–130.0217%29 Sept →
cache13–9-0.0013%29 Sept →
cache6–13-0.054%29 Sept →
cache12–20.0611%29 Sept →
mirage11–13-0.0714%29 Sept →
ancient4–13-0.0414%29 Sept →
mirage13–10-0.076%29 Sept →
dust213–7-0.029%29 Sept →
inferno10–13-0.0316%29 Sept →
cache13–4-0.0110%28 Sept →
dust213–5-0.016%28 Sept →
dust20–11-0.0910%28 Sept →
dust213–11-0.067%27 Sept →
nuke16–140.0510%27 Sept →
inferno13–90.0320%27 Sept →
anubis9–13-0.0311%27 Sept →
dust216–130.0412%27 Sept →
mirage15–150.0213%27 Sept →
nuke11–13-0.068%27 Sept →
cache13–60.057%26 Sept →
dust23–13-0.120%26 Sept →
inferno13–7-0.037%26 Sept →
mirage11–13-0.094%26 Sept →
anubis11–13-0.0512%26 Sept →
anubis13–100.0915%26 Sept →
dust28–13-0.009%26 Sept →
anubis13–90.0110%26 Sept →
mirage4–13-0.028%26 Sept →
mirage8–13-0.0210%26 Sept →
cache9–13-0.0410%25 Sept →
nuke13–9-0.0613%25 Sept →
dust28–13-0.069%25 Sept →
inferno3–130.0011%24 Sept →
dust213–100.025%24 Sept →
mirage13–6-0.094%24 Sept →
dust20–13-0.0713%24 Sept →
dust210–13-0.0015%24 Sept →
dust213–80.068%23 Sept →
dust213–100.0111%23 Sept →
mirage7–130.0711%23 Sept →
dust213–100.0511%21 Sept →
inferno13–100.057%21 Sept →
nuke15–150.025%20 Sept →
dust23–13-0.0413%20 Sept →
dust213–60.0213%20 Sept →
cache7–130.0814%20 Sept →
mirage13–90.0210%20 Sept →

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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