Rontzudogi @bandit

Rontzudogi @bandit — CS2 Stats

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

1,381Tracked matches48%Win rate2020Tracked since
2,861Hours in CS78Hrs last 2 wks
CSDB Rating3.7 LearningPositional Player
Premier CS Rating7,003Light Blue band · top ~69.2% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 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: 7,003 +3,285 23 Sept – 31 Oct · 24 days played
3,7187,133peak 7,13323 Sept31 Oct
7,500Peak Premier in tracked matches
29Days played since 2026-09-23

Premier CS Rating

  • 130 below peak (7,133)
  • +3,079 over 30 days · improving
  • Next: Blue band at 10,000 — 2,997 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=10,505), 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 rate45.6%41.8%42.7%above
Shot accuracy11.6%12.2%11.2%above
Kill/death ratio1.030.980.99above
Match win rate43.0%43.3%43.9%0.9% 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.GGRontzudogi @banditFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER7,003 · 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

Aim46
Positioning47
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateTWLWWTWLLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +2.2pp headshot accuracy · +82ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 698ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 697ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 656ms

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 (+0.8 against its own average).

Aim4.6
Utility4.2
Positioning4.7
Opening Duels2.6
Clutch4.0

Limited utility dependence

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

m0NESY

Plays most like m0NESY 79% 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. 635ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 56% 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

Aim4.6
Positioning4.7
Utility4.2
Mechanics1.4
Opening Duels5.2
Win Impact4.4

Composite 3.7/10 (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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time639ms+10ms
first ⅓ avg 629ms → last ⅓ avg 639ms
Headshot accuracy17.5%+2.6%
first ⅓ avg 14.9% → last ⅓ avg 17.5%

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

0.20Best match rating · 4–9 · inferno, 6 Oct →
47%Best headshot accuracy · 0–13 · inferno, 20 Oct →
453msFastest reaction time · 5–11 · dust2, 31 Oct →
13–0Biggest win · ancient, 30 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–1In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 58% over 24dust2Weakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
ancientA2414–1058%-0.00
infernoB179–853%0.01
mirageC156–940%-0.04
nukeA148–657%0.01
anubisB137–654%-0.00
dust2D124–833%-0.02
vertigo—21–150%-0.01
cache—21–150%-0.04
poseidon—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

72,843Lifetime kills
1.03K/D · Top 50% of Level 3 players
3,662Matches
43.0%Match win rate
45.6%Headshot % · Top 50% of Level 3 players
11.6%Shot accuracy
10,885MVPs
1,455Hours (in match)
1,885Bombs planted
978Bombs defused

Most-used weapons

AK-4722,007
AWP8,829
SSG 081,739
Knife1,208
FAMAS1,196

Lifetime map wins

5,813inferno
4,118nuke
2,605vertigo
2,442dust2
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

1,103Matches
49%Win rate
1.22Avg K/D
86.3ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage20441%1.1217.4
Inferno9555%1.2818.4
Ancient8949%1.2218.3
Nuke7556%1.3919.7
Anubis6551%1.0116.4
Dust24838%0.8212.7
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.

17.1%Headshot accuracy
35.1%Accuracy (enemy spotted)
36.9%Spray accuracy
56.5%Counter-strafing
10.1°Preaim
635msReaction time
57.5%T opening success
44.0%CT opening success
0.63Enemies flashed / flash
3.8%Flash assists
7.00HE damage / grenade
3.21Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.209 — below the 4 mark we flag

    Grenade Lineups →
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.

