MS7Kaito

MS7Kaito — CS2 Stats

76561198789415188[U:1:829149460]Steam profile ↗✓ No bans

1,021Tracked matches57%Win rate2025Tracked since
CSDB Rating2.8 LearningSupport
Premier CS Rating4,485Grey band · top ~81% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (22 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: 4,485 +890 15 Sept – 14 Oct · 9 days played
3,4755,121peak 5,12115 Sept14 Oct
5,480Peak Premier in tracked matches
22Days played since 2026-09-15

Premier CS Rating

  • 636 below peak (5,121)
  • +890 over 30 days · improving
  • Next: Light Blue band at 5,000 — 515 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGMS7KaitoFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER4,485 · Grey bandcsdb.gg/stats

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Performance scores

Aim21
Positioning37
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY53–43–4Last 10053%Win rateWLWLWWLWLL

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +5.7pp headshot accuracy · +50ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 22%
  • Avg reaction 725ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 689ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 664ms

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 (+1.9 against its own average).

Aim2.1
Utility4.7
Positioning3.7
Opening Duels0.2
Clutch2.6

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

iM

Plays most like iM 62% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 665ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.1
Positioning3.7
Utility4.7
Mechanics1.7
Opening Duels1.0
Win Impact7.2

Composite 2.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time692ms+36ms
first ⅓ avg 656ms → last ⅓ avg 692ms
Headshot accuracy14.0%−2.6%
first ⅓ avg 16.6% → last ⅓ avg 14.0%

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

0.10Best match rating · 13–10 · nuke, 15 Sept →
31%Best headshot accuracy · 13–7 · cache, 19 Sept →
422msFastest reaction time · 5–1 · inferno, 13 Oct →
13–2Biggest win · dust2, 15 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
10–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 88% over 8dust2Weakest map · 39% over 36
MapGradePlayedRecordWin rateAvg rating
dust2C3614–2239%-0.04
mirageA169–756%-0.02
infernoB136–746%-0.02
ancientA116–555%-0.04
cacheS87–188%-0.05
anubisA85–363%-0.04
nukeA53–260%-0.03
train—11–0100%-0.09
office—11–0100%0.06
vertigo—11–0100%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 36). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

19Matches
42%Win rate
0.57Avg K/D
50.5ADR
42%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust2617%0.7712.5
Ancient540%0.488.4
Inferno367%0.6210.7
Mirage250%0.425.5
Anubis1100%0.478.0
Cache10%0.356.0
Nuke1100%0.265.0

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.

13.7%Headshot accuracy
28.1%Accuracy (enemy spotted)
27.7%Spray accuracy
57.8%Counter-strafing
10.8°Preaim
665msReaction time
32.9%T opening success
34.7%CT opening success
0.68Enemies flashed / flash
5.3%Flash assists
9.81HE damage / grenade
5.49Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.7373% — below the 15% mark we flag

    Aim Training →
  2. 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 32.9152% — below the 40% mark we flag

Spend your practice time on Dust 2

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

39% win rate across 36 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0319%3 Nov →
inferno1–13-0.1625%3 Nov →
dust213–9-0.0317%3 Nov →
dust23–13-0.1230%3 Nov →
inferno13–6-0.0118%15 Oct →
anubis13–11-0.0117%14 Oct →
dust26–130.034%14 Oct →
ancient13–9-0.0415%14 Oct →
ancient11–13-0.019%14 Oct →
dust21–13-0.109%14 Oct →
ancient6–13-0.045%14 Oct →
dust29–13-0.0411%14 Oct →
dust27–13-0.0519%14 Oct →
inferno3–6-0.096%14 Oct →
dust213–90.025%14 Oct →
dust213–60.0321%13 Oct →
cache13–110.0010%13 Oct →
dust213–9-0.0720%13 Oct →
inferno5–10.080%13 Oct →
mirage13–8-0.0510%13 Oct →
mirage13–70.034%13 Oct →
inferno13–9-0.0412%13 Oct →
dust213–7-0.0214%13 Oct →
dust213–10-0.0120%13 Oct →
inferno3–130.0125%12 Oct →
dust213–11-0.006%12 Oct →
ancient7–13-0.0512%12 Oct →
mirage8–13-0.0316%10 Oct →
train13–7-0.0914%10 Oct →
nuke2–90.0210%10 Oct →
dust213–4-0.0213%10 Oct →
dust22–13-0.0726%8 Oct →
dust22–13-0.0820%8 Oct →
inferno13–40.0327%8 Oct →
mirage13–7-0.0911%7 Oct →
mirage16–14-0.0318%6 Oct →
dust27–130.0710%6 Oct →
mirage11–130.0314%6 Oct →
cache13–80.078%6 Oct →
mirage13–11-0.0113%6 Oct →
anubis10–6-0.0511%6 Oct →
mirage12–120.0712%5 Oct →
inferno4–13-0.0213%5 Oct →
dust213–11-0.0915%5 Oct →
inferno9–13-0.039%5 Oct →
nuke13–7-0.055%5 Oct →
cache1–13-0.120%2 Oct →
dust210–13-0.0313%2 Oct →
mirage5–13-0.049%2 Oct →
inferno10–13-0.0217%2 Oct →
inferno13–5-0.0115%29 Sept →
dust24–13-0.0820%29 Sept →
mirage11–13-0.0711%28 Sept →
ancient11–13-0.0813%28 Sept →
dust26–13-0.075%28 Sept →
mirage13–6-0.0216%28 Sept →
mirage13–9-0.0020%24 Sept →
anubis12–12-0.0611%24 Sept →
dust29–13-0.0516%24 Sept →
office13–50.0613%24 Sept →
anubis13–7-0.027%22 Sept →
dust28–13-0.0713%22 Sept →
dust24–13-0.0915%22 Sept →
cache13–8-0.0714%22 Sept →
nuke8–13-0.0914%22 Sept →
dust212–12-0.0615%22 Sept →
mirage9–130.0021%21 Sept →
dust213–11-0.0517%21 Sept →
cache13–5-0.1024%20 Sept →
mirage10–13-0.1220%20 Sept →
vertigo13–60.0121%20 Sept →
dust212–12-0.0528%20 Sept →
anubis13–8-0.0511%20 Sept →
ancient13–11-0.0612%20 Sept →
dust24–13-0.0615%19 Sept →
dust213–8-0.0923%19 Sept →
anubis13–6-0.0218%19 Sept →
cache13–7-0.0531%19 Sept →
nuke13–11-0.1017%19 Sept →
ancient13–4-0.0123%18 Sept →
anubis6–13-0.1114%18 Sept →
cache13–6-0.0610%18 Sept →
dust213–80.0718%18 Sept →
inferno13–80.0021%18 Sept →
ancient13–11-0.066%17 Sept →
dust23–13-0.0817%17 Sept →
dust214–16-0.0418%16 Sept →
mirage13–5-0.029%16 Sept →
dust25–13-0.0712%16 Sept →
anubis5–130.0113%16 Sept →
ancient13–10-0.0315%16 Sept →
ancient9–13-0.0813%16 Sept →
inferno8–13-0.0613%16 Sept →
nuke13–100.1022%15 Sept →
dust211–130.0218%15 Sept →
dust213–20.0121%15 Sept →
dust26–13-0.038%15 Sept →
mirage13–4-0.039%15 Sept →
ancient13–70.0219%15 Sept →
dust213–4-0.0113%15 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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