sambtw

sambtw — CS2 Stats

US76561198922648048[U:1:962382320]Steam profile ↗✓ No bans

73Tracked matches56%Win rate2026Tracked since
CSDB Rating5.0 DevelopingPositional Player
Ladder ranks via Leetify

Performance scores

Aim57
Positioning52
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY34–35–4Last 7347%Win rateLLWLWWWTLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −1.1pp headshot accuracy · −10ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 8%
  • Avg reaction 697ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 8%
  • Avg reaction 700ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 8%
  • Avg reaction 705ms

Newest first, from the last 73 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 (+2.7 against its own average).

Aim5.7
Utility2.4
Positioning5.2
Opening Duels0.0

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

iM

Plays most like iM 84% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 713ms 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

Aim5.7
Positioning5.2
Utility2.4
Mechanics7.5
Opening Duels0.9
Win Impact6.9

Composite 5.0/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time707ms−24ms
first ⅓ avg 731ms → last ⅓ avg 707ms
Headshot accuracy8.3%−3.0%
first ⅓ avg 11.4% → last ⅓ avg 8.3%

Rolling 5-match average across the last 73 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.12Best match rating · 13–9 · mirage, 31 Oct →
42%Best headshot accuracy · 8–7 · rush_001, 18 Oct →
484msFastest reaction time · 10–13 · nuke, 30 Oct →
13–0Biggest win · mirage, 25 Oct →

Across the last 73 tracked matches.

Highlights

4Longest win streak
L2Current streak
6–3In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 60% over 5nukeWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2713–1448%-0.02
dust2C207–1335%-0.02
nukeD124–833%-0.02
cacheA53–260%-0.03
train—32–167%0.01
inferno—21–150%-0.06
ancient—22–0100%0.01
office—11–0100%0.03
rush_001—11–0100%0.07

Across the last 73 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Nuke 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.

10.2%Headshot accuracy
40.8%Accuracy (enemy spotted)
39.4%Spray accuracy
83.6%Counter-strafing
11.4°Preaim
713msReaction time
29.3%T opening success
37.5%CT opening success
0.38Enemies flashed / flash
7.9%Flash assists
7.97HE damage / grenade
3.00Flashes / 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 10.1934% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 712.6074ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.3773 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.019%7 Nov →
mirage3–13-0.090%7 Nov →
inferno9–5-0.050%7 Nov →
inferno9–13-0.0713%6 Nov →
train13–80.0316%5 Nov →
ancient13–9-0.0011%5 Nov →
nuke13–70.057%5 Nov →
train12–12-0.006%5 Nov →
mirage6–13-0.036%5 Nov →
nuke7–13-0.0710%4 Nov →
ancient13–70.026%4 Nov →
mirage12–12-0.079%4 Nov →
nuke13–2-0.059%4 Nov →
cache13–6-0.039%4 Nov →
train13–110.0113%4 Nov →
dust213–90.017%4 Nov →
mirage12–120.055%3 Nov →
mirage13–110.0711%3 Nov →
mirage6–13-0.047%3 Nov →
cache13–110.0213%3 Nov →
nuke6–13-0.013%2 Nov →
mirage13–70.0310%2 Nov →
mirage13–90.0112%31 Oct →
mirage13–70.009%31 Oct →
nuke5–130.0822%31 Oct →
nuke6–9-0.046%31 Oct →
mirage13–90.1216%31 Oct →
mirage13–90.0014%31 Oct →
nuke8–8-0.0810%31 Oct →
cache3–13-0.097%30 Oct →
nuke9–13-0.0613%30 Oct →
mirage8–13-0.0813%30 Oct →
dust27–130.0617%30 Oct →
cache11–13-0.0323%30 Oct →
nuke10–13-0.049%30 Oct →
mirage13–9-0.047%30 Oct →
dust210–130.0614%30 Oct →
mirage13–10-0.082%29 Oct →
dust21–13-0.064%29 Oct →
mirage9–13-0.004%28 Oct →
office13–90.034%28 Oct →
cache13–4-0.027%27 Oct →
nuke6–13-0.0111%27 Oct →
mirage13–11-0.0213%27 Oct →
dust213–9-0.096%27 Oct →
mirage6–13-0.079%26 Oct →
dust29–13-0.053%26 Oct →
mirage7–13-0.039%26 Oct →
mirage13–0-0.016%25 Oct →
mirage13–11-0.038%25 Oct →
dust21–13-0.1113%25 Oct →
mirage5–13-0.054%20 Oct →
mirage12–10.087%20 Oct →
dust213–90.0012%20 Oct →
dust29–13-0.0612%20 Oct →
dust213–9-0.0613%20 Oct →
dust27–9-0.037%19 Oct →
mirage10–13-0.043%19 Oct →
dust25–13-0.0410%19 Oct →
rush_0018–70.0742%18 Oct →
dust28–13-0.0314%18 Oct →
dust26–13-0.0211%18 Oct →
mirage2–8-0.037%18 Oct →
mirage13–2-0.056%17 Oct →
nuke13–8-0.0521%17 Oct →
nuke13–100.0310%17 Oct →
dust27–13-0.039%17 Oct →
dust28–13-0.0512%16 Oct →
dust213–50.0313%16 Oct →
dust211–13-0.038%16 Oct →
dust213–40.1216%16 Oct →
mirage10–13-0.087%16 Oct →
dust213–90.0211%16 Oct →

Match data via Leetify.

Recent teammates

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

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