Senpai Vonta

Senpai Vonta — CS2 Stats

AT76561199829355431[U:1:1869089703]Steam profile ↗✓ No bans

429Tracked matches67%Win rate2025Tracked since
778Hours in CS0Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating9,032Light Blue band · top ~59.5% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (31 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: 9,032 -13,417 20 Apr – 14 Oct · 34 days played
5,58628,116peak 28,11620 Apr14 Oct
28,116Peak Premier in tracked matches
42Days played since 2026-04-20

Premier CS Rating

  • 19,084 below peak (28,116)
  • -18,982 over 30 days · declining
  • Next: Blue band at 10,000 — 968 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-08
  • Pink band first seen 2026-09-08

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

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate61.0%43.8%44.8%above
Shot accuracy0.0%12.0%12.4%12.4% short
Kill/death ratio0.721.021.030.32 short
Match win rate13.5%44.7%45.2%31.7% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSenpai VontaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER9,032 · Light Blue bandcsdb.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

Aim82
Positioning56
Utility59

0–100 skill scores via Leetify.

Recent form

HOT65–34–1Last 10065%Win rateWWLWLWWWWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −0.5pp headshot accuracy · −7ms 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 0.06
  • Avg headshot accuracy 17%
  • Avg reaction 594ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 606ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 610ms

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 (+1.5 against its own average).

Aim8.2
Utility5.9
Positioning5.6
Opening Duels3.6
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

Twistzz

Plays most like Twistzz 96% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

CT openings. Opening success drops from 58% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 598ms 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

Aim8.2
Positioning5.6
Utility5.9
Mechanics6.9
Opening Duels5.1
Win Impact10.0

Composite 6.3/10 (Solid), 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 rating0.05+0.03
first ⅓ avg 0.02 → last ⅓ avg 0.05
Reaction time607ms−55ms
first ⅓ avg 662ms → last ⅓ avg 607ms
Headshot accuracy18.3%−3.5%
first ⅓ avg 21.9% → last ⅓ avg 18.3%

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

0.23Best match rating · 13–4 · inferno, 4 May →
46%Best headshot accuracy · 5–1 · mirage, 4 May →
344msFastest reaction time · 5–13 · inferno, 25 May →
13–0Biggest win · dust2, 27 Apr →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
8–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 77% over 13ancientWeakest map · 50% over 12
MapGradePlayedRecordWin rateAvg rating
dust2S2216–673%0.04
infernoS1913–668%0.06
nukeS1310–377%0.01
ancientB126–650%0.02
mirageA116–555%0.05
cacheS64–267%0.01
anubisB63–350%-0.01
train—43–175%-0.00
office—31–233%0.04
overpass—32–167%-0.02
vertigo—11–0100%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,033Lifetime kills
0.72K/D
2,419Matches
13.5%Match win rate
61.0%Headshot % · Top 5% of Level 5 players
0.0%Shot accuracy
2,428MVPs
570Hours (in match)
491Bombs planted
150Bombs defused

Most-used weapons

Lifetime map wins

2,545dust2
1,086inferno
567nuke
275train
164vertigo
122office
2ar_shoots

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

Faceit stats

Combat

13Matches
46%Win rate
1.06Avg K/D
88.8ADR
45%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage520%1.2019.0
Ancient250%1.0022.0
Inferno2100%1.2417.5
Dust2250%0.7510.0
Overpass1100%1.0017.0
Nuke10%0.8815.0

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.

