Sam

Sam — CS2 Stats

76561198092602313[U:1:132336585]Steam profile ↗✓ No bans

696Tracked matches32%Win rate2026Tracked since
2,055Hours in CS
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating6,116Light Blue band · top ~73.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (2 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: 6,116 +1,893 1 Sept – 1 Nov · 13 days played
4,22313,651peak 13,6511 Sept1 Nov
13,683Peak Premier in tracked matches
13Days played since 2026-09-01

Premier CS Rating

  • 7,535 below peak (13,651)
  • Next: Blue band at 10,000 — 3,884 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate82.9%39.9%42.0%above
Shot accuracy0.1%7.0%9.6%9.5% short
Kill/death ratio4.950.920.98above
Match win rate42.1%42.3%43.8%1.7% short

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSamPREMIER6,116 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim76
Positioning51
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY44–47–9Last 10044%Win rateLTWLLLTWWW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · +0.5pp headshot accuracy · +17ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 577ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 594ms

Last 20

  • 5–11–4 · 25% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 586ms

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 (+1.7 against its own average).

Aim7.6
Utility3.1
Positioning5.1
Opening Duels2.1

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

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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. 587ms 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

Aim7.6
Positioning5.1
Utility3.1
Mechanics8.0
Opening Duels3.3
Win Impact0.0

Composite 4.8/10 (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-0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time593ms+31ms
first ⅓ avg 562ms → last ⅓ avg 593ms
Headshot accuracy11.4%−2.0%
first ⅓ avg 13.4% → last ⅓ avg 11.4%

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

0.21Best match rating · 13–0 · train, 22 Oct →
28%Best headshot accuracy · 13–8 · dust2, 25 Oct →
445msFastest reaction time · 13–8 · dust2, 26 Oct →
13–0Biggest win · train, 22 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–2In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 53% over 30ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B3016–1453%0.02
nukeC177–1041%-0.00
cacheC167–944%0.01
mirageC114–736%0.01
infernoB105–550%0.00
ancientD81–713%0.00
anubisC52–340%-0.02
train—22–0100%0.11
office—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

175,537Lifetime kills
4.95K/D · Top 1% of Light Blue band
1,623Matches
42.1%Match win rate
82.9%Headshot % · Top 1% of Light Blue band
0.1%Shot accuracy
2,773MVPs
2,055Hours (in match)
1,443Bombs planted
579Bombs defused

Most-used weapons

AK-4788,761
MP72,640
FAMAS1,685
MP91,592

Lifetime map wins

4,229dust2
1,351nuke
1,279inferno
566vertigo
351train
113office
62italy
3assault

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

11.5%Headshot accuracy
40.0%Accuracy (enemy spotted)
40.7%Spray accuracy
86.0%Counter-strafing
9.9°Preaim
587msReaction time
48.0%T opening success
38.4%CT opening success
0.36Enemies flashed / flash
10.8%Flash assists
4.84HE damage / grenade
3.08Flashes / 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 11.467% — 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 0.3616 — 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 38.4237% — below the 40% mark we flag

Spend your practice time on Ancient

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0514%1 Nov →
anubis12–120.0213%1 Nov →
dust213–30.037%1 Nov →
anubis5–13-0.099%1 Nov →
mirage7–130.0814%1 Nov →
cache10–130.0912%1 Nov →
ancient15–15-0.037%1 Nov →
cache13–11-0.0212%1 Nov →
nuke13–4-0.0117%1 Nov →
anubis13–30.0116%1 Nov →
office2–13-0.0211%1 Nov →
dust27–130.028%1 Nov →
dust213–80.0513%31 Oct →
dust212–120.0213%31 Oct →
ancient7–13-0.078%30 Oct →
cache7–13-0.016%30 Oct →
nuke12–120.0520%28 Oct →
dust23–13-0.0117%28 Oct →
cache11–130.027%28 Oct →
inferno6–130.0513%28 Oct →
inferno13–6-0.0310%27 Oct →
cache13–110.0711%27 Oct →
dust213–110.034%27 Oct →
mirage5–13-0.098%27 Oct →
dust210–130.0310%26 Oct →
mirage7–130.0415%26 Oct →
inferno9–13-0.0814%26 Oct →
ancient15–150.0112%26 Oct →
cache9–13-0.0511%26 Oct →
cache2–13-0.0216%26 Oct →
dust24–9-0.057%26 Oct →
nuke4–13-0.1211%26 Oct →
nuke16–140.0512%26 Oct →
dust213–80.0910%26 Oct →
dust23–13-0.0115%26 Oct →
nuke13–50.0115%26 Oct →
ancient13–100.087%26 Oct →
dust212–120.0312%26 Oct →
dust27–13-0.017%26 Oct →
ancient5–13-0.0117%25 Oct →
dust210–13-0.0713%25 Oct →
dust28–13-0.0222%25 Oct →
nuke13–30.005%25 Oct →
dust213–80.0228%25 Oct →
nuke4–13-0.0317%25 Oct →
dust213–20.0826%25 Oct →
dust210–13-0.0226%25 Oct →
cache13–40.0419%25 Oct →
nuke8–13-0.0510%25 Oct →
nuke6–13-0.0514%25 Oct →
cache13–70.0316%25 Oct →
mirage13–30.0115%25 Oct →
mirage10–130.0416%24 Oct →
nuke6–130.0917%24 Oct →
cache8–1-0.020%24 Oct →
inferno9–13-0.038%24 Oct →
ancient12–120.028%24 Oct →
dust213–20.0914%24 Oct →
nuke13–2-0.045%24 Oct →
ancient3–8-0.0317%24 Oct →
nuke6–13-0.099%24 Oct →
dust210–13-0.0710%24 Oct →
cache6–13-0.0417%24 Oct →
mirage13–11-0.0211%24 Oct →
inferno13–70.124%24 Oct →
mirage8–130.0213%23 Oct →
cache11–130.0213%23 Oct →
mirage6–13-0.0014%23 Oct →
anubis4–13-0.0426%23 Oct →
mirage13–9-0.0210%23 Oct →
cache4–130.014%23 Oct →
inferno13–3-0.017%23 Oct →
dust213–6-0.0511%23 Oct →
dust213–70.0111%23 Oct →
dust26–130.0611%23 Oct →
nuke13–50.0919%23 Oct →
nuke13–80.0712%23 Oct →
dust213–60.0611%22 Oct →
train13–00.216%22 Oct →
dust213–30.0512%22 Oct →
inferno13–60.0014%22 Oct →
nuke5–130.0111%22 Oct →
ancient7–130.0614%20 Oct →
inferno10–130.1011%20 Oct →
dust213–30.0317%20 Oct →
dust213–100.0914%19 Oct →
dust213–80.0420%19 Oct →
cache9–13-0.0124%19 Oct →
dust213–100.1318%19 Oct →
dust210–130.0418%19 Oct →
nuke12–12-0.049%19 Oct →
train13–30.0119%19 Oct →
dust213–5-0.0014%19 Oct →
mirage13–80.0717%19 Oct →
mirage15–15-0.019%19 Oct →
inferno13–11-0.046%19 Oct →
nuke4–13-0.0113%18 Oct →
cache13–100.0411%18 Oct →
cache13–11-0.0114%18 Oct →
anubis13–9-0.0114%18 Oct →

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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