ksd

ksd — CS2 Stats

76561198878422419[U:1:918156691]Steam profile ↗✓ No bans

2,247Tracked matches37%Win rate2020Tracked since
CSDB Rating7.1 StrongPositional Player
Premier CS Rating24,278Top 25% of 204,412 CSDB-tracked playersPink band · top ~3.8% of ranked players (population est.)
CSDB Leaderboard#28797 of 251770 tracked
FaceitLevel 9 · 2,268 ELOTop 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

+170Premier CS Rating · 24,108 → 24,278

Rating over time

Premier CS Rating: 24,278 +627 1 Aug – 14 Oct · 26 days played
23,65125,100peak 25,1001 Aug14 Oct
25,100Peak Premier in tracked matches
2,268Highest Faceit ELO seen on CSDB
44Days played since 2026-07-20

Faceit ELO

  • At peak — 2,268
  • Next: 2,500 ELO at 2,500 — 232 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-04
  • Level 9 first seen 2026-09-04

Premier CS Rating

  • 822 below peak (25,100)
  • -822 over 30 days · declining
  • Next: Red band at 25,000 — 722 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-04
  • Purple band first seen 2026-09-04

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.GGksdFACEITLevel 9 · 2,268 ELOSTANDINGTop 20.7% of rankedPREMIER24,278 · Pink bandPEAK ELO2,268csdb.gg/stats

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Performance scores

Aim93
Positioning69
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY41–56–3Last 10041%Win rateWLLLWWWLWL

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · +0.5pp headshot accuracy · −72ms reaction

Win rate up 30pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 528ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 503ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 540ms

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 (+1.3 against its own average).

Aim9.3
Utility5.8
Positioning6.9
Opening Duels5.9
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

s1mple

Plays most like s1mple 95% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

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

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

Aim9.3
Positioning6.9
Utility5.8
Mechanics8.9
Opening Duels5.3
Win Impact0.6

Composite 7.1/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time537ms−42ms
first ⅓ avg 579ms → last ⅓ avg 537ms
Headshot accuracy23.0%−1.1%
first ⅓ avg 24.1% → last ⅓ avg 23.0%

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

0.30Best match rating · 9–2 · nuke, 7 Aug →
100%Best headshot accuracy · 2–0 · ancient, 29 Aug →
375msFastest reaction time · 13–3 · mirage, 8 Oct →
13–1Biggest win · train, 30 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
13–12In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 63% over 19infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC239–1439%0.01
ancientA1912–763%0.04
cacheD165–1131%0.01
dust2D123–925%0.01
nukeC114–736%0.01
infernoD92–722%0.04
anubisA53–260%-0.01
vertigo—32–167%0.08
train—11–0100%0.08
office—10–10%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,841Matches
51%Win rate
1.03Avg K/D
79.2ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage44749%1.0615.7
Nuke19455%1.1416.3
Ancient19351%1.1216.7
Dust216246%1.0115.1
Anubis16049%1.0015.1
Inferno10353%1.0716.1
Train6256%1.0716.5
Vertigo5756%1.0615.4

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.

22.7%Headshot accuracy
38.4%Accuracy (enemy spotted)
42.5%Spray accuracy
90.0%Counter-strafing
7.7°Preaim
533msReaction time
48.5%T opening success
53.8%CT opening success
0.61Enemies flashed / flash
8.3%Flash assists
6.63HE damage / grenade
8.76Flashes / match

