VittuBongi

VittuBongi — CS2 Stats

AF76561197963378973[U:1:3113245]Steam profile ↗✓ No bans

178Tracked matches60%Win rate2022Tracked since
302Hours in CS9Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating14,354Blue band · top ~31.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−54Premier CS Rating · 14,408 → 14,354

Rating over time

Premier CS Rating: 14,354 -2,758 28 Jun – 15 Oct · 22 days played
12,58817,869peak 17,86928 Jun15 Oct
17,869Peak Premier in tracked matches
40Days played since 2024-10-01

Premier CS Rating

  • 3,515 below peak (17,869)
  • +1,755 over 30 days · improving
  • +1,766 over 90 days
  • Next: Purple band at 15,000 — 646 to go
  • Reached: Purple band · Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate39.5%42.0%44.3%4.8% short
Shot accuracy9.6%9.6%11.9%2.3% short
Kill/death ratio0.960.981.030.07 short
Match win rate45.9%43.8%45.2%meets

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGVittuBongiPREMIER14,354 · Blue bandcsdb.gg/stats

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Performance scores

Aim45
Positioning49
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWLWWWWLWLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.7pp headshot accuracy · −9ms reaction

Win rate 0pp 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 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 655ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 659ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 663ms

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 (+1.4 against its own average).

Aim4.5
Utility3.6
Positioning4.9
Opening Duels2.8
Clutch2.6

Strong T-side opener

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

jL

Plays most like jL 82% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 662ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.5
Positioning4.9
Utility3.6
Mechanics3.5
Opening Duels1.8
Win Impact8.3

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time660ms−18ms
first ⅓ avg 678ms → last ⅓ avg 660ms
Headshot accuracy16.9%−0.2%
first ⅓ avg 17.2% → last ⅓ avg 16.9%

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 · 13–10 · mirage, 1 Jul →
50%Best headshot accuracy · 4–13 · dust2, 8 Oct →
391msFastest reaction time · 9–5 · inferno, 2 Jul →
13–0Biggest win · cache, 19 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 55% over 31ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA3117–1455%0.00
anubisB179–853%-0.00
infernoB158–753%0.01
cacheB137–654%0.00
nukeB115–645%0.01
ancientD62–433%-0.02
dust2—20–20%-0.04
overpass—22–0100%0.03
vertigo—10–10%-0.10
poseidon—10–10%-0.01
mills—10–10%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

6,539Lifetime kills
0.96K/D
379Matches
45.9%Match win rate · Top 50% of Blue band
39.5%Headshot %
9.6%Shot accuracy
875MVPs
142Hours (in match)
424Bombs planted
116Bombs defused

Most-used weapons

Lifetime map wins

983inferno
167nuke
87dust2
59train
19vertigo
12office
1ar_monastery
1ar_shoots

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

Faceit stats

Combat

7Matches
57%Win rate
1.18Avg K/D
96.4ADR
43%Headshot %

Clutches & streaks

33%1v1 clutch win
20%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%1.6720.0
Nuke1100%1.0619.0
Overpass10%1.4423.0
Mirage1100%1.3324.0
Cache10%1.0331.0
Dust210%0.507.0
Inferno1100%1.2426.0

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.

