1saM

1saM — CS2 Stats

76561198114910699[U:1:154644971]Steam profile ↗✓ No bans

580Tracked matches41%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating7,002Light Blue band · top ~69.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 7,002 +1,185 27 May – 28 Oct · 36 days played
4,6707,619peak 7,61927 May28 Oct
7,619Peak Premier in tracked matches
45Days played since 2026-05-27

Premier CS Rating

  • 617 below peak (7,619)
  • +2,059 over 30 days · improving
  • Next: Blue band at 10,000 — 2,998 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-11

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

Share this profile

CSDB.GG1saMPREMIER7,002 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim77
Positioning61
Utility35

0–100 skill scores via Leetify.

Recent form

COLD38–59–3Last 10038%Win rateLWLWTLLLWL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −7.9pp headshot accuracy · −42ms reaction

Win rate −10pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 517ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 517ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 538ms

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).

Aim7.7
Utility3.5
Positioning6.1
Opening Duels4.5

Limited 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 94% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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.

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

Aim7.7
Positioning6.1
Utility3.5
Mechanics7.1
Opening Duels5.7
Win Impact2.1

Composite 5.3/10 (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 rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time540ms−51ms
first ⅓ avg 590ms → last ⅓ avg 540ms
Headshot accuracy14.5%−2.1%
first ⅓ avg 16.7% → last ⅓ avg 14.5%

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 · 13–7 · inferno, 17 Jun →
50%Best headshot accuracy · 6–13 · mirage, 22 Aug →
375msFastest reaction time · 1–13 · nuke, 12 Aug →
13–2Biggest win · inferno, 20 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–15In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 45% over 22cacheWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageC3113–1842%-0.02
infernoB2210–1245%0.01
nukeD196–1332%-0.02
cacheD134–931%-0.02
dust2C83–538%-0.03
overpass—30–30%-0.01
ancient—22–0100%0.03
anubis—20–20%-0.02

Across the last 100 tracked matches.

Skill profile

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

15.2%Headshot accuracy
34.1%Accuracy (enemy spotted)
39.9%Spray accuracy
82.1%Counter-strafing
8.4°Preaim
536msReaction time
58.1%T opening success
47.6%CT opening success
0.40Enemies flashed / flash
1.8%Flash assists
10.12HE damage / grenade
1.41Flashes / 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. 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 0.4019 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage9–130.0310%28 Oct →
ancient13–50.0813%28 Oct →
mirage2–13-0.043%28 Oct →
dust213–6-0.077%25 Oct →
cache15–15-0.0413%25 Oct →
mirage4–13-0.0115%21 Oct →
inferno8–130.0013%21 Oct →
cache11–13-0.046%18 Oct →
ancient13–6-0.036%15 Oct →
inferno11–13-0.0110%14 Oct →
nuke1–13-0.1011%14 Oct →
mirage13–6-0.019%14 Oct →
inferno8–13-0.036%12 Oct →
inferno13–6-0.017%10 Oct →
dust213–80.0222%10 Oct →
mirage11–13-0.0122%10 Oct →
dust26–13-0.0622%10 Oct →
inferno13–70.0138%9 Oct →
anubis8–13-0.0018%9 Oct →
dust24–130.0619%7 Oct →
inferno13–70.0314%7 Oct →
dust213–110.0340%7 Oct →
inferno13–10-0.0226%4 Oct →
cache13–40.0312%4 Oct →
mirage2–13-0.0710%4 Oct →
inferno13–100.0218%30 Sept →
dust21–13-0.078%23 Sept →
cache5–13-0.0617%23 Sept →
mirage9–130.0116%20 Sept →
nuke7–13-0.0416%9 Sept →
mirage11–13-0.0113%9 Sept →
cache5–13-0.040%8 Sept →
mirage8–13-0.0322%8 Sept →
inferno11–130.0225%6 Sept →
mirage5–13-0.0925%1 Sept →
cache14–16-0.0617%30 Aug →
mirage11–13-0.0415%30 Aug →
nuke3–13-0.078%30 Aug →
mirage5–13-0.060%30 Aug →
inferno15–150.0419%29 Aug →
nuke11–13-0.0126%29 Aug →
overpass8–130.0224%28 Aug →
dust210–13-0.0918%27 Aug →
mirage13–10-0.0036%27 Aug →
nuke7–13-0.035%26 Aug →
mirage1–13-0.017%26 Aug →
mirage16–13-0.0514%26 Aug →
cache5–130.0020%22 Aug →
mirage6–13-0.0850%22 Aug →
inferno13–2-0.0240%20 Aug →
mirage13–50.026%20 Aug →
inferno11–130.0117%19 Aug →
nuke16–140.0421%19 Aug →
cache7–13-0.105%19 Aug →
mirage13–2-0.0219%18 Aug →
mirage12–16-0.0019%18 Aug →
dust213–16-0.0122%18 Aug →
cache13–11-0.0311%16 Aug →
mirage13–7-0.0124%16 Aug →
inferno13–100.0213%12 Aug →
nuke1–13-0.090%12 Aug →
nuke11–130.0013%5 Aug →
mirage13–11-0.038%5 Aug →
mirage8–13-0.065%5 Aug →
cache9–130.0624%29 Jul →
nuke8–130.0116%29 Jul →
inferno10–13-0.0125%29 Jul →
cache13–110.0124%28 Jul →
mirage16–130.0414%24 Jul →
nuke4–13-0.0810%24 Jul →
inferno13–9-0.0131%24 Jul →
nuke5–13-0.009%22 Jul →
nuke13–8-0.037%22 Jul →
inferno9–130.0413%22 Jul →
cache8–13-0.0736%21 Jul →
mirage9–130.0219%21 Jul →
cache13–110.0618%19 Jul →
mirage13–5-0.0113%19 Jul →
mirage13–3-0.066%15 Jul →
nuke9–13-0.0124%15 Jul →
inferno14–16-0.0311%1 Jul →
nuke13–80.0313%1 Jul →
mirage7–13-0.0616%1 Jul →
overpass14–16-0.0616%24 Jun →
mirage16–120.0226%24 Jun →
nuke13–50.0621%24 Jun →
mirage14–16-0.0511%19 Jun →
nuke13–110.0419%19 Jun →
overpass5–130.0215%17 Jun →
anubis4–13-0.040%17 Jun →
nuke14–16-0.0314%17 Jun →
inferno13–70.1129%17 Jun →
mirage13–50.0716%10 Jun →
inferno8–130.0115%10 Jun →
inferno15–150.0515%3 Jun →
nuke9–13-0.0310%3 Jun →
inferno13–30.0412%3 Jun →
mirage13–50.0232%1 Jun →
nuke16–140.0018%1 Jun →
inferno11–13-0.0319%27 May →

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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