Sumpfkind

Sumpfkind — CS2 Stats

DE76561198343991189[U:1:383725461]Steam profile ↗✓ No bans

1,666Tracked matches40%Win rate2020Tracked since
2,466Hours in CS
CSDB Rating5.6 SolidSupport
CSDB Leaderboard#50505 of 247973 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 22,251 +1,667 13 Mar – 26 Jun · 27 days played
20,49623,478peak 23,47813 Mar26 Jun
23,654Peak Premier in tracked matches
35Days played since 2026-03-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches6——
Win rate67%——
K/D0.85——
Headshot %63%——

Measured 30 Aug 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim63
Positioning52
Utility58

0–100 skill scores via Leetify.

Recent form

COLD49–50–1Last 10049%Win rateLLLLLWWLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.4pp headshot accuracy · −59ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 619ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 598ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 627ms

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 (+1.1 against its own average).

Aim6.3
Utility5.8
Positioning5.2
Opening Duels4.6
Clutch3.2

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

ZywOo

Plays most like ZywOo 82% 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 56% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.3
Positioning5.2
Utility5.8
Mechanics8.4
Opening Duels3.9
Win Impact1.7

Composite 5.6/10 (Solid), 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 rating-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time616ms+2ms
first ⅓ avg 615ms → last ⅓ avg 616ms
Headshot accuracy16.8%−1.4%
first ⅓ avg 18.2% → last ⅓ avg 16.8%

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

0.10Best match rating · 13–8 · dust2, 18 Apr →
47%Best headshot accuracy · 8–13 · dust2, 2 Apr →
406msFastest reaction time · 13–5 · inferno, 13 Jun →
13–1Biggest win · ancient, 2 Apr →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
8–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 67% over 6dust2Weakest map · 39% over 38
MapGradePlayedRecordWin rateAvg rating
dust2C3815–2339%-0.02
ancientC2310–1343%-0.02
nukeA1912–763%-0.01
overpassB84–450%-0.03
anubisS64–267%-0.00
cache—43–175%-0.04
inferno—21–150%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 38). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

138,408Lifetime kills
0.95K/D
6,296Matches
38.7%Match win rate
46.2%Headshot % · Top 50% of tracked players
13.7%Shot accuracy · Top 50% of tracked players
26,381MVPs
2,466Hours (in match)
4,422Bombs planted
1,052Bombs defused

Most-used weapons

AK-4740,078
AWP13,978
AUG3,744
MP93,116
SG 5533,001

Lifetime map wins

16,570nuke
15,514dust2
4,231inferno
633vertigo
577train
217cbble
217safehouse
196bank

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

Faceit stats

Combat

609Matches
53%Win rate
1.02Avg K/D
75.3ADR
41%Headshot %

Clutches & streaks

36%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient3647%0.8413.8
Dust23650%0.9114.2
Nuke3471%1.0713.9
Anubis2658%0.9715.2
Inferno2462%0.9613.5
Mirage20%0.7411.5
Italy1100%1.1622.0
Cache1100%1.5015.0

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.

17.6%Headshot accuracy
30.9%Accuracy (enemy spotted)
33.7%Spray accuracy
88.0%Counter-strafing
10.6°Preaim
615msReaction time
34.7%T opening success
56.2%CT opening success
0.58Enemies flashed / flash
7.7%Flash assists
8.52HE damage / grenade
13.91Flashes / 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 34.736% — below the 40% mark we flag

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.

