Rontzu dogi |  @bandit

Rontzu dogi | @bandit — CS2 Stats

FI76561198950507954[U:1:990242226]Steam profile ↗✓ No bans

1,208Tracked matches33%Win rate2020Tracked since
2,656Hours in CS79Hrs last 2 wks
CSDB Rating2.7 LearningPositional Player
Premier CS Rating3,718Grey band · top ~84.2% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (2 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 24 days played since 26 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 3,718 -4,014 26 Aug21 Sept · 23 days played
3,7188,231peak 8,23126 Aug21 Sept
8,250Peak Premier in tracked matches
24Days played since 2026-08-26

Premier CS Rating

  • 4,513 below peak (8,231)
  • -4,014 over 30 days · declining
  • Next: Light Blue band at 5,000 1,282 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.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=9,396), 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 3 medianLevel 4 medianvs Level 4
Headshot rate45.9%41.9%42.7%above
Shot accuracy12.1%12.2%11.3%above
Kill/death ratio1.040.980.99above
Match win rate42.8%43.3%43.9%1.1% short

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRontzu dogi | @banditFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER3,718 · Grey 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

Aim28
Positioning58
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY39583Last 10039%Win rateLLWWWLLLLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +0.4pp headshot accuracy · +51ms 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

  • 32 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 650ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 715ms

Last 20

  • 713 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 689ms

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 PlayerPositioning stands above the rest of this profile (+1.7 against its own average).

Aim2.8
Utility3.7
Positioning5.8
Opening Duels3.1
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

jL

Plays most like jL 59% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 60% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 656ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 50% 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

Aim2.8
Positioning5.8
Utility3.7
Mechanics0.0
Opening Duels4.4
Win Impact0.0

Composite 2.7/10 (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 rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time662ms+27ms
first ⅓ avg 636ms → last ⅓ avg 662ms
Headshot accuracy16.2%+0.9%
first ⅓ avg 15.2% → last ⅓ avg 16.2%

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

0.22Best match rating · 9–4 · poseidon, 15 Sept
46%Best headshot accuracy · 13–3 · dust2, 1 Sept
422msFastest reaction time · 9–6 · inferno, 29 Aug
13–2Biggest win · mirage, 4 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
96In matches decided by ≤2 rounds
7Overtime games

Map breakdown

poseidonBest map · 80% over 5infernoWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
mirageD2061430%-0.04
anubisC1661038%-0.00
nukeB168850%0.01
ancientB147750%-0.00
dust2C135838%0.00
infernoD1321115%-0.08
poseidonS54180%0.12
cache31233%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

70,074Lifetime kills
1.04K/D · Top 50% of Level 3 players
3,452Matches
42.8%Match win rate
45.9%Headshot % · Top 50% of Level 3 players
12.1%Shot accuracy
10,458MVPs
1,387Hours (in match)
1,805Bombs planted
940Bombs defused

Most-used weapons

AK-4721,441
AWP8,379
SSG 081,377
Knife1,176
MP91,108

Lifetime map wins

5,547inferno
3,879nuke
2,588vertigo
2,237dust2
1,661train
183cbble
172lake
164office

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

Faceit stats

Combat

1,061Matches
49%Win rate
1.24Avg K/D
87.3ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage18741%1.1517.9
Inferno9455%1.2918.4
Ancient8551%1.2318.4
Nuke6955%1.4320.3
Anubis5850%1.0216.8
Dust24238%0.8312.8
Vertigo2861%1.2819.6
Train1338%1.3719.8

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.

15.6%Headshot accuracy
32.6%Accuracy (enemy spotted)
34.3%Spray accuracy
49.8%Counter-strafing
11.0°Preaim
656msReaction time
60.4%T opening success
35.1%CT opening success
0.48Enemies flashed / flash
4.5%Flash assists
8.11HE damage / grenade
8.54Flashes / 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 0.4751 — 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 35.1371% — below the 40% mark we flag

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.

