keos-iwnl-

keos-iwnl- — CS2 Stats

BR76561198196478685[U:1:236212957]Steam profile ↗✓ No bans

424Tracked matches36%Win rate2020Tracked since
5,610Hours in CS23Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating20,000Top 50% of 208,191 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#82175 of 255827 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (3 days ago). 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: 20,000 -307 8 Oct – 18 Oct · 3 days played
20,00020,307peak 20,3078 Oct18 Oct
20,724Peak Premier in tracked matches
42Days played since 2023-09-18

Premier CS Rating

  • 307 below peak (20,307)
  • Next: Red band at 25,000 — 5,000 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,061), 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 10 median
Headshot rate48.8%50.9%
Shot accuracy19.1%13.7%
Kill/death ratio0.931.09
Match win rate52.0%48.4%

Share this profile

CSDB.GGkeos-iwnl-FACEITLevel 10STANDINGTop 12.4% of rankedPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim83
Positioning62
Utility48

0–100 skill scores via Leetify.

Recent form

COLD47–44–9Last 10047%Win rateLLWTLWLLWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +2.5pp headshot accuracy · +13ms reaction

Win rate −10pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 591ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 33%
  • Avg reaction 606ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 32%
  • Avg reaction 600ms

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 (+2.4 against its own average).

Aim8.3
Utility4.8
Positioning6.2
Opening Duels4.4
Clutch0.0

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

m0NESY

Plays most like m0NESY 95% playstyle similarity

Most alike: positioning profile, aim profile.

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

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

Preaim. Mechanical aim is strong but the crosshair sits 10.5° 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. 627ms 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

Aim8.3
Positioning6.2
Utility4.8
Mechanics8.1
Opening Duels5.6
Win Impact0.2

Composite 6.4/10 (Solid), 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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time621ms+2ms
first ⅓ avg 619ms → last ⅓ avg 621ms
Headshot accuracy31.1%+4.8%
first ⅓ avg 26.3% → last ⅓ avg 31.1%

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 · 10–13 · mirage, 16 Sept →
63%Best headshot accuracy · 13–4 · nuke, 9 Oct →
453msFastest reaction time · 4–8 · nuke, 13 Oct →
13–1Biggest win · mirage, 17 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
5–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 63% over 8ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2813–1546%0.05
dust2C187–1139%0.02
nukeB179–853%0.02
infernoA106–460%0.01
cacheA85–363%0.06
ancientD62–433%0.01
vertigoC52–340%0.03
overpass—42–250%0.02
anubis—20–20%-0.03
office—10–10%0.02
train—11–0100%0.11

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

194,341Lifetime kills
0.93K/D
7,661Matches
52.0%Match win rate · Top 25% of Level 10 players
48.8%Headshot %
19.1%Shot accuracy · Top 10% of Level 10 players
22,172MVPs
4,765Hours (in match)
8,116Bombs planted
3,116Bombs defused

Most-used weapons

AK-4761,275
AWP27,358
SG 5536,658
P2506,300
AUG3,560
Knife3,148

Lifetime map wins

14,767inferno
14,422dust2
4,515train
4,375vertigo
3,581nuke
2,347cbble
66lake
63shorttrain

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

Faceit stats

Combat

2,395Matches
59%Win rate
1.16Avg K/D
60.8ADR
50%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Overpass667%0.9710.2
Nuke633%0.6410.2
Vertigo580%1.0613.8
Inferno475%0.7110.5
Mirage367%1.0410.7
Ancient1100%0.8214.0
Train1100%0.6716.0

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.

