Sopp

Sopp — CS2 Stats

NO76561198038320305[U:1:78054577]Steam profile ↗✓ No bans

732Tracked matches67%Win rate2021Tracked since
CSDB Rating4.7 DevelopingSupport
FaceitLevel 6 · 1,203 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

+5Tracked matches · now 732
0.0ppWin rate · 66.7% → 66.7%

Rating over time

1,283Highest Faceit ELO seen on CSDB
46Days played since 2025-11-06

Faceit ELO

  • 80 below peak (1,283)
  • Next: Level 7 at 1,351 — 148 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-06
  • Level 5 first seen 2026-09-06

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGSoppFACEITLevel 6 · 1,203 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,283csdb.gg/stats

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Performance scores

Aim50
Positioning43
Utility57

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateWWWLLWWWWW

Last 10 vs previous 10: +40pp win rate · +0.01 avg rating · −3.4pp headshot accuracy · −101ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 619ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 613ms

Last 20

  • 12–5–3 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 663ms

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 (+1.7 against its own average).

Aim5.0
Utility5.7
Positioning4.3
Opening Duels1.8
Clutch4.2

Strong CT-side opener

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 78% 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

T-side openings. Opening success drops from 45% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 642ms 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

Aim5.0
Positioning4.3
Utility5.7
Mechanics5.3
Opening Duels1.9
Win Impact10.0

Composite 4.7/10 (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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time636ms−6ms
first ⅓ avg 641ms → last ⅓ avg 636ms
Headshot accuracy14.8%+2.4%
first ⅓ avg 12.4% → last ⅓ avg 14.8%

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 · 13–4 · mirage, 25 Nov →
30%Best headshot accuracy · 13–10 · dust2, 16 Oct →
422msFastest reaction time · 13–3 · mirage, 11 Feb →
13–0Biggest win · ancient, 8 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
14–12In matches decided by ≤2 rounds
19Overtime games

Map breakdown

dust2Best map · 67% over 15anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2515–1060%0.00
infernoS1711–665%0.01
dust2S1510–567%-0.01
ancientA148–657%0.01
nukeB115–645%-0.03
anubisD71–614%-0.02
overpassC73–443%-0.01
cache—22–0100%-0.02
cache_b—10–10%-0.09
train—10–10%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

588Matches
51%Win rate
1.00Avg K/D
75.0ADR
36%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage15245%1.0014.9
Dust27854%0.9915.0
Anubis7149%1.0315.2
Ancient6656%1.0716.4
Inferno5650%1.0514.7
Nuke3959%1.1015.1
Vertigo3762%1.1715.9
Overpass1573%1.2813.7

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.

14.4%Headshot accuracy
34.1%Accuracy (enemy spotted)
39.5%Spray accuracy
74.0%Counter-strafing
11.6°Preaim
642msReaction time
25.3%T opening success
45.2%CT opening success
0.52Enemies flashed / flash
5.3%Flash assists
9.15HE damage / grenade
8.84Flashes / 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 14.4357% — 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 25.3352% — below the 40% mark we flag

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0130%16 Oct →
anubis13–110.0311%6 Oct →
cache13–2-0.0119%6 Oct →
anubis3–13-0.118%3 Oct →
anubis6–13-0.0916%3 Oct →
mirage13–11-0.0723%13 Aug →
dust213–8-0.037%29 Jul →
ancient16–130.0418%29 Jul →
mirage13–4-0.026%29 Jul →
cache16–14-0.026%29 Jul →
mirage13–10-0.0522%17 Mar →
dust25–13-0.086%17 Mar →
overpass6–13-0.0720%11 Mar →
overpass13–3-0.019%11 Mar →
ancient13–0-0.0529%8 Mar →
overpass12–12-0.0322%8 Mar →
inferno12–12-0.0417%8 Mar →
dust213–2-0.0312%8 Mar →
dust212–12-0.0016%7 Mar →
mirage11–13-0.0427%7 Mar →
dust23–130.0219%7 Mar →
mirage13–110.039%24 Feb →
mirage19–150.019%22 Feb →
nuke13–11-0.047%22 Feb →
anubis11–130.0413%22 Feb →
nuke14–16-0.0415%20 Feb →
inferno13–8-0.056%17 Feb →
inferno13–80.0311%14 Feb →
anubis7–13-0.0120%14 Feb →
nuke16–13-0.049%14 Feb →
inferno13–100.0317%12 Feb →
mirage9–130.068%12 Feb →
nuke9–13-0.0325%11 Feb →
dust213–70.0119%11 Feb →
mirage13–30.014%11 Feb →
overpass14–16-0.0213%2 Feb →
nuke10–130.0514%2 Feb →
mirage10–13-0.057%29 Jan →
dust211–130.0517%28 Jan →
inferno13–20.159%28 Jan →
ancient13–20.0210%21 Jan →
mirage19–160.009%21 Jan →
inferno13–50.0311%21 Jan →
anubis10–130.049%20 Jan →
mirage11–13-0.0114%20 Jan →
cache_b14–16-0.095%12 Jan →
anubis10–13-0.058%12 Jan →
nuke2–12-0.0714%11 Jan →
dust216–140.015%11 Jan →
inferno16–14-0.033%10 Jan →
train7–13-0.055%8 Jan →
ancient13–60.0610%8 Jan →
inferno10–130.0313%6 Jan →
inferno11–13-0.0514%6 Jan →
mirage13–70.089%20 Dec →
ancient11–13-0.0118%20 Dec →
ancient7–13-0.0111%20 Dec →
dust216–14-0.0421%18 Dec →
nuke3–13-0.0717%18 Dec →
ancient13–80.037%18 Dec →
nuke5–13-0.0513%18 Dec →
inferno16–14-0.0215%9 Dec →
ancient13–16-0.0211%9 Dec →
ancient10–130.0218%6 Dec →
dust219–17-0.0314%3 Dec →
inferno13–20.0114%2 Dec →
dust213–70.039%2 Dec →
ancient13–100.0415%30 Nov →
mirage14–160.0121%30 Nov →
dust213–70.0611%30 Nov →
dust28–13-0.066%30 Nov →
mirage13–11-0.026%27 Nov →
mirage16–14-0.0515%27 Nov →
mirage5–13-0.0013%27 Nov →
mirage19–17-0.0511%26 Nov →
mirage13–40.2115%25 Nov →
mirage13–80.0719%25 Nov →
overpass13–30.0812%25 Nov →
inferno13–100.0618%24 Nov →
mirage11–130.0222%24 Nov →
overpass13–100.019%24 Nov →
mirage10–130.048%22 Nov →
inferno10–130.0112%22 Nov →
inferno6–130.0513%22 Nov →
inferno13–4-0.0322%22 Nov →
nuke13–10-0.014%22 Nov →
ancient10–13-0.029%20 Nov →
nuke13–11-0.0010%20 Nov →
ancient13–7-0.0320%18 Nov →
mirage3–13-0.069%18 Nov →
mirage10–13-0.079%13 Nov →
ancient13–70.0213%13 Nov →
mirage13–90.0111%12 Nov →
nuke19–16-0.0214%11 Nov →
mirage13–100.017%11 Nov →
inferno13–50.0411%11 Nov →
inferno7–13-0.119%10 Nov →
overpass7–13-0.038%10 Nov →
ancient17–190.0618%7 Nov →
dust29–4-0.047%6 Nov →

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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