Sokka Amo del Nenas Control

Sokka Amo del Nenas Control — CS2 Stats

MN76561198343596869[U:1:383331141]Steam profile ↗✓ No bans

2,947Tracked matches57%Win rate2020Tracked since
6,539Hours in CS18Hrs last 2 wks
CSDB Rating7.6 StrongPositional Player
Premier CS Rating25,906Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#14615 of 261548 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 25,906 +785 23 Aug – 13 Nov · 19 days played
25,02026,405peak 26,40523 Aug13 Nov
26,595Peak Premier in tracked matches
44Days played since 2026-08-23

Premier CS Rating

  • 499 below peak (26,405)
  • +589 over 30 days · improving
  • +785 over 90 days
  • Next: Gold band at 30,000 — 4,094 to go
  • Reached: Red band · Pink band · Purple band · 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 Level 8 among CSDB-tracked players (n=15,525), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate46.4%46.8%48.2%1.8% short
Shot accuracy15.3%13.0%13.2%above
Kill/death ratio1.281.061.07above
Match win rate43.2%46.3%46.9%3.8% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSokka Amo del Nenas Contr…FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER25,906 · Red 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

Aim90
Positioning62
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY56–39–5Last 10056%Win rateWWLWLWWWLT

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating · −0.3pp headshot accuracy · +86ms reaction

Win rate up 20pp 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 0.06
  • Avg headshot accuracy 26%
  • Avg reaction 578ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 660ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 617ms

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).

Aim9.0
Utility4.0
Positioning6.2
Opening Duels4.6
Clutch3.2

Sharp aimerExcellent counter-strafingLimited 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

donk

Plays most like donk 90% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 615ms 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

Aim9.0
Positioning6.2
Utility4.0
Mechanics8.9
Opening Duels5.8
Win Impact7.4

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.00
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time613ms+14ms
first ⅓ avg 599ms → last ⅓ avg 613ms
Headshot accuracy28.0%−0.5%
first ⅓ avg 28.5% → last ⅓ avg 28.0%

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

0.23Best match rating · 13–0 · mirage, 31 Oct →
67%Best headshot accuracy · 13–4 · dust2, 12 Oct →
430msFastest reaction time · 5–13 · inferno, 16 Sept →
13–0Biggest win · mirage, 31 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
12–2In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 80% over 10cacheWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB3920–1951%0.05
dust2A1810–856%0.01
nukeS108–280%0.04
infernoS107–370%0.04
cacheB105–550%0.03
anubis—31–233%0.11
office—30–30%0.06
ancient—32–167%0.01
train—21–150%0.03
overpass—11–0100%0.04
vertigo—11–0100%0.10

Across the last 100 tracked matches.

Lifetime stats

259,001Lifetime kills
1.28K/D · Top 25% of Level 8 players
11,010Matches
43.2%Match win rate
46.4%Headshot %
15.3%Shot accuracy · Top 50% of Level 8 players
38,901MVPs
3,797Hours (in match)
7,875Bombs planted
2,780Bombs defused

Most-used weapons

AK-4792,143
AWP39,647
P2506,744
MAC-104,963
FAMAS3,762
MP93,494

Lifetime map wins

14,059inferno
11,819dust2
5,541nuke
4,492train
3,979vertigo
2,287cbble
455lake
263shorttrain

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

Faceit stats

Combat

196Matches
57%Win rate
1.50Avg K/D
104.8ADR
51%Headshot %

Clutches & streaks

36%1v1 clutch win
27%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3479%1.7321.6
Inferno1464%1.4419.1
Nuke1362%1.7122.5
Dust21354%1.4018.1
Anubis1233%1.4720.3
Ancient933%1.5119.4
Overpass850%1.8516.3
Vertigo560%1.8418.8

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.

