mista boba

mista boba — CS2 Stats

DK76561197961961671[U:1:1695943]Steam profile ↗✓ No bans

1,567Tracked matches50%Win rate2020Tracked since
CSDB Rating5.6 SolidSupport
FaceitLevel 10 · 2,331 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (35 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,331 → 2,331
+79Tracked matches · now 1,567
0.0ppWin rate · 50.0% → 50.0%

Rating over time

Premier CS Rating: 20,595 -1,967 2 Dec – 23 Jun · 16 days played
20,59523,445peak 23,4452 Dec23 Jun
23,558Peak Premier in tracked matches
2,331Highest Faceit ELO seen on CSDB
48Days played since 2025-12-02

Faceit ELO

  • At peak — 2,331
  • Next: 2,500 ELO at 2,500 — 169 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-05
  • Level 9 first seen 2026-09-05

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.

Share this profile

CSDB.GGmista bobaFACEITLevel 10 · 2,331 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,331csdb.gg/stats

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Performance scores

Aim73
Positioning41
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY46–54Last 10046%Win rateLWLWLLLLWW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −5.8pp headshot accuracy · +5ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 517ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 509ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 507ms

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 (+3.8 against its own average).

Aim7.3
Utility7.3
Positioning4.1
Opening Duels0.0
Clutch2.8

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

Twistzz

Plays most like Twistzz 76% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Aim7.3
Positioning4.1
Utility7.3
Mechanics6.5
Opening Duels0.3
Win Impact5.0

Composite 5.6/10 (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+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time566ms−52ms
first ⅓ avg 618ms → last ⅓ avg 566ms
Headshot accuracy25.6%−2.3%
first ⅓ avg 28.0% → last ⅓ avg 25.6%

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

0.13Best match rating · 13–6 · vertigo, 28 Aug →
60%Best headshot accuracy · 3–7 · dust2, 3 Dec →
383msFastest reaction time · 4–13 · nuke, 25 Jul →
13–1Biggest win · inferno, 23 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 67% over 12ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C2911–1838%-0.02
nukeD124–833%-0.02
infernoS128–467%0.01
ancientD123–925%-0.03
overpassA127–558%-0.02
mirageA85–363%0.02
anubisD72–529%-0.01
cacheS64–267%0.02
vertigo—11–0100%0.13
train—11–0100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,844Matches
53%Win rate
1.08Avg K/D
75.8ADR
54%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust212755%1.0014.7
Inferno10157%1.1416.1
Overpass6562%1.0114.9
Nuke6157%1.0815.3
Mirage5355%1.0715.4
Ancient4337%0.9214.0
Train4038%0.8714.1
Anubis2442%0.9514.7

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.

26.1%Headshot accuracy
30.2%Accuracy (enemy spotted)
33.3%Spray accuracy
79.0%Counter-strafing
9.9°Preaim
548msReaction time
24.7%T opening success
32.2%CT opening success
0.60Enemies flashed / flash
6.9%Flash assists
8.99HE damage / grenade
17.06Flashes / 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 24.6772% — 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0231%9 Oct →
anubis13–60.0632%4 Oct →
nuke11–13-0.0212%3 Oct →
inferno19–160.0425%28 Sept →
anubis11–130.0225%28 Sept →
nuke14–16-0.0832%25 Sept →
cache9–13-0.0420%25 Sept →
dust24–13-0.0827%25 Sept →
anubis13–11-0.0325%9 Sept →
cache13–100.0417%7 Sept →
inferno16–14-0.0131%1 Sept →
anubis11–13-0.0430%31 Aug →
vertigo13–60.1319%28 Aug →
cache13–90.1136%13 Aug →
dust211–130.0125%13 Aug →
cache13–11-0.0436%31 Jul →
ancient13–11-0.0530%31 Jul →
nuke13–30.1037%31 Jul →
ancient9–130.0227%26 Jul →
nuke4–13-0.0832%25 Jul →
dust213–70.0017%24 Jul →
cache10–13-0.0014%24 Jul →
ancient6–13-0.0435%17 Jul →
dust213–70.0043%12 Jul →
nuke13–2-0.0623%12 Jul →
dust22–13-0.0113%12 Jul →
dust29–00.0727%12 Jul →
dust26–13-0.0617%12 Jul →
dust27–13-0.0613%5 Jul →
dust213–3-0.0120%5 Jul →
nuke13–4-0.0032%29 Jun →
overpass13–40.0126%29 Jun →
overpass9–13-0.0317%24 Jun →
inferno13–10.0733%23 Jun →
anubis8–13-0.0225%23 Jun →
dust213–6-0.0119%15 Jun →
anubis3–13-0.0431%7 Jun →
dust25–13-0.0628%6 Jun →
nuke9–13-0.0421%6 Jun →
anubis11–130.0133%3 May →
overpass5–1-0.0940%3 May →
cache13–10.0421%3 May →
inferno13–7-0.0036%20 Mar →
dust211–13-0.0619%23 Feb →
dust210–130.0126%7 Feb →
mirage6–13-0.0528%7 Feb →
dust22–13-0.029%6 Feb →
overpass13–11-0.0216%6 Feb →
inferno10–13-0.0312%6 Feb →
dust213–4-0.0528%6 Feb →
ancient9–13-0.0622%6 Feb →
mirage13–110.0719%6 Feb →
ancient3–13-0.0223%4 Feb →
dust27–13-0.0120%27 Jan →
inferno13–100.0631%27 Jan →
overpass13–7-0.0437%26 Jan →
inferno6–13-0.0326%26 Jan →
mirage13–10-0.0217%26 Jan →
mirage13–30.0729%26 Jan →
dust213–10-0.0119%23 Jan →
inferno12–16-0.0529%23 Jan →
inferno13–30.0831%23 Jan →
ancient13–11-0.0120%23 Jan →
dust213–3-0.0132%21 Jan →
dust213–80.0335%21 Jan →
overpass7–13-0.106%20 Jan →
overpass5–13-0.0623%20 Jan →
overpass5–13-0.0035%18 Jan →
nuke11–13-0.0619%13 Jan →
train13–7-0.0328%13 Jan →
inferno13–90.0640%13 Jan →
ancient5–13-0.0925%13 Jan →
dust213–16-0.0446%11 Jan →
dust28–13-0.0136%7 Jan →
overpass13–110.0223%7 Jan →
overpass13–11-0.0025%3 Jan →
overpass5–130.0219%3 Jan →
mirage13–20.0237%3 Jan →
inferno13–70.0238%3 Jan →
mirage13–16-0.0128%2 Jan →
mirage13–60.0923%2 Jan →
dust27–130.0221%2 Jan →
nuke8–13-0.0421%29 Dec →
dust26–13-0.038%26 Dec →
ancient13–8-0.0133%26 Dec →
nuke13–80.0646%26 Dec →
ancient1–13-0.019%8 Dec →
dust213–8-0.0222%8 Dec →
dust27–13-0.0523%8 Dec →
nuke6–13-0.0529%8 Dec →
inferno17–19-0.0428%7 Dec →
ancient4–13-0.0522%4 Dec →
dust213–20.0438%3 Dec →
mirage14–160.0117%3 Dec →
dust23–7-0.0660%3 Dec →
dust27–13-0.0629%3 Dec →
ancient2–10-0.0710%3 Dec →
overpass13–10-0.0020%3 Dec →
nuke6–13-0.0135%2 Dec →
ancient8–13-0.0232%2 Dec →

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 →

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