Recommended for you

Spend your practice time on Inferno

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.0713%14 Oct →
dust24–13-0.0125%14 Oct →
mirage6–13-0.0211%10 Oct →
inferno0–13-0.0326%9 Oct →
mirage13–110.0225%8 Oct →
mirage13–30.0913%8 Oct →
mirage13–9-0.0127%5 Oct →
cache1–13-0.0323%3 Oct →
cache13–110.0227%2 Oct →
ancient5–13-0.0324%2 Oct →
ancient9–130.0327%1 Oct →
train13–10.0826%30 Sept →
mirage5–13-0.0013%30 Sept →
inferno14–160.0622%29 Sept →
ancient7–13-0.0314%27 Sept →
nuke11–13-0.0128%25 Sept →
dust23–13-0.0023%25 Sept →
cache4–13-0.0214%25 Sept →
cache13–11-0.0228%25 Sept →
ancient11–13-0.0314%24 Sept →
ancient16–130.0428%24 Sept →
vertigo13–80.0626%23 Sept →
nuke7–9-0.0612%23 Sept →
nuke6–9-0.1244%23 Sept →
vertigo13–40.1826%23 Sept →
mirage10–13-0.0325%23 Sept →
anubis10–130.0116%22 Sept →
ancient7–13-0.0026%22 Sept →
mirage13–160.0421%22 Sept →
cache5–13-0.0428%21 Sept →
mirage7–130.0234%21 Sept →
anubis13–60.0326%17 Sept →
ancient13–90.0625%17 Sept →
cache13–30.0440%17 Sept →
ancient13–110.0718%8 Sept →
mirage16–140.0219%7 Sept →
mirage5–13-0.0730%6 Sept →
dust213–60.0326%6 Sept →
mirage12–120.1022%6 Sept →
nuke17–190.0021%5 Sept →
nuke6–13-0.0333%4 Sept →
cache9–13-0.0117%4 Sept →
inferno4–13-0.0219%4 Sept →
mirage6–130.0328%4 Sept →
inferno13–50.1134%4 Sept →
mirage13–110.0528%4 Sept →
ancient13–30.0344%4 Sept →
mirage10–13-0.0126%3 Sept →
inferno7–90.0433%3 Sept →
vertigo11–13-0.0225%2 Sept →
office12–120.0430%2 Sept →
cache6–130.0119%29 Aug →
nuke13–110.0018%29 Aug →
ancient2–00.19100%29 Aug →
nuke13–50.0339%29 Aug →
cache13–90.0227%29 Aug →
mirage7–130.0344%29 Aug →
cache10–13-0.0324%28 Aug →
nuke8–8-0.1019%28 Aug →
anubis1–13-0.0924%27 Aug →
ancient10–130.0929%27 Aug →
cache9–130.0425%27 Aug →
ancient13–100.0420%27 Aug →
nuke13–110.1633%23 Aug →
mirage13–70.1322%23 Aug →
mirage7–130.0426%22 Aug →
dust21–130.0212%22 Aug →
dust26–13-0.0129%22 Aug →
dust211–130.0623%22 Aug →
ancient13–110.0131%21 Aug →
ancient13–10.0612%21 Aug →
inferno9–20.1025%17 Aug →
cache5–130.0433%14 Aug →
mirage4–13-0.0616%13 Aug →
dust211–13-0.0220%9 Aug →
nuke0–13-0.0711%9 Aug →
ancient13–100.1229%9 Aug →
dust211–130.0322%8 Aug →
anubis13–7-0.0420%8 Aug →
cache7–130.0926%7 Aug →
nuke9–20.3022%7 Aug →
cache8–130.0424%7 Aug →
ancient13–80.1217%7 Aug →
mirage13–11-0.070%6 Aug →
dust213–4-0.0312%6 Aug →
inferno3–8-0.0340%6 Aug →
inferno7–90.0253%5 Aug →
cache13–4-0.0211%5 Aug →
ancient4–130.0442%5 Aug →
mirage13–90.0233%2 Aug →
inferno8–130.0828%2 Aug →
ancient13–110.0627%1 Aug →
anubis13–20.0422%1 Aug →
dust25–13-0.1114%1 Aug →
mirage6–130.0732%26 Jul →
dust211–130.0625%25 Jul →
mirage10–13-0.1027%22 Jul →
cache8–13-0.0124%22 Jul →
mirage13–70.0116%22 Jul →
dust213–110.0928%20 Jul →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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