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis7–130.0623%21 Sept
nuke9–13-0.0218%19 Sept
cache13–110.1113%19 Sept
nuke13–9-0.0417%19 Sept
ancient16–14-0.0315%19 Sept
dust27–13-0.0113%19 Sept
nuke10–130.0217%18 Sept
mirage11–13-0.0513%18 Sept
mirage2–13-0.0611%18 Sept
anubis13–7-0.0122%17 Sept
ancient8–130.0516%16 Sept
mirage0–4-0.140%16 Sept
nuke2–13-0.0126%16 Sept
poseidon9–60.1215%15 Sept
poseidon9–40.2222%15 Sept
ancient14–16-0.049%13 Sept
mirage13–90.0331%13 Sept
mirage6–13-0.1010%13 Sept
ancient5–130.0014%13 Sept
ancient5–13-0.0313%13 Sept
mirage12–16-0.0615%11 Sept
nuke13–100.0223%11 Sept
mirage10–13-0.0410%11 Sept
ancient13–80.1111%11 Sept
nuke4–130.0015%11 Sept
nuke13–50.0519%10 Sept
nuke9–20.1025%10 Sept
inferno6–9-0.0425%10 Sept
anubis8–130.0214%9 Sept
nuke13–80.0313%9 Sept
ancient13–50.0315%9 Sept
ancient6–130.0220%9 Sept
anubis10–130.0115%8 Sept
mirage7–13-0.0012%8 Sept
poseidon9–20.0714%8 Sept
inferno1–9-0.270%8 Sept
cache6–130.0120%7 Sept
dust24–13-0.0416%7 Sept
mirage13–10-0.018%7 Sept
ancient13–100.0014%7 Sept
mirage13–11-0.0111%6 Sept
anubis13–7-0.0117%6 Sept
nuke6–20.028%6 Sept
dust214–160.0025%6 Sept
inferno4–13-0.0511%6 Sept
ancient3–13-0.1411%6 Sept
inferno1–9-0.220%6 Sept
poseidon8–80.1013%6 Sept
inferno4–9-0.149%6 Sept
anubis8–13-0.0323%5 Sept
anubis16–130.0316%5 Sept
inferno13–11-0.0022%5 Sept
dust213–90.0122%5 Sept
anubis5–130.0617%5 Sept
inferno7–90.0210%5 Sept
anubis2–13-0.075%4 Sept
mirage6–130.1020%4 Sept
nuke8–13-0.0715%4 Sept
mirage11–13-0.0717%4 Sept
mirage13–2-0.0418%4 Sept
anubis5–13-0.029%4 Sept
dust27–130.0515%4 Sept
ancient13–100.0317%4 Sept
nuke5–13-0.059%4 Sept
mirage13–11-0.0314%3 Sept
anubis13–90.016%3 Sept
nuke7–130.0418%3 Sept
mirage12–160.0320%3 Sept
mirage7–13-0.083%3 Sept
dust22–13-0.0814%3 Sept
mirage13–11-0.018%2 Sept
nuke7–13-0.0022%2 Sept
dust27–13-0.0419%2 Sept
dust216–140.0119%2 Sept
dust213–7-0.0216%1 Sept
inferno11–13-0.0317%1 Sept
dust210–13-0.027%1 Sept
dust213–30.0846%1 Sept
mirage9–13-0.084%1 Sept
mirage8–13-0.009%31 Aug
ancient4–13-0.0510%31 Aug
inferno8–8-0.0324%31 Aug
poseidon9–70.106%31 Aug
anubis13–7-0.0013%30 Aug
mirage10–13-0.0514%29 Aug
nuke13–90.0521%29 Aug
dust213–80.0621%29 Aug
inferno9–6-0.0519%29 Aug
inferno5–9-0.1112%29 Aug
nuke13–11-0.029%28 Aug
inferno3–13-0.066%28 Aug
ancient13–50.0717%28 Aug
anubis0–13-0.0630%28 Aug
anubis9–13-0.0514%28 Aug
dust27–130.0111%28 Aug
anubis9–130.0212%28 Aug
anubis13–9-0.0316%27 Aug
cache4–13-0.080%27 Aug
inferno8–8-0.0628%27 Aug
ancient13–9-0.0519%26 Aug

Match data via Leetify.

Recent teammates

Milestones

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