Soggo | Nackenklatsche2go

Soggo | Nackenklatsche2go — CS2 Stats

CH76561198843991415[U:1:883725687]Steam profile ↗✓ No bans

416Tracked matches66%Win rate2020Tracked since
CSDB Rating7.4 StrongSupport
Premier CS Rating21,219Top 50% of 201,122 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)
CSDB Leaderboard#63669 of 247942 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 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: 21,219 +398 23 Dec – 1 Oct · 24 days played
18,44922,378peak 22,37823 Dec1 Oct
22,669Peak Premier in tracked matches
40Days played since 2025-12-23

Premier CS Rating

  • 1,159 below peak (22,378)
  • +2,770 over 30 days · improving
  • Next: Red band at 25,000 — 3,781 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.

Share this profile

CSDB.GGSoggo | Nackenklatsche2goFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER21,219 · Pink bandcsdb.gg/stats

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Performance scores

Aim90
Positioning57
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY50–39–11Last 10050%Win rateWWLWWLLLWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −0.6pp headshot accuracy · +2ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 580ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 564ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 563ms

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 (+1.4 against its own average).

Aim9.0
Utility5.7
Positioning5.7
Opening Duels2.1
Clutch3.6

Sharp aimerExcellent 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

b1t

Plays most like b1t 89% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: 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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

Reaction time. 569ms 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
Positioning5.7
Utility5.7
Mechanics8.6
Opening Duels2.4
Win Impact10.0

Composite 7.4/10 (Strong), 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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time569ms−64ms
first ⅓ avg 633ms → last ⅓ avg 569ms
Headshot accuracy23.3%+1.4%
first ⅓ avg 21.9% → last ⅓ avg 23.3%

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

0.13Best match rating · 13–3 · inferno, 25 Sept →
39%Best headshot accuracy · 13–9 · anubis, 23 Jan →
438msFastest reaction time · 7–13 · inferno, 27 Dec →
13–2Biggest win · mirage, 25 Jan →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
9–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 67% over 21nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA2515–1060%-0.01
infernoS2114–767%0.02
anubisC125–742%-0.01
nukeD123–925%-0.01
cacheC94–544%0.00
dust2C94–544%-0.02
ancientC73–443%0.02
overpass—20–20%-0.03
fachwerk—11–0100%-0.02
train—11–0100%0.04
vertigo—10–10%0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

62Matches
58%Win rate
1.22Avg K/D
86.7ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
35%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis875%1.4117.9
Inferno850%1.7716.3
Mirage743%0.9615.6
Ancient4100%1.5622.8
Cache1100%0.6714.0

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.

23.0%Headshot accuracy
38.8%Accuracy (enemy spotted)
41.5%Spray accuracy
88.8%Counter-strafing
8.1°Preaim
569msReaction time
46.7%T opening success
32.3%CT opening success
0.59Enemies flashed / flash
6.0%Flash assists
8.81HE damage / grenade
10.26Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.2762% — below the 40% mark we flag

Spend your practice time on Nuke

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 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–70.0129%1 Oct →
inferno13–30.1327%25 Sept →
anubis4–13-0.0123%25 Sept →
mirage13–11-0.0412%25 Sept →
cache13–60.0323%23 Sept →
inferno11–13-0.0319%23 Sept →
ancient8–13-0.0711%21 Sept →
mirage11–13-0.0529%21 Sept →
mirage13–90.0136%20 Sept →
anubis13–10-0.0314%19 Sept →
mirage9–13-0.0333%18 Sept →
anubis6–130.0338%17 Sept →
mirage15–15-0.0624%16 Sept →
mirage8–130.0222%16 Sept →
cache16–13-0.0015%16 Sept →
ancient13–40.0329%15 Sept →
ancient13–30.1215%15 Sept →
inferno13–110.0416%15 Sept →
mirage13–80.0420%15 Sept →
nuke13–5-0.0818%15 Sept →
ancient9–13-0.0317%15 Sept →
ancient13–90.0230%14 Sept →
inferno13–70.0622%14 Sept →
inferno13–11-0.0534%14 Sept →
inferno13–40.0120%14 Sept →
mirage13–30.0323%14 Sept →
nuke0–80.0536%14 Sept →
mirage13–3-0.0318%13 Sept →
dust26–13-0.0632%13 Sept →
anubis13–11-0.0120%13 Sept →
cache13–70.0326%13 Sept →
nuke10–130.0321%13 Sept →
inferno13–7-0.0320%8 Sept →
inferno13–30.0928%8 Sept →
inferno15–15-0.0216%8 Sept →
cache15–150.0120%7 Sept →
anubis13–16-0.0621%7 Sept →
anubis13–5-0.0015%7 Sept →
inferno13–4-0.0210%7 Sept →
anubis15–15-0.0316%3 Sept →
mirage15–150.0314%3 Sept →
inferno7–30.1121%3 Sept →
cache11–130.0217%3 Sept →
dust213–50.0719%3 Sept →
mirage13–60.0528%3 Sept →
cache3–13-0.0812%3 Sept →
anubis10–13-0.044%1 Sept →
dust215–150.0423%28 Aug →
mirage9–13-0.0338%28 Aug →
dust211–130.0022%28 Aug →
mirage13–8-0.0122%28 Aug →
anubis13–4-0.0612%25 Aug →
nuke15–15-0.0216%25 Aug →
mirage13–8-0.0314%25 Aug →
nuke8–13-0.0227%23 Aug →
anubis9–13-0.0214%23 Aug →
ancient11–130.0621%17 Aug →
cache13–5-0.0013%14 Aug →
mirage16–130.0426%14 Aug →
fachwerk13–4-0.0218%9 Aug →
inferno10–130.0218%3 Aug →
cache4–130.0525%9 Jun →
nuke8–80.0418%18 May →
cache1–13-0.0318%18 May →
mirage13–110.0025%26 Jan →
mirage13–2-0.046%25 Jan →
dust27–13-0.0815%25 Jan →
mirage13–11-0.0113%23 Jan →
anubis13–90.0639%23 Jan →
mirage2–13-0.0213%23 Jan →
dust213–7-0.0218%23 Jan →
anubis15–150.0118%22 Jan →
inferno9–13-0.0115%19 Jan →
nuke13–6-0.0226%19 Jan →
inferno15–15-0.0426%13 Jan →
nuke13–8-0.067%8 Jan →
inferno1–7-0.0113%8 Jan →
inferno3–00.0033%8 Jan →
overpass7–13-0.0720%8 Jan →
nuke7–130.0221%3 Jan →
nuke5–13-0.0910%3 Jan →
mirage13–3-0.0233%3 Jan →
dust213–11-0.0317%2 Jan →
mirage11–130.0228%2 Jan →
nuke10–13-0.0016%30 Dec →
ancient13–16-0.0326%30 Dec →
inferno13–6-0.0332%30 Dec →
train13–70.0427%29 Dec →
mirage7–13-0.0331%29 Dec →
dust26–13-0.0430%28 Dec →
overpass2–110.0113%27 Dec →
vertigo4–130.1031%27 Dec →
inferno7–13-0.0117%27 Dec →
nuke8–130.0724%27 Dec →
mirage12–12-0.0323%27 Dec →
inferno16–140.0123%27 Dec →
dust213–11-0.0316%26 Dec →
inferno13–70.0823%26 Dec →
inferno13–90.0425%26 Dec →
mirage13–20.0018%23 Dec →

Match data via Leetify.

Recent teammates

Milestones

100 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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