Samsam

Samsam — CS2 Stats

IE76561198126304898[U:1:166039170]Steam profile ↗✓ No bans

688Tracked matches76%Win rate2020Tracked since
CSDB Rating7.5 StrongPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 688 tracked matches. Play, then come back: the next observation lands here.

Rating over time

49Days played since 2022-12-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGSamsamFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim84
Positioning72
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY60–38–2Last 10060%Win rateWLLWWLLWWW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −4.2pp headshot accuracy · −24ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 647ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 639ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 651ms

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 (+3 against its own average).

Aim8.4
Utility3.3
Positioning7.2
Opening Duels6.2
Clutch0.0

Excellent counter-strafing

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 80% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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

Strengths

Counter-strafing. 94% of shots taken properly stopped — movement discipline most players never reach.

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. 660ms 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

Aim8.4
Positioning7.2
Utility3.3
Mechanics9.7
Opening Duels6.0
Win Impact10.0

Composite 7.5/10 (Strong), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time653ms+43ms
first ⅓ avg 609ms → last ⅓ avg 653ms
Headshot accuracy28.4%+13.2%
first ⅓ avg 15.3% → last ⅓ avg 28.4%

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

0.14Best match rating · 13–1 · dust2, 2 Sept →
78%Best headshot accuracy · 13–1 · mirage, 28 Nov →
438msFastest reaction time · 16–10 · inferno, 13 Dec →
16–2Biggest win · mirage, 15 Dec →

Across the last 100 tracked matches.

Highlights

11Longest win streak
9–6In matches decided by ≤2 rounds
65Overtime games

Map breakdown

infernoBest map · 70% over 30dust2Weakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
infernoS3021–970%0.00
mirageB2714–1352%0.01
dust2B115–645%0.03
overpassA106–460%0.02
ancientS64–267%0.03
nukeA53–260%0.00
cache—43–175%0.00
vertigo—41–325%0.00
train—22–0100%0.03
anubis—11–0100%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

479Matches
56%Win rate
1.22Avg K/D
103.2ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%1.3818.0
Ancient10%1.1919.0

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.

29.4%Headshot accuracy
35.4%Accuracy (enemy spotted)
34.1%Spray accuracy
93.5%Counter-strafing
9.7°Preaim
660msReaction time
50.9%T opening success
57.0%CT opening success
0.52Enemies flashed / flash
8.5%Flash assists
9.28HE damage / grenade
14.98Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–100.0316%20 May →
dust26–13-0.0133%20 May →
mirage7–130.0834%18 May →
cache13–9-0.0018%30 Apr →
cache13–110.0320%29 Apr →
cache1–13-0.045%29 Apr →
dust28–130.0231%29 Apr →
inferno13–70.0125%2 Sept →
mirage13–80.0123%2 Sept →
dust213–10.1432%2 Sept →
overpass13–2-0.0415%3 Jul →
anubis13–50.0023%3 Jul →
dust213–7-0.0033%14 Jan →
ancient13–50.0626%14 Jan →
nuke9–130.0030%5 Jan →
vertigo12–12-0.0233%14 Dec →
inferno2–13-0.0329%14 Dec →
vertigo13–60.0812%14 Dec →
dust213–110.0943%14 Dec →
mirage4–13-0.0535%13 Dec →
nuke13–9-0.0238%12 Dec →
inferno13–1-0.0927%12 Dec →
train13–9-0.0433%12 Dec →
dust213–20.0434%1 Dec →
mirage13–20.0528%1 Dec →
mirage13–1-0.0178%28 Nov →
inferno13–00.0741%28 Nov →
train13–50.0930%28 Nov →
overpass13–30.0932%28 Nov →
dust212–40.0635%27 Nov →
inferno13–11-0.0617%26 Nov →
overpass6–16-0.0214%2 Apr →
mirage16–120.0415%29 Mar →
inferno16–70.0123%8 Mar →
mirage12–16-0.0313%5 Mar →
inferno19–160.0023%2 Mar →
mirage16–10-0.0119%2 Mar →
inferno16–140.0625%1 Mar →
overpass16–120.0217%1 Mar →
mirage19–170.0614%1 Mar →
ancient17–19-0.0017%18 Feb →
inferno16–10-0.0021%18 Feb →
inferno14–160.0411%11 Feb →
mirage10–16-0.0313%11 Feb →
nuke14–16-0.0013%11 Feb →
inferno16–110.0311%9 Feb →
inferno19–150.0327%9 Feb →
mirage16–90.0412%4 Feb →
mirage16–14-0.0314%2 Feb →
mirage16–11-0.0121%23 Jan →
inferno16–8-0.0019%22 Jan →
mirage14–160.0115%21 Jan →
inferno12–16-0.0415%21 Jan →
mirage16–80.0719%15 Jan →
mirage8–160.0420%14 Jan →
inferno2–90.1037%13 Jan →
nuke9–6-0.018%13 Jan →
inferno16–140.0218%11 Jan →
inferno16–80.0926%10 Jan →
mirage9–16-0.0216%10 Jan →
dust27–16-0.0316%10 Jan →
overpass16–70.0816%9 Jan →
inferno3–7-0.0723%9 Jan →
overpass16–80.0821%24 Dec →
ancient16–120.0829%23 Dec →
mirage6–16-0.0017%22 Dec →
vertigo13–160.036%19 Dec →
inferno12–160.0032%19 Dec →
inferno2–16-0.0110%19 Dec →
inferno16–11-0.0117%18 Dec →
inferno13–160.0217%18 Dec →
dust212–160.0517%18 Dec →
inferno16–100.0218%18 Dec →
inferno9–16-0.0518%17 Dec →
mirage22–180.0115%17 Dec →
inferno16–120.0023%17 Dec →
mirage16–90.0514%16 Dec →
overpass10–16-0.0214%16 Dec →
mirage13–16-0.048%15 Dec →
ancient3–00.0233%15 Dec →
inferno16–40.068%15 Dec →
mirage22–200.019%15 Dec →
mirage16–20.0416%15 Dec →
overpass16–60.0411%15 Dec →
inferno16–13-0.0516%14 Dec →
ancient16–40.106%14 Dec →
mirage15–150.0110%14 Dec →
overpass9–16-0.0518%14 Dec →
vertigo9–16-0.0816%14 Dec →
mirage8–16-0.0712%14 Dec →
nuke16–90.0421%13 Dec →
mirage12–16-0.0217%13 Dec →
inferno16–10-0.0113%13 Dec →
inferno16–14-0.0213%4 Dec →
overpass12–160.0611%3 Dec →
ancient9–16-0.0311%3 Dec →
mirage14–16-0.0512%2 Dec →
dust211–160.0519%2 Dec →
dust223–25-0.0312%2 Dec →
inferno16–13-0.0218%1 Dec →

Match data via Leetify.

Recent teammates

Milestones

500 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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