Kaapoi

Kaapoi — CS2 Stats

FI76561199195028240[U:1:1234762512]Steam profile ↗✓ No bans

3,461Tracked matches47%Win rate2022Tracked since
CSDB Rating5.5 SolidSupport
FaceitLevel 10 · 2,298 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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CSDB.GGKaapoiFACEITLevel 10 · 2,298 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim73
Positioning51
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY52–38–10Last 10052%Win rateWWLWWWLWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +2.7pp headshot accuracy · +22ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 528ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 555ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 544ms

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 (+2.4 against its own average).

Aim7.3
Utility6.2
Positioning5.1
Opening Duels0.5
Clutch3.6

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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 →

CSDB Rating breakdown

Aim7.3
Positioning5.1
Utility6.2
Mechanics6.0
Opening Duels0.5
Win Impact3.9

Composite 5.5/10 (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-0.00−0.04
first ⅓ avg 0.04 → last ⅓ avg -0.00
Reaction time539ms−59ms
first ⅓ avg 598ms → last ⅓ avg 539ms
Headshot accuracy19.3%−2.8%
first ⅓ avg 22.1% → last ⅓ avg 19.3%

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

0.32Best match rating · 9–3 · nuke, 9 Jan →
42%Best headshot accuracy · 8–8 · nuke, 5 Jan →
398msFastest reaction time · 9–7 · vertigo, 8 Jan →
13–1Biggest win · train, 20 Dec →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
12–12In matches decided by ≤2 rounds
6Overtime games

Map breakdown

trainBest map · 100% over 5ancientWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
vertigoB2312–1152%0.08
nukeA2113–862%0.09
ancientD143–1121%-0.01
mirageA95–456%-0.01
rooftopS96–367%0.07
infernoC52–340%0.01
trainS55–0100%0.01
dust2—42–250%0.02
cache—32–167%0.01
anubis—21–150%0.04
overpass—20–20%-0.03
poseidon—21–150%0.01
sanctum—10–10%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,088Matches
50%Win rate
0.96Avg K/D
72.2ADR
48%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient45753%0.9413.7
Anubis39652%0.9913.7
Mirage36244%0.9213.3
Nuke29755%1.0314.0
Vertigo17450%1.0514.1
Inferno9443%0.9013.1
Train7761%1.1213.7
Dust25836%0.8112.2

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.

19.3%Headshot accuracy
34.4%Accuracy (enemy spotted)
36.7%Spray accuracy
77.2%Counter-strafing
9.8°Preaim
540msReaction time
29.8%T opening success
34.3%CT opening success
0.55Enemies flashed / flash
12.1%Flash assists
12.02HE damage / grenade
11.09Flashes / 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 29.7507% — below the 40% mark we flag

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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0022%23 Sept →
cache13–40.0915%29 Aug →
ancient3–13-0.0231%22 Aug →
nuke13–70.0838%19 Aug →
ancient13–11-0.0118%16 Aug →
mirage13–80.0424%16 Aug →
inferno8–13-0.0317%6 Aug →
cache13–9-0.0123%6 Aug →
inferno9–13-0.0520%4 Aug →
nuke11–13-0.0312%22 Jul →
ancient14–160.0114%21 Jul →
mirage8–13-0.0118%21 Jul →
mirage13–6-0.0117%14 Jul →
cache5–13-0.0419%7 Jul →
mirage13–10-0.0613%21 Jun →
mirage13–10-0.0121%13 Jun →
nuke16–13-0.0422%13 Jun →
dust27–130.0426%13 Jun →
ancient10–13-0.0221%15 May →
anubis13–40.0622%13 May →
nuke8–130.0125%18 Apr →
dust210–13-0.0821%16 Apr →
nuke19–170.0122%16 Apr →
ancient11–13-0.0111%16 Apr →
dust213–70.1811%13 Apr →
mirage4–13-0.067%9 Apr →
ancient9–13-0.0421%9 Apr →
vertigo13–60.0216%8 Apr →
nuke8–130.0620%2 Apr →
ancient7–13-0.0514%2 Apr →
overpass6–13-0.088%26 Mar →
anubis9–130.0234%26 Mar →
ancient16–19-0.0316%7 Mar →
inferno4–9-0.098%19 Feb →
nuke8–80.1725%19 Feb →
poseidon8–8-0.0823%19 Feb →
vertigo7–9-0.0415%19 Feb →
ancient7–13-0.0428%5 Feb →
ancient14–16-0.0313%3 Feb →
nuke13–11-0.0419%27 Jan →
nuke9–50.0735%24 Jan →
vertigo9–70.1019%24 Jan →
vertigo7–90.0525%24 Jan →
sanctum8–80.0326%24 Jan →
poseidon9–60.1024%24 Jan →
vertigo9–20.2530%24 Jan →
vertigo6–90.0513%13 Jan →
vertigo8–80.1519%13 Jan →
ancient8–130.0218%10 Jan →
vertigo8–80.0720%9 Jan →
rooftop9–50.1417%9 Jan →
vertigo9–60.1429%9 Jan →
nuke8–80.1319%9 Jan →
nuke9–20.2717%9 Jan →
nuke9–30.3220%9 Jan →
rooftop7–9-0.0418%9 Jan →
rooftop9–50.0621%9 Jan →
vertigo9–20.2926%9 Jan →
nuke9–10.2820%9 Jan →
nuke8–80.0910%9 Jan →
rooftop9–70.1017%9 Jan →
vertigo6–9-0.0929%9 Jan →
inferno9–70.1317%9 Jan →
vertigo4–90.0316%9 Jan →
nuke9–20.2611%9 Jan →
nuke9–50.1818%9 Jan →
rooftop9–30.2030%9 Jan →
vertigo9–20.0611%9 Jan →
mirage13–40.0416%8 Jan →
rooftop7–9-0.0221%8 Jan →
vertigo9–7-0.0710%8 Jan →
nuke8–80.0518%8 Jan →
vertigo4–9-0.0710%8 Jan →
vertigo9–70.1537%5 Jan →
nuke8–8-0.0142%5 Jan →
vertigo9–40.0916%5 Jan →
rooftop7–90.0423%5 Jan →
rooftop9–30.1419%5 Jan →
vertigo9–30.2226%5 Jan →
inferno9–70.0922%5 Jan →
overpass6–90.0217%5 Jan →
nuke9–60.0529%5 Jan →
vertigo9–40.1638%5 Jan →
vertigo8–80.1329%5 Jan →
rooftop9–40.0129%5 Jan →
vertigo3–9-0.0322%5 Jan →
vertigo9–70.1114%5 Jan →
vertigo1–130.0333%4 Jan →
mirage11–13-0.0418%21 Dec →
train16–14-0.0031%21 Dec →
train13–10.0125%20 Dec →
mirage11–13-0.0021%20 Dec →
train13–11-0.0020%28 Nov →
ancient13–20.0517%28 Nov →
dust213–6-0.0514%25 Nov →
train13–100.0121%21 Nov →
nuke13–9-0.0220%18 Nov →
train13–60.0523%1 Nov →
ancient13–100.0117%25 Oct →
ancient11–13-0.0123%16 Oct →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →