Kaito

Kaito — CS2 Stats

NO76561198984376510[U:1:1024110782]Steam profile ↗✓ No bans

3,988Tracked matches43%Win rate2020Tracked since
6,217Hours in CS16Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
FaceitLevel 10 · 2,216 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (60 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,216 → 2,216
+116Tracked matches · now 3,988
−10.0ppWin rate · 53.3% → 43.3%

Rating over time

Faceit ELO: 2,216 +0 1 Sept – 6 Sept · 2 observations
2,2162,216peak 2,2161 Sept6 Sept
2,216Highest Faceit ELO seen on CSDB
70Days played since 2025-06-03

Faceit ELO

  • At peak — 2,216
  • Next: 2,500 ELO at 2,500 — 284 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 rate47.5%50.9%
Shot accuracy7.1%13.7%
Kill/death ratio1.011.09
Match win rate52.0%48.4%

Share this profile

CSDB.GGKaitoFACEITLevel 10 · 2,216 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,216csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim84
Positioning56
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY53–44–3Last 10053%Win rateLWLWLWLWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −4.6pp headshot accuracy · +1ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 475ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 487ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 486ms

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 (+0.9 against its own average).

Aim8.4
Utility4.8
Positioning5.6
Opening Duels4.6
Clutch3.8

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 93% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

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

Aim8.4
Positioning5.6
Utility4.8
Mechanics5.2
Opening Duels4.0
Win Impact2.8

Composite 5.8/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time492ms−90ms
first ⅓ avg 582ms → last ⅓ avg 492ms
Headshot accuracy24.6%+3.4%
first ⅓ avg 21.3% → last ⅓ avg 24.6%

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

0.16Best match rating · 13–3 · mirage, 22 Jul →
41%Best headshot accuracy · 4–13 · ancient, 18 Aug →
383msFastest reaction time · 4–13 · dust2, 1 Nov →
13–0Biggest win · nuke, 6 Feb →

Across the last 100 tracked matches.

Highlights

4Longest win streak
11–12In matches decided by ≤2 rounds
16Overtime games

Map breakdown

mirageBest map · 67% over 12infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientB2713–1448%0.00
nukeS1711–665%0.00
anubisA1610–663%0.03
mirageS128–467%-0.01
dust2C83–538%-0.00
infernoD61–517%-0.02
overpassB63–350%-0.01
vertigo—43–175%0.02
cache—31–233%-0.01
train—10–10%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

103,904Lifetime kills
1.01K/D
4,429Matches
52.0%Match win rate · Top 25% of Level 10 players
47.5%Headshot %
7.1%Shot accuracy
14,730MVPs
2,350Hours (in match)
5,304Bombs planted
2,407Bombs defused

Most-used weapons

AK-4740,382
AWP15,152
MP93,147
Knife2,568
MAC-102,082

Lifetime map wins

6,308nuke
5,610inferno
5,571vertigo
3,412dust2
1,885train
397cbble
60lake
29office

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

Faceit stats

Combat

2,987Matches
53%Win rate
1.04Avg K/D
78.6ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient67657%1.0516.1
Anubis54955%1.0415.9
Mirage31945%1.0015.7
Nuke27852%0.9915.4
Vertigo19957%1.0915.9
Dust217853%0.9414.5
Inferno11540%0.8814.0
Train8551%0.9914.8

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.

23.7%Headshot accuracy
37.0%Accuracy (enemy spotted)
38.3%Spray accuracy
73.4%Counter-strafing
8.9°Preaim
502msReaction time
45.0%T opening success
46.6%CT opening success
0.41Enemies flashed / flash
4.1%Flash assists
8.82HE damage / grenade
6.93Flashes / 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 0.4138 — below the 0.5 mark we flag

    Grenade Lineups →
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0614%1 Nov →
anubis13–20.1424%22 Oct →
ancient5–13-0.0732%20 Oct →
nuke13–110.0925%19 Oct →
cache2–13-0.0433%19 Oct →
ancient13–90.0119%27 Sept →
ancient13–16-0.0215%16 Sept →
mirage13–2-0.0319%14 Sept →
mirage9–13-0.0321%9 Sept →
inferno10–13-0.0123%4 Sept →
ancient7–13-0.0312%4 Sept →
cache13–110.0624%19 Aug →
nuke6–130.0328%19 Aug →
ancient4–130.0241%18 Aug →
cache8–13-0.0620%18 Aug →
nuke10–13-0.0332%13 Aug →
nuke13–6-0.0338%13 Aug →
vertigo16–13-0.0225%12 Aug →
vertigo13–70.0428%12 Aug →
ancient13–70.0023%11 Aug →
inferno11–13-0.0320%9 Aug →
ancient5–130.0128%29 Jun →
anubis13–60.1230%29 Jun →
overpass7–13-0.0417%27 Jun →
dust214–16-0.0122%18 Jun →
anubis5–13-0.0410%8 Jun →
anubis16–14-0.0224%2 Jun →
ancient19–170.0418%2 Jun →
ancient17–19-0.0025%30 May →
anubis13–3-0.0232%26 May →
ancient13–60.0136%19 May →
nuke7–130.0419%29 Apr →
ancient16–12-0.0136%23 Apr →
ancient13–80.0623%21 Apr →
overpass13–90.0827%18 Apr →
anubis11–130.0025%11 Apr →
anubis13–10.0921%10 Apr →
ancient9–13-0.0223%5 Apr →
mirage13–11-0.0225%3 Apr →
ancient13–80.0117%3 Apr →
anubis13–40.1440%3 Apr →
ancient10–13-0.0328%29 Mar →
anubis13–60.1025%28 Mar →
anubis16–14-0.0421%22 Mar →
mirage7–130.0117%22 Mar →
ancient13–2-0.0319%12 Mar →
mirage13–6-0.0124%11 Mar →
ancient13–5-0.0214%23 Feb →
dust215–150.0722%20 Feb →
nuke13–60.0623%19 Feb →
overpass6–130.0017%8 Feb →
ancient9–130.0522%8 Feb →
ancient13–70.0217%8 Feb →
nuke11–130.0026%7 Feb →
inferno5–90.0136%6 Feb →
nuke13–60.0433%6 Feb →
dust26–130.0239%6 Feb →
anubis8–130.0418%6 Feb →
nuke13–00.0924%6 Feb →
ancient13–90.0422%5 Feb →
ancient11–13-0.0427%4 Feb →
nuke13–7-0.0224%21 Dec →
nuke13–7-0.0511%16 Dec →
nuke7–13-0.0328%16 Dec →
vertigo13–90.0623%13 Nov →
overpass13–5-0.0513%8 Nov →
dust213–90.0227%8 Nov →
overpass13–16-0.0526%31 Oct →
nuke13–50.0325%31 Oct →
mirage3–13-0.0722%7 Sept →
nuke9–7-0.1422%4 Aug →
nuke6–9-0.0725%4 Aug →
inferno8–80.0421%4 Aug →
inferno9–4-0.0916%4 Aug →
ancient11–13-0.0319%31 Jul →
train14–160.0531%30 Jul →
mirage13–30.1627%22 Jul →
overpass13–100.0130%16 Jul →
ancient9–13-0.0426%14 Jul →
anubis13–40.0418%12 Jul →
ancient13–100.1118%8 Jul →
mirage19–15-0.0212%7 Jul →
ancient13–10-0.0114%7 Jul →
mirage6–13-0.0117%6 Jul →
anubis16–140.0227%3 Jul →
anubis11–13-0.0017%1 Jul →
ancient13–16-0.0419%30 Jun →
mirage13–100.0022%23 Jun →
dust214–16-0.0422%23 Jun →
nuke13–11-0.0124%22 Jun →
ancient10–130.0124%22 Jun →
anubis17–19-0.0415%20 Jun →
dust213–50.0431%16 Jun →
vertigo7–130.0114%16 Jun →
anubis12–120.0320%16 Jun →
nuke13–70.0524%16 Jun →
mirage13–11-0.0312%16 Jun →
dust213–11-0.0727%7 Jun →
mirage13–9-0.0319%4 Jun →
inferno11–13-0.0118%3 Jun →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.