Samppa

Samppa — CS2 Stats

76561198070088164[U:1:109822436]Steam profile ↗✓ No bans

1,837Tracked matches55%Win rate2020Tracked since
CSDB Rating5.9 SolidPositional Player
Premier CS Rating20,615Top 50% of 204,412 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)
CSDB Leaderboard#72006 of 251516 tracked
FaceitLevel 8 · 1,408 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (7 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: 20,615 -2,832 23 May – 7 Oct · 18 days played
20,61524,235peak 24,23523 May7 Oct
Faceit ELO: 1,408 +0 9 Sept – 22 Sept · 4 observations
1,4081,408peak 1,4089 Sept22 Sept
24,999Peak Premier in tracked matches
1,408Highest Faceit ELO seen on CSDB
35Days played since 2026-05-23

Faceit ELO

  • At peak — 1,408
  • Next: Level 8 at 1,531 — 123 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-09
  • Level 6 first seen 2026-09-09

Premier CS Rating

  • 3,620 below peak (24,235)
  • -1,041 over 90 days
  • Next: Red band at 25,000 — 4,385 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGSamppaFACEITLevel 8 · 1,408 ELOSTANDINGTop 31.2% of rankedPREMIER20,615 · Pink bandPEAK ELO1,408csdb.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
Positioning49
Utility41

0–100 skill scores via Leetify.

Recent form

HOT51–48–1Last 10051%Win rateWWLLLWWWWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · +2.5pp headshot accuracy · +54ms reaction

Win rate up 20pp 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 635ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 574ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 547ms

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 (+1.1 against its own average).

Aim7.6
Utility4.1
Positioning4.9
Opening Duels3.2
Clutch3.2

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

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning 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. 552ms 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
Positioning4.9
Utility4.1
Mechanics6.5
Opening Duels2.2
Win Impact6.7

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time567ms−67ms
first ⅓ avg 633ms → last ⅓ avg 567ms
Headshot accuracy21.0%+0.7%
first ⅓ avg 20.4% → last ⅓ avg 21.0%

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

0.12Best match rating · 13–1 · ancient, 12 Jul →
45%Best headshot accuracy · 13–5 · cache, 26 Jul →
398msFastest reaction time · 13–3 · ancient, 6 Jun →
13–1Biggest win · ancient, 12 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
6–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

overpassBest map · 60% over 5mirageWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2210–1245%-0.03
ancientA1911–858%0.01
anubisB179–853%-0.00
cacheC177–1041%-0.02
nukeA127–558%-0.02
mirageC52–340%-0.01
overpassA53–260%-0.02
vertigo—22–0100%-0.03
inferno—10–10%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

469Matches
54%Win rate
0.88Avg K/D
67.2ADR
41%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient13263%0.9113.2
Anubis11358%0.9013.6
Dust27348%0.8513.1
Nuke6948%0.8313.3
Mirage2642%0.7712.7
Cache2148%0.9513.5
Train1346%0.7112.1
Overpass1242%0.9115.3

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.

20.4%Headshot accuracy
35.8%Accuracy (enemy spotted)
37.9%Spray accuracy
79.4%Counter-strafing
10.1°Preaim
552msReaction time
36.0%T opening success
41.3%CT opening success
0.58Enemies flashed / flash
3.2%Flash assists
5.25HE damage / grenade
4.51Flashes / 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. 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 36.0224% — below the 40% mark we flag