17.7%Headshot accuracy
34.7%Accuracy (enemy spotted)
35.2%Spray accuracy
65.8%Counter-strafing
11.4°Preaim
662msReaction time
42.3%T opening success
32.2%CT opening success
0.41Enemies flashed / flash
0.7%Flash assists
5.24HE damage / grenade
6.68Flashes / 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 0.412 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 32.1913% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–70.0510%15 Oct →
ancient11–130.0422%15 Oct →
anubis13–8-0.0410%14 Oct →
cache13–60.0124%14 Oct →
nuke13–40.0327%13 Oct →
anubis13–80.035%13 Oct →
mirage11–130.0314%13 Oct →
anubis13–8-0.0510%11 Oct →
dust24–13-0.0050%8 Oct →
cache1–13-0.0530%8 Oct →
cache5–20.027%8 Oct →
anubis13–9-0.0020%8 Oct →
ancient11–13-0.0518%6 Oct →
mirage13–5-0.0618%26 Sept →
nuke8–130.0013%22 Sept →
mirage11–30.0515%22 Sept →
cache13–80.0125%22 Sept →
inferno13–70.0325%20 Sept →
dust211–13-0.0716%20 Sept →
mirage6–130.0328%20 Sept →
inferno11–13-0.0015%28 Aug →
ancient13–7-0.0417%12 Aug →
cache13–110.0110%7 Aug →
mirage13–11-0.0315%7 Aug →
anubis9–13-0.055%7 Aug →
nuke13–70.0914%5 Aug →
cache13–100.0715%5 Aug →
mirage9–130.0220%5 Aug →
mirage11–13-0.0318%4 Aug →
nuke13–90.0024%31 Jul →
anubis2–11-0.087%31 Jul →
mirage8–13-0.048%29 Jul →
anubis13–40.046%29 Jul →
inferno13–20.0614%29 Jul →
inferno10–130.0812%29 Jul →
inferno14–16-0.0410%27 Jul →
cache2–13-0.117%27 Jul →
cache15–15-0.0115%27 Jul →
ancient5–13-0.0117%27 Jul →
mirage13–10.0110%27 Jul →
mirage13–80.0113%27 Jul →
mirage2–13-0.0320%27 Jul →
mirage13–60.0213%26 Jul →
anubis9–13-0.0611%26 Jul →
mirage16–140.0113%26 Jul →
mirage11–130.0013%26 Jul →
anubis16–130.0415%24 Jul →
nuke9–130.0213%24 Jul →
inferno13–90.0014%24 Jul →
mirage3–13-0.0217%24 Jul →
nuke1–13-0.0912%19 Jul →
anubis13–9-0.0010%19 Jul →
mirage6–13-0.0515%19 Jul →
mirage13–70.0314%19 Jul →
cache13–00.0417%19 Jul →
mirage7–13-0.0920%19 Jul →
inferno3–13-0.0613%19 Jul →
anubis7–13-0.0620%18 Jul →
anubis5–130.0318%18 Jul →
mirage13–100.0212%18 Jul →
mirage16–130.0615%18 Jul →
nuke3–13-0.0125%18 Jul →
cache8–130.0224%11 Jul →
mirage10–13-0.037%10 Jul →
cache13–2-0.0317%10 Jul →
mirage9–13-0.0518%9 Jul →
cache12–120.0623%8 Jul →
vertigo4–9-0.1017%7 Jul →
poseidon3–9-0.0143%7 Jul →
cache1–13-0.0225%7 Jul →
mirage13–110.0110%6 Jul →
mirage13–40.0015%2 Jul →
mirage13–5-0.0019%2 Jul →
inferno9–50.025%2 Jul →
ancient12–16-0.0118%2 Jul →
inferno11–13-0.0113%1 Jul →
mirage13–100.1326%1 Jul →
overpass13–50.0212%1 Jul →
anubis13–40.0722%1 Jul →
nuke10–13-0.0212%1 Jul →
anubis10–13-0.0215%1 Jul →
anubis10–13-0.0315%1 Jul →
mirage9–13-0.0011%1 Jul →
ancient16–13-0.0221%1 Jul →
nuke15–150.0442%1 Jul →
mirage13–70.0621%28 Jun →
anubis8–130.0112%26 Jun →
inferno13–50.0412%26 Jun →
nuke16–130.0215%25 Jun →
mirage6–130.0218%25 Jun →
inferno7–90.0233%24 Jun →
anubis13–40.1010%24 Jun →
inferno13–10-0.008%24 Jun →
inferno13–80.0313%29 Oct →
mirage13–80.0019%21 Oct →
overpass13–40.0516%24 Sept →
mirage13–11-0.0013%22 Sept →
inferno9–13-0.049%18 Sept →
mills5–13-0.0013%19 Oct →
inferno13–30.1016%1 Oct →

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 →

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