30.8%Headshot accuracy
33.0%Accuracy (enemy spotted)
40.2%Spray accuracy
86.4%Counter-strafing
10.5°Preaim
627msReaction time
56.4%T opening success
48.3%CT opening success
0.43Enemies flashed / flash
9.5%Flash assists
10.85HE damage / grenade
8.45Flashes / 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 0.4326 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0332%18 Oct →
ancient8–13-0.0531%18 Oct →
cache13–10-0.0521%18 Oct →
mirage15–15-0.0221%18 Oct →
nuke3–130.0531%17 Oct →
mirage13–20.1523%17 Oct →
mirage2–130.0848%17 Oct →
nuke9–130.1138%17 Oct →
mirage13–100.1346%16 Oct →
mirage6–130.0039%15 Oct →
mirage13–40.1821%15 Oct →
nuke4–8-0.0120%13 Oct →
dust213–160.0122%12 Oct →
dust214–16-0.0120%12 Oct →
inferno6–13-0.0444%12 Oct →
vertigo12–120.0433%10 Oct →
office5–130.0233%10 Oct →
nuke4–13-0.1038%10 Oct →
ancient13–60.0848%10 Oct →
train13–80.1128%10 Oct →
nuke13–40.1963%9 Oct →
mirage9–13-0.0128%9 Oct →
cache13–50.0537%9 Oct →
vertigo6–13-0.0116%9 Oct →
mirage4–130.0427%8 Oct →
inferno9–13-0.0227%8 Oct →
ancient8–13-0.0936%8 Oct →
cache13–40.0622%8 Oct →
mirage1–13-0.0533%7 Oct →
dust28–13-0.0213%5 Oct →
mirage16–140.0333%5 Oct →
mirage7–130.0632%2 Oct →
dust212–120.0121%2 Oct →
mirage12–120.0631%2 Oct →
dust213–100.0226%28 Sept →
dust20–3-0.060%28 Sept →
inferno2–13-0.110%28 Sept →
mirage13–70.0224%27 Sept →
dust213–30.1335%27 Sept →
mirage13–40.0320%24 Sept →
vertigo12–120.1827%23 Sept →
mirage13–100.0939%23 Sept →
cache13–50.1360%22 Sept →
mirage13–20.1650%22 Sept →
nuke8–13-0.0526%22 Sept →
dust213–30.0529%22 Sept →
nuke10–130.1239%22 Sept →
ancient13–110.0745%21 Sept →
dust213–110.0636%21 Sept →
cache11–130.1125%20 Sept →
mirage5–130.0427%20 Sept →
nuke13–50.0137%20 Sept →
nuke13–50.0737%20 Sept →
mirage8–13-0.0226%19 Sept →
anubis11–130.0049%19 Sept →
cache13–50.0524%19 Sept →
dust29–13-0.0331%19 Sept →
nuke13–40.0428%19 Sept →
nuke13–20.0239%19 Sept →
nuke13–90.0732%17 Sept →
mirage13–10.0530%17 Sept →
ancient8–130.0331%17 Sept →
mirage10–130.2323%16 Sept →
mirage6–130.0730%16 Sept →
nuke13–50.0629%15 Sept →
mirage5–13-0.0442%10 Sept →
inferno12–120.0434%10 Sept →
inferno13–80.0333%10 Sept →
dust26–130.0315%10 Sept →
dust29–130.0819%6 Sept →
inferno13–90.1636%6 Sept →
inferno13–90.0036%6 Sept →
dust213–9-0.0824%3 Sept →
ancient12–120.0316%1 Sept →
dust213–11-0.0224%29 Aug →
cache12–120.0346%27 Aug →
dust29–13-0.0041%26 Aug →
cache12–120.0843%26 Aug →
dust213–40.0828%23 Aug →
dust210–130.1142%18 Aug →
mirage13–70.0641%18 Aug →
mirage4–9-0.0330%15 Aug →
overpass13–40.1338%17 Sept →
anubis8–13-0.0518%27 Jun →
inferno13–9-0.0228%18 Feb →
inferno13–70.1129%18 Feb →
nuke13–11-0.0236%17 Feb →
nuke10–13-0.0624%17 Feb →
overpass13–10-0.0221%17 Feb →
vertigo13–6-0.0131%17 Feb →
mirage13–70.0523%9 Feb →
mirage13–50.0627%9 Feb →
dust26–130.0224%9 Feb →
mirage9–10.0221%9 Feb →
overpass7–13-0.0215%22 Sept →
nuke9–13-0.0713%22 Sept →
overpass11–13-0.0312%20 Sept →
inferno13–6-0.094%19 Sept →
mirage4–13-0.0317%19 Sept →
vertigo13–10-0.0416%18 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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