Spend your practice time on Mirage

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo13–30.0220%13 Oct →
anubis13–10-0.0323%7 Oct →
anubis2–50.0336%3 Oct →
cache9–130.0115%3 Oct →
ancient4–13-0.0511%6 Sept →
anubis13–110.0228%6 Sept →
ancient13–90.0315%3 Sept →
vertigo13–9-0.0833%3 Sept →
ancient13–7-0.017%3 Sept →
cache13–10-0.0318%1 Sept →
anubis13–80.0316%28 Aug →
inferno6–130.0335%28 Aug →
cache13–10-0.0115%28 Aug →
cache12–16-0.0020%27 Aug →
mirage22–18-0.0114%23 Aug →
cache13–9-0.0119%22 Aug →
anubis13–30.0523%16 Aug →
cache7–13-0.029%16 Aug →
anubis11–13-0.0417%16 Aug →
dust24–13-0.0714%16 Aug →
anubis2–13-0.068%27 Jul →
cache7–13-0.0532%27 Jul →
ancient8–13-0.0520%26 Jul →
cache13–5-0.0345%26 Jul →
ancient13–70.0217%26 Jul →
dust213–50.0244%26 Jul →
nuke13–30.0515%24 Jul →
cache15–150.0415%24 Jul →
ancient10–13-0.0331%22 Jul →
cache6–13-0.0515%22 Jul →
anubis13–100.0620%22 Jul →
dust27–13-0.0120%21 Jul →
cache13–7-0.0025%21 Jul →
nuke16–14-0.0518%14 Jul →
cache9–13-0.0714%14 Jul →
cache13–60.0016%13 Jul →
dust216–12-0.0429%12 Jul →
ancient13–10.1222%12 Jul →
cache13–50.0119%12 Jul →
nuke10–13-0.0817%12 Jul →
cache8–13-0.0719%12 Jul →
cache14–16-0.0217%12 Jul →
dust213–70.0118%12 Jul →
dust213–10-0.0534%11 Jul →
anubis14–16-0.046%11 Jul →
ancient13–2-0.035%11 Jul →
nuke13–9-0.0030%11 Jul →
dust210–13-0.0313%11 Jul →
cache8–13-0.0519%7 Jul →
nuke13–50.0221%5 Jul →
ancient7–13-0.0412%5 Jul →
overpass7–13-0.0315%5 Jul →
anubis9–130.018%25 Jun →
nuke11–13-0.0814%24 Jun →
dust213–90.0417%24 Jun →
ancient7–13-0.0224%23 Jun →
anubis14–160.0616%18 Jun →
dust213–9-0.0114%16 Jun →
ancient9–130.0028%14 Jun →
dust214–16-0.0518%14 Jun →
dust213–9-0.058%14 Jun →
anubis13–3-0.038%14 Jun →
dust23–13-0.0426%14 Jun →
nuke4–13-0.0911%14 Jun →
overpass13–110.0116%14 Jun →
dust213–10-0.0620%14 Jun →
anubis6–13-0.0334%10 Jun →
dust26–13-0.029%10 Jun →
overpass10–13-0.0214%9 Jun →
mirage10–13-0.0613%6 Jun →
overpass13–10-0.0628%6 Jun →
mirage10–130.0019%6 Jun →
anubis11–13-0.0418%6 Jun →
ancient13–80.1134%6 Jun →
dust27–13-0.0118%6 Jun →
mirage13–100.0316%6 Jun →
ancient13–30.0423%6 Jun →
dust212–160.0122%6 Jun →
anubis13–90.0016%6 Jun →
ancient13–7-0.0420%6 Jun →
nuke13–70.0026%6 Jun →
ancient13–110.0029%6 Jun →
dust27–13-0.0323%6 Jun →
mirage8–13-0.0321%4 Jun →
ancient11–130.0119%2 Jun →
dust216–14-0.0513%2 Jun →
anubis13–80.036%2 Jun →
nuke6–13-0.0833%2 Jun →
ancient13–70.0213%2 Jun →
dust216–14-0.0413%28 May →
nuke13–30.0142%28 May →
anubis13–6-0.077%28 May →
dust27–13-0.0016%28 May →
dust24–130.0120%28 May →
ancient5–13-0.019%28 May →
overpass13–70.026%23 May →
nuke6–13-0.0745%23 May →
ancient13–90.0320%23 May →
dust211–13-0.0827%23 May →
nuke13–20.1235%23 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.