Kim Possible

Kim Possible — CS2 Stats

FI76561198890572160[U:1:930306432]Steam profile ↗✓ No bans

1,277Tracked matches40%Win rate2020Tracked since
CSDB Rating5.6 SolidSupport
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (43 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,277 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,495 -189 22 Apr – 5 Jul · 20 days played
21,68524,863peak 24,86322 Apr5 Jul
24,863Peak Premier in tracked matches
1,894Highest Faceit ELO seen on CSDB
52Days played since 2026-04-22

Faceit ELO

  • At peak — 1,894
  • Next: Level 10 at 2,001 — 107 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-01
  • Level 8 first seen 2026-09-01

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.

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CSDB.GGKim PossiblePEAK ELO1,894csdb.gg/stats

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Performance scores

Aim71
Positioning55
Utility67

0–100 skill scores via Leetify.

Recent form

COLD47–47–6Last 10047%Win rateWLLLLLLTTW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −0.5pp headshot accuracy · −123ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 488ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 507ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 568ms

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 (+1.7 against its own average).

Aim7.1
Utility6.7
Positioning5.5
Opening Duels4.5
Clutch3.2

Effective flashes

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

device

Plays most like device 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

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

Aim7.1
Positioning5.5
Utility6.7
Mechanics7.1
Opening Duels3.9
Win Impact1.7

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time570ms−16ms
first ⅓ avg 586ms → last ⅓ avg 570ms
Headshot accuracy18.5%−1.4%
first ⅓ avg 19.9% → last ⅓ avg 18.5%

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

0.12Best match rating · 13–5 · anubis, 12 Jun →
46%Best headshot accuracy · 13–5 · mirage, 25 Jun →
438msFastest reaction time · 13–10 · anubis, 21 Aug →
13–0Biggest win · dust2, 23 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 70% over 20infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC249–1538%-0.02
cacheS2014–670%-0.01
infernoD124–833%-0.00
anubisA106–460%0.02
dust2B105–550%-0.01
ancientB84–450%0.01
nukeC83–538%-0.01
overpass—31–233%-0.01
vertigo—20–20%0.01
train—10–10%-0.02
office—10–10%-0.02
warden—11–0100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

353Matches
58%Win rate
1.19Avg K/D
82.5ADR
38%Headshot %

Clutches & streaks

36%1v1 clutch win
27%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3435%0.9416.2
Dust21669%0.9914.8
Nuke1346%1.0916.9
Anubis1173%1.1215.4
Inferno1145%1.0513.8
Overpass1060%1.1116.0
Ancient862%0.9415.8
Cache6100%1.2920.8

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.

18.5%Headshot accuracy
33.8%Accuracy (enemy spotted)
37.4%Spray accuracy
81.7%Counter-strafing
10.4°Preaim
569msReaction time
38.3%T opening success
52.6%CT opening success
0.74Enemies flashed / flash
4.4%Flash assists
8.74HE damage / grenade
14.07Flashes / 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 38.2527% — below the 40% mark we flag

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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–100.0320%21 Aug →
ancient8–13-0.0413%21 Aug →
mirage8–13-0.039%21 Aug →
dust20–13-0.046%12 Aug →
nuke11–13-0.0221%12 Aug →
inferno5–13-0.0119%10 Aug →
cache8–13-0.0622%9 Aug →
mirage12–12-0.0022%8 Aug →
mirage15–15-0.0511%4 Aug →
cache13–90.0028%2 Aug →
anubis7–130.027%31 Jul →
dust213–50.0613%28 Jul →
inferno5–13-0.0333%28 Jul →
train8–13-0.0216%25 Jul →
ancient7–13-0.0719%25 Jul →
cache13–8-0.0024%23 Jul →
mirage13–4-0.0227%23 Jul →
cache7–13-0.024%19 Jul →
nuke7–13-0.0514%19 Jul →
mirage11–13-0.0818%17 Jul →
mirage13–110.0123%12 Jul →
mirage9–130.0025%12 Jul →
cache13–60.0310%12 Jul →
mirage12–12-0.0324%8 Jul →
office5–13-0.0211%8 Jul →
mirage12–12-0.0524%7 Jul →
inferno13–50.0424%7 Jul →
mirage13–90.0420%5 Jul →
dust213–110.059%5 Jul →
mirage15–150.0130%2 Jul →
cache13–5-0.0219%2 Jul →
mirage11–13-0.0231%2 Jul →
inferno13–11-0.0216%29 Jun →
ancient11–13-0.0019%28 Jun →
nuke6–130.0122%28 Jun →
inferno5–13-0.080%26 Jun →
mirage13–11-0.0233%26 Jun →
cache13–100.0115%26 Jun →
inferno6–13-0.0414%25 Jun →
mirage13–50.0246%25 Jun →
anubis13–20.0327%25 Jun →
cache13–90.0225%25 Jun →
anubis13–110.0518%23 Jun →
ancient13–90.0325%23 Jun →
mirage10–13-0.0520%23 Jun →
dust213–00.0213%23 Jun →
anubis3–130.0138%22 Jun →
anubis13–50.0711%21 Jun →
inferno13–100.1120%17 Jun →
dust27–13-0.0520%17 Jun →
nuke10–13-0.0515%13 Jun →
anubis13–50.1220%12 Jun →
cache13–10-0.0413%12 Jun →
ancient16–140.0418%9 Jun →
mirage13–6-0.0313%9 Jun →
dust213–90.0416%7 Jun →
anubis11–13-0.0715%27 May →
mirage2–13-0.0733%26 May →
mirage7–13-0.0638%25 May →
cache13–4-0.0126%21 May →
warden13–100.0015%21 May →
overpass13–60.0121%21 May →
dust27–13-0.0418%21 May →
dust29–13-0.0419%20 May →
nuke13–50.018%20 May →
cache12–12-0.0819%20 May →
mirage13–9-0.0418%20 May →
dust27–13-0.0413%19 May →
nuke2–10-0.0340%17 May →
overpass6–13-0.0110%17 May →
cache13–60.0218%17 May →
nuke13–110.0415%15 May →
cache13–8-0.0128%14 May →
cache13–50.0440%14 May →
mirage9–13-0.0119%13 May →
inferno10–130.0127%13 May →
ancient7–130.0335%12 May →
mirage6–13-0.0140%12 May →
anubis13–3-0.0030%11 May →
mirage13–10-0.0216%11 May →
ancient13–2-0.0116%10 May →
vertigo11–13-0.0128%9 May →
mirage1–13-0.0313%9 May →
vertigo6–130.0314%8 May →
cache13–30.046%8 May →
inferno16–140.0318%8 May →
anubis14–16-0.079%2 May →
ancient13–70.0713%2 May →
cache4–13-0.0218%2 May →
cache13–110.009%1 May →
cache13–30.0912%1 May →
inferno4–13-0.0518%1 May →
cache6–13-0.1017%29 Apr →
cache5–13-0.0511%29 Apr →
overpass1–9-0.0244%27 Apr →
nuke16–130.0512%24 Apr →
mirage13–20.0813%24 Apr →
inferno5–13-0.0414%24 Apr →
dust213–10-0.0120%23 Apr →
inferno6–130.0324%22 Apr →

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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