33% win rate across 12 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
vertigo8–8-0.1115%4 Nov →
vertigo9–50.0813%4 Nov →
nuke1–9-0.1922%3 Nov →
nuke9–60.1119%3 Nov →
nuke9–60.1314%3 Nov →
nuke8–80.0120%3 Nov →
inferno9–60.0920%2 Nov →
nuke3–9-0.0816%1 Nov →
nuke5–9-0.0221%1 Nov →
nuke9–40.1515%1 Nov →
dust25–11-0.0618%31 Oct →
nuke5–13-0.109%31 Oct →
ancient13–60.0514%31 Oct →
mirage4–13-0.0621%30 Oct →
anubis13–90.0114%30 Oct →
nuke13–70.0623%30 Oct →
ancient13–00.0012%30 Oct →
dust29–130.0418%30 Oct →
ancient1–13-0.0613%29 Oct →
mirage2–13-0.0911%29 Oct →
nuke13–2-0.0413%29 Oct →
inferno3–9-0.1519%29 Oct →
ancient13–100.0115%28 Oct →
mirage13–16-0.0914%28 Oct →
ancient7–130.0731%28 Oct →
ancient9–130.0121%26 Oct →
inferno5–13-0.0826%26 Oct →
anubis13–5-0.0330%26 Oct →
ancient13–30.1029%26 Oct →
mirage16–12-0.019%25 Oct →
anubis13–00.0617%24 Oct →
dust25–13-0.0818%24 Oct →
ancient3–13-0.0712%24 Oct →
nuke13–10-0.0811%24 Oct →
ancient15–15-0.049%24 Oct →
dust29–13-0.0532%24 Oct →
mirage13–9-0.0210%23 Oct →
anubis16–130.0125%23 Oct →
ancient4–13-0.096%23 Oct →
dust28–13-0.0516%23 Oct →
nuke13–90.0420%23 Oct →
ancient13–100.0812%23 Oct →
dust213–40.0515%20 Oct →
inferno0–13-0.1047%20 Oct →
inferno8–80.0014%20 Oct →
dust29–13-0.0320%19 Oct →
ancient7–13-0.059%19 Oct →
inferno8–130.0216%19 Oct →
ancient13–60.0420%18 Oct →
inferno9–70.028%18 Oct →
anubis6–130.0022%17 Oct →
inferno13–50.0231%17 Oct →
anubis4–13-0.0219%17 Oct →
nuke13–60.0926%17 Oct →
ancient13–8-0.0014%17 Oct →
dust213–3-0.0931%17 Oct →
ancient13–50.0116%17 Oct →
mirage1–7-0.0413%16 Oct →
anubis6–130.016%15 Oct →
mirage10–13-0.0513%15 Oct →
ancient10–13-0.0212%15 Oct →
mirage9–13-0.048%15 Oct →
mirage2–13-0.0620%14 Oct →
ancient13–5-0.0112%14 Oct →
anubis13–9-0.0317%14 Oct →
anubis1–13-0.0532%14 Oct →
inferno4–13-0.0315%14 Oct →
anubis13–30.1015%14 Oct →
ancient13–70.0119%13 Oct →
cache13–9-0.0611%13 Oct →
mirage13–8-0.0518%13 Oct →
nuke12–16-0.0213%13 Oct →
mirage13–8-0.064%12 Oct →
cache3–13-0.036%12 Oct →
dust213–110.0218%12 Oct →
dust20–13-0.0512%12 Oct →
inferno13–9-0.0615%12 Oct →
poseidon8–8-0.0513%12 Oct →
anubis5–130.0124%11 Oct →
ancient13–90.0416%10 Oct →
ancient13–7-0.0512%10 Oct →
inferno13–10-0.034%10 Oct →
inferno6–13-0.095%9 Oct →
ancient16–130.0214%9 Oct →
ancient11–13-0.0510%9 Oct →
mirage13–8-0.058%9 Oct →
anubis3–13-0.078%8 Oct →
ancient7–13-0.028%8 Oct →
inferno9–20.168%8 Oct →
mirage5–13-0.053%8 Oct →
mirage13–100.0213%8 Oct →
dust213–40.0033%8 Oct →
inferno9–7-0.0117%7 Oct →
inferno9–30.1635%7 Oct →
anubis13–7-0.029%7 Oct →
inferno4–90.2032%6 Oct →
inferno9–7-0.0224%6 Oct →
mirage6–130.0219%5 Oct →
ancient13–70.0326%5 Oct →
dust28–130.0318%4 Oct →

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 →

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