27.3%Headshot accuracy
39.4%Accuracy (enemy spotted)
44.0%Spray accuracy
89.9%Counter-strafing
10.4°Preaim
615msReaction time
58.3%T opening success
47.8%CT opening success
0.45Enemies flashed / flash
5.6%Flash assists
8.31HE damage / grenade
3.40Flashes / 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. 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 0.4487 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–20.0937%13 Nov →
inferno13–100.0121%13 Nov →
mirage2–100.0232%11 Nov →
mirage13–80.1017%11 Nov →
anubis6–130.0925%11 Nov →
mirage13–80.0826%11 Nov →
mirage13–110.1322%11 Nov →
dust213–11-0.1422%10 Nov →
dust25–13-0.0431%7 Nov →
cache12–120.0222%7 Nov →
dust24–13-0.110%5 Nov →
dust22–13-0.1033%5 Nov →
train7–130.0435%4 Nov →
dust28–130.0031%4 Nov →
mirage13–80.0429%4 Nov →
mirage12–12-0.0529%4 Nov →
office7–130.0042%4 Nov →
mirage13–40.1023%3 Nov →
mirage13–60.0715%3 Nov →
overpass13–80.0421%3 Nov →
mirage13–10.0622%2 Nov →
mirage7–130.1044%1 Nov →
office5–130.0831%1 Nov →
office4–130.1147%1 Nov →
dust213–20.0833%31 Oct →
mirage13–00.2333%31 Oct →
train13–70.0233%29 Oct →
mirage13–10.0924%29 Oct →
mirage13–80.0219%29 Oct →
dust210–130.0932%28 Oct →
inferno8–80.0738%28 Oct →
mirage9–130.0629%28 Oct →
mirage11–13-0.0127%26 Oct →
dust213–100.0915%26 Oct →
cache4–130.0926%24 Oct →
mirage6–130.0824%24 Oct →
dust29–130.0424%24 Oct →
inferno13–80.0732%24 Oct →
cache9–13-0.0131%23 Oct →
mirage13–110.1426%22 Oct →
mirage1–7-0.0320%22 Oct →
mirage5–13-0.0517%22 Oct →
ancient16–14-0.0323%21 Oct →
nuke13–30.0327%21 Oct →
cache13–100.0923%21 Oct →
inferno13–70.0038%19 Oct →
cache13–16-0.0319%19 Oct →
dust213–110.0830%19 Oct →
mirage13–10.0427%18 Oct →
mirage12–120.1333%15 Oct →
ancient2–13-0.0128%15 Oct →
nuke13–7-0.0325%15 Oct →
inferno13–100.1133%13 Oct →
dust22–13-0.120%13 Oct →
dust213–6-0.0023%12 Oct →
dust213–40.1167%12 Oct →
mirage13–110.0129%11 Oct →
mirage12–120.0822%10 Oct →
cache13–10-0.0333%8 Oct →
mirage7–130.0716%4 Oct →
mirage10–130.0822%30 Sept →
inferno11–130.1226%30 Sept →
dust213–110.1318%30 Sept →
mirage3–130.0118%30 Sept →
mirage4–13-0.0336%26 Sept →
cache13–2-0.0017%25 Sept →
vertigo13–30.1046%23 Sept →
anubis13–20.1433%22 Sept →
mirage13–90.0638%21 Sept →
nuke13–110.0424%21 Sept →
cache13–40.1234%17 Sept →
inferno5–13-0.0228%16 Sept →
mirage13–80.1330%16 Sept →
dust213–110.0231%16 Sept →
mirage8–13-0.0427%14 Sept →
ancient13–60.0836%14 Sept →
nuke1–13-0.0240%14 Sept →
mirage7–13-0.0139%14 Sept →
nuke13–110.0727%14 Sept →
mirage13–80.0235%13 Sept →
anubis9–130.1025%13 Sept →
mirage8–13-0.0317%10 Sept →
dust27–130.0015%10 Sept →
mirage7–13-0.0234%8 Sept →
nuke13–4-0.0137%6 Sept →
cache7–130.0322%5 Sept →
mirage13–50.0112%5 Sept →
nuke7–130.1229%5 Sept →
dust216–140.0025%5 Sept →
inferno13–30.0429%5 Sept →
mirage13–20.0233%5 Sept →
mirage9–13-0.0417%4 Sept →
mirage13–80.1224%29 Aug →
inferno13–10-0.0616%29 Aug →
nuke13–30.1140%29 Aug →
mirage13–90.1425%28 Aug →
dust213–90.0825%28 Aug →
inferno13–110.0534%28 Aug →
nuke13–30.0333%23 Aug →
cache13–8-0.0229%23 Aug →

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.