Samura1_Sam

Samura1_Sam — CS2 Stats

GU76561198096054849[U:1:135789121]Steam profile ↗✓ No bans

1,661Tracked matches44%Win rate2020Tracked since
CSDB Rating4.1 DevelopingSupport
Premier CS Rating9,999Light Blue band · top ~54.9% of ranked players (population est.)
FaceitLevel 3 · 832 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSamura1_SamFACEITLevel 3 · 832 ELOSTANDINGTop 90.6% of rankedPREMIER9,999 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning50
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY44–52–4Last 10044%Win rateLWLWTLWWLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −2.6pp headshot accuracy · +14ms reaction

Win rate 0pp 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 10%
  • Avg reaction 602ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 576ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 569ms

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: Support — Utility contribution stands above the rest of this profile (+2.2 against its own average).

Aim4.7
Utility6.1
Positioning5.0
Opening Duels2.0
Clutch2.4

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

Twistzz

Plays most like Twistzz 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 575ms 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

Aim4.7
Positioning5.0
Utility6.1
Mechanics5.0
Opening Duels2.1
Win Impact3.1

Composite 4.1/10 (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 rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time565ms−11ms
first ⅓ avg 576ms → last ⅓ avg 565ms
Headshot accuracy13.0%−0.1%
first ⅓ avg 13.2% → last ⅓ avg 13.0%

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

0.19Best match rating · 13–6 · dust2, 22 Oct →
39%Best headshot accuracy · 9–8 · dust2, 17 Oct →
422msFastest reaction time · 13–3 · mirage, 13 Oct →
13–0Biggest win · mirage, 26 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 59% over 17ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C4115–2637%-0.01
mirageA1710–759%-0.00
cacheB126–650%0.03
infernoB105–550%0.00
ancientD82–625%0.00
anubisB63–350%0.01
nukeB63–350%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

105Matches
46%Win rate
0.94Avg K/D
69.0ADR
39%Headshot %

Clutches & streaks

32%1v1 clutch win
12%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3345%1.0615.4
Dust22638%0.8810.6
Inferno1331%0.7712.8
Nuke1250%0.9713.5
Ancient956%0.9013.3
Anubis757%0.8312.0
Cache250%1.5412.0
Train1100%1.1813.0

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.

12.6%Headshot accuracy
31.6%Accuracy (enemy spotted)
33.5%Spray accuracy
72.6%Counter-strafing
10.8°Preaim
575msReaction time
37.4%T opening success
39.3%CT opening success
0.51Enemies flashed / flash
4.1%Flash assists
12.59HE damage / grenade
15.12Flashes / 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 12.6161% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.3942% — 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.

25% 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
dust26–13-0.0310%11 Nov →
mirage13–50.1118%11 Nov →
anubis9–130.0013%11 Nov →
dust213–110.0412%11 Nov →
dust215–15-0.080%10 Nov →
dust25–130.0120%10 Nov →
mirage13–11-0.0217%4 Nov →
inferno13–110.0510%3 Nov →
dust22–13-0.066%3 Nov →
ancient4–13-0.0810%2 Nov →
cache0–7-0.048%1 Nov →
dust213–80.0313%1 Nov →
dust25–130.0314%29 Oct →
dust216–130.0310%28 Oct →
dust212–12-0.0617%28 Oct →
nuke13–50.0215%28 Oct →
cache10–13-0.0122%28 Oct →
ancient9–130.0921%26 Oct →
dust26–13-0.0310%26 Oct →
nuke13–20.0512%26 Oct →
ancient9–130.029%26 Oct →
inferno6–130.0416%26 Oct →
mirage13–00.078%26 Oct →
cache13–110.0012%24 Oct →
dust27–130.0511%24 Oct →
mirage12–12-0.0111%24 Oct →
cache13–80.069%23 Oct →
dust26–130.0415%23 Oct →
dust26–13-0.0710%22 Oct →
dust213–60.199%22 Oct →
cache13–110.0010%22 Oct →
dust213–9-0.0313%18 Oct →
dust29–8-0.0939%17 Oct →
cache13–100.0410%17 Oct →
inferno13–11-0.0113%17 Oct →
inferno11–130.0319%17 Oct →
dust22–13-0.0321%17 Oct →
dust211–13-0.0222%16 Oct →
cache5–130.0213%16 Oct →
dust23–130.0023%16 Oct →
mirage4–13-0.0119%16 Oct →
inferno13–20.0615%16 Oct →
nuke4–13-0.0513%16 Oct →
anubis11–130.0113%16 Oct →
mirage13–100.0910%14 Oct →
dust28–130.0014%14 Oct →
ancient10–130.027%14 Oct →
cache11–130.019%14 Oct →
mirage13–30.0225%13 Oct →
dust213–7-0.0220%13 Oct →
inferno9–13-0.0210%13 Oct →
nuke8–13-0.023%11 Oct →
ancient13–70.038%11 Oct →
inferno12–16-0.0518%10 Oct →
dust28–13-0.0021%10 Oct →
dust211–130.0125%10 Oct →
anubis13–70.014%10 Oct →
dust213–6-0.0616%9 Oct →
cache13–80.067%9 Oct →
dust28–13-0.093%9 Oct →
inferno13–70.0113%9 Oct →
dust211–130.0214%8 Oct →
mirage2–13-0.0211%7 Oct →
mirage13–100.006%7 Oct →
dust211–130.0314%7 Oct →
mirage1–13-0.109%7 Oct →
dust213–8-0.0014%4 Oct →
dust213–100.0218%3 Oct →
anubis0–13-0.074%3 Oct →
dust29–13-0.0111%2 Oct →
mirage13–10-0.0714%2 Oct →
nuke13–40.0111%2 Oct →
ancient13–6-0.036%30 Sept →
dust213–90.0511%29 Sept →
inferno13–8-0.018%29 Sept →
cache11–130.0416%29 Sept →
mirage16–14-0.0312%28 Sept →
dust29–13-0.096%28 Sept →
dust28–13-0.097%25 Sept →
anubis13–40.0413%25 Sept →
mirage4–13-0.0715%25 Sept →
mirage7–13-0.0411%25 Sept →
dust213–90.0313%24 Sept →
dust213–8-0.0912%24 Sept →
ancient6–130.0115%23 Sept →
dust211–130.0215%23 Sept →
dust211–13-0.0022%22 Sept →
cache13–16-0.0213%19 Sept →
ancient5–13-0.036%19 Sept →
cache4–10.1625%19 Sept →
mirage13–70.0017%19 Sept →
dust213–6-0.1117%19 Sept →
mirage5–10.066%19 Sept →
inferno2–13-0.0521%17 Sept →
dust213–60.0010%17 Sept →
mirage15–15-0.0419%16 Sept →
nuke9–13-0.0713%16 Sept →
dust25–13-0.0712%15 Sept →
anubis13–70.0818%15 Sept →
dust23–13-0.0620%15 Sept →

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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