39% win rate across 38 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
dust210–13-0.0111%4 Sept →
dust22–13-0.045%21 Aug →
dust24–13-0.078%14 Aug →
dust29–13-0.0127%14 Aug →
ancient10–130.0425%14 Aug →
nuke11–40.0431%14 Aug →
dust213–7-0.0523%14 Aug →
dust29–13-0.0526%7 Aug →
ancient9–13-0.0314%31 Jul →
cache13–9-0.0617%31 Jul →
dust27–13-0.0611%31 Jul →
dust210–130.0018%10 Jul →
cache13–5-0.0216%10 Jul →
dust213–2-0.0026%10 Jul →
nuke7–13-0.0110%10 Jul →
ancient7–13-0.0621%26 Jun →
anubis9–130.0318%26 Jun →
ancient10–13-0.0426%26 Jun →
inferno10–130.0210%25 Jun →
nuke13–50.0317%25 Jun →
nuke7–130.0216%20 Jun →
anubis13–20.0017%20 Jun →
ancient16–120.0421%20 Jun →
ancient9–13-0.0724%19 Jun →
nuke13–4-0.0116%19 Jun →
ancient2–13-0.0714%19 Jun →
nuke10–13-0.0512%13 Jun →
dust213–5-0.0411%13 Jun →
inferno13–50.1011%13 Jun →
overpass13–8-0.0522%13 Jun →
dust213–4-0.095%12 Jun →
dust213–10-0.017%12 Jun →
ancient13–10-0.0218%11 Jun →
dust210–13-0.106%6 Jun →
nuke13–70.0122%6 Jun →
overpass11–13-0.0112%6 Jun →
ancient16–130.0312%5 Jun →
ancient13–50.0518%5 Jun →
nuke16–14-0.0714%5 Jun →
ancient13–80.0213%5 Jun →
ancient3–13-0.0521%30 May →
dust211–130.0115%30 May →
dust213–110.0321%30 May →
nuke7–130.0526%29 May →
anubis5–13-0.0610%29 May →
ancient12–16-0.0712%29 May →
nuke13–100.0220%25 May →
nuke13–16-0.0319%25 May →
overpass5–13-0.0319%24 May →
overpass13–4-0.036%24 May →
ancient13–5-0.0714%24 May →
dust216–13-0.0514%24 May →
nuke9–13-0.084%24 May →
cache6–13-0.0410%24 May →
cache13–7-0.0315%24 May →
dust25–130.0216%23 May →
dust211–13-0.0414%23 May →
nuke13–110.0513%22 May →
dust25–130.0724%22 May →
dust213–60.0126%22 May →
dust29–13-0.0221%25 Apr →
dust26–13-0.0423%24 Apr →
nuke16–14-0.0813%19 Apr →
overpass13–10-0.0514%18 Apr →
ancient13–70.0022%18 Apr →
dust213–80.1020%18 Apr →
anubis13–6-0.0114%18 Apr →
nuke13–7-0.0020%18 Apr →
nuke7–130.0113%18 Apr →
overpass10–13-0.0617%18 Apr →
dust25–13-0.0216%17 Apr →
ancient4–13-0.0420%17 Apr →
dust29–13-0.0420%11 Apr →
dust25–13-0.0316%11 Apr →
ancient9–13-0.0313%11 Apr →
dust213–11-0.0214%10 Apr →
nuke13–2-0.0214%10 Apr →
ancient12–16-0.0320%5 Apr →
overpass13–4-0.0114%5 Apr →
dust213–30.0929%5 Apr →
ancient6–13-0.0115%4 Apr →
dust216–13-0.0329%4 Apr →
dust211–13-0.0723%4 Apr →
dust29–13-0.035%3 Apr →
nuke13–10-0.0014%3 Apr →
ancient13–50.0918%3 Apr →
anubis16–14-0.0114%3 Apr →
ancient5–13-0.0711%3 Apr →
nuke13–60.0016%3 Apr →
overpass5–130.0126%3 Apr →
dust213–4-0.0314%3 Apr →
dust28–13-0.0547%2 Apr →
dust213–11-0.0117%2 Apr →
ancient13–10.0410%2 Apr →
dust213–11-0.0323%2 Apr →
ancient13–40.0121%2 Apr →
dust211–130.0119%27 Mar →
anubis13–100.0319%14 Mar →
dust215–15-0.0221%13 Mar →
dust27–13-0.0513%13 Mar →

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 →

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