17.2%Headshot accuracy
39.9%Accuracy (enemy spotted)
44.3%Spray accuracy
81.2%Counter-strafing
8.9°Preaim
598msReaction time
57.9%T opening success
42.6%CT opening success
0.58Enemies flashed / flash
11.1%Flash assists
8.52HE damage / grenade
6.86Flashes / match

Recent matches

MapScoreRatingHS%Date
inferno13–40.1121%14 Oct →
cache13–5-0.0220%14 Oct →
inferno14–160.0514%14 Oct →
inferno13–30.158%13 Oct →
ancient5–130.0024%11 Oct →
dust213–70.1218%11 Oct →
mirage13–100.0417%8 Oct →
mirage13–10.1019%7 Oct →
train13–30.0115%7 Oct →
train1–13-0.0130%7 Oct →
dust213–20.0517%6 Oct →
inferno11–30.0330%3 Oct →
anubis1–13-0.1325%3 Oct →
inferno8–13-0.0121%3 Oct →
dust213–90.048%2 Oct →
nuke13–90.0417%1 Oct →
dust213–100.0415%28 Sept →
mirage9–130.0619%27 Sept →
dust213–20.0721%27 Sept →
ancient12–140.0817%27 Sept →
dust216–120.0314%25 Sept →
dust26–130.0815%25 Sept →
mirage13–160.0412%25 Sept →
nuke13–50.1513%25 Sept →
ancient13–30.0613%24 Sept →
vertigo13–110.0514%23 Sept →
ancient13–80.0719%22 Sept →
mirage13–110.1013%22 Sept →
dust28–13-0.0320%22 Sept →
mirage13–70.0426%22 Sept →
dust215–150.0221%22 Sept →
anubis13–50.0628%22 Sept →
dust213–60.1323%22 Sept →
ancient11–13-0.0118%22 Sept →
nuke13–90.0525%22 Sept →
dust213–10.0620%21 Sept →
mirage12–16-0.0126%21 Sept →
nuke13–3-0.0422%21 Sept →
office13–110.1131%12 Jul →
office7–130.0118%11 Jul →
office9–130.0119%10 Jul →
cache13–60.0123%7 Jul →
nuke13–9-0.0128%24 Jun →
ancient13–70.0322%21 Jun →
ancient13–11-0.0013%8 Jun →
inferno13–100.0526%8 Jun →
inferno13–110.0717%4 Jun →
inferno13–3-0.0129%1 Jun →
ancient8–13-0.0526%1 Jun →
dust29–130.0628%31 May →
ancient13–70.0824%31 May →
mirage1–13-0.0313%31 May →
ancient5–130.0420%29 May →
inferno16–120.1324%29 May →
inferno13–6-0.0724%26 May →
nuke13–40.0127%26 May →
inferno5–130.0121%25 May →
anubis14–160.0524%20 May →
cache13–90.0315%20 May →
anubis13–50.0521%20 May →
mirage13–90.0711%20 May →
dust213–8-0.0125%19 May →
inferno10–130.0530%18 May →
dust213–9-0.0116%18 May →
inferno13–40.0013%15 May →
inferno11–130.0718%15 May →
cache13–6-0.0126%12 May →
inferno13–70.1428%4 May →
inferno13–20.0227%4 May →
inferno13–40.2337%4 May →
dust213–20.1122%4 May →
mirage5–10.0646%4 May →
nuke13–6-0.0223%4 May →
inferno8–130.0422%3 May →
cache5–13-0.0311%3 May →
overpass13–60.0113%3 May →
dust213–80.0425%3 May →
cache8–130.1015%29 Apr →
nuke13–60.0322%28 Apr →
nuke16–140.0722%28 Apr →
dust213–4-0.0335%28 Apr →
ancient7–13-0.0117%28 Apr →
train13–7-0.0125%28 Apr →
train13–20.0024%28 Apr →
dust213–00.0331%27 Apr →
anubis13–7-0.048%27 Apr →
mirage9–130.0619%22 Apr →
inferno13–110.0425%21 Apr →
overpass13–11-0.0327%21 Apr →
nuke6–13-0.0716%21 Apr →
anubis6–13-0.0317%21 Apr →
dust23–130.0126%21 Apr →
dust27–13-0.0121%21 Apr →
ancient13–8-0.0311%21 Apr →
dust213–40.0324%21 Apr →
dust213–20.0218%20 Apr →
nuke10–13-0.0813%20 Apr →
overpass13–16-0.0218%20 Apr →
nuke13–90.0222%20 Apr →
nuke10–13-0.089%20 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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