Bobrino Bombardino

Bobrino Bombardino — CS2 Stats

76561198060755417[U:1:100489689]Steam profile ↗✓ No bans

3,237Tracked matches48%Win rate2020Tracked since
5,300Hours in CS15Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating14,313Blue band · top ~32% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (yesterday). 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: 14,313 -3,393 31 Aug – 30 Oct · 33 days played
13,16817,706peak 17,70631 Aug30 Oct
17,706Peak Premier in tracked matches
33Days played since 2026-08-31

Premier CS Rating

  • 3,393 below peak (17,706)
  • -1,020 over 30 days · declining
  • Next: Purple band at 15,000 — 687 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 rate38.0%42.0%44.4%6.3% short
Shot accuracy8.9%9.6%11.9%3.0% short
Kill/death ratio1.080.981.03above
Match win rate44.4%43.8%45.2%meets

This profile matches the typical Purple band player on 2 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.GGBobrino BombardinoPREMIER14,313 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning74
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY36–59–5Last 10036%Win rateWWWLLWWLLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +3.3pp headshot accuracy · −16ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 581ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 564ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 572ms

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 (+1.6 against its own average).

Aim6.1
Utility4.8
Positioning7.4
Opening Duels5.3

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 73% 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. 63% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 63% on T to 48% on CT — first contacts on the defending side are being lost.

Reaction time. 575ms 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

Aim6.1
Positioning7.4
Utility4.8
Mechanics5.4
Opening Duels6.3
Win Impact4.4

Composite 5.6/10 (Solid), 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 rating0.04+0.04
first ⅓ avg -0.01 → last ⅓ avg 0.04
Reaction time570ms+14ms
first ⅓ avg 555ms → last ⅓ avg 570ms
Headshot accuracy11.6%−1.6%
first ⅓ avg 13.2% → last ⅓ avg 11.6%

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

0.21Best match rating · 13–2 · nuke, 18 Oct →
32%Best headshot accuracy · 8–13 · inferno, 24 Sept →
422msFastest reaction time · 13–8 · nuke, 16 Oct →
13–2Biggest win · nuke, 18 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
9–11In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 56% over 25ancientWeakest map · 14% over 21
MapGradePlayedRecordWin rateAvg rating
nukeA2514–1156%0.02
anubisC238–1535%0.02
ancientD213–1814%0.01
infernoB136–746%0.01
mirageD93–633%0.00
dust2D51–420%-0.00
cache—41–325%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

143,955Lifetime kills
1.08K/D · Top 50% of Blue band
7,932Matches
44.4%Match win rate · Top 50% of Blue band
38.0%Headshot %
8.9%Shot accuracy
17,839MVPs
3,239Hours (in match)
9,765Bombs planted
2,589Bombs defused

Most-used weapons

AK-4734,387
AWP9,536
SSG 086,835
MP94,093
XM10143,864

Lifetime map wins

15,586inferno
9,480dust2
8,763nuke
7,407vertigo
389train
227lake
220cbble
186safehouse

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

Faceit stats

Combat

1Matches
0%Win rate
1.33Avg K/D
—ADR
17%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

11.2%Headshot accuracy
37.8%Accuracy (enemy spotted)
39.5%Spray accuracy
74.3%Counter-strafing
10.8°Preaim
575msReaction time
63.0%T opening success
47.7%CT opening success
0.33Enemies flashed / flash
1.5%Flash assists
6.76HE damage / grenade
9.89Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.1907% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3274 — below the 0.5 mark we flag

    Grenade Lineups →
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.

14% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–50.097%30 Oct →
nuke16–140.0914%30 Oct →
inferno13–50.058%30 Oct →
mirage9–130.0021%30 Oct →
anubis10–13-0.0314%27 Oct →
nuke13–100.0616%27 Oct →
mirage13–10-0.0210%22 Oct →
nuke10–13-0.0010%22 Oct →
nuke5–130.0619%22 Oct →
anubis13–110.0813%20 Oct →
anubis13–100.0310%20 Oct →
nuke13–60.127%20 Oct →
dust26–130.0412%20 Oct →
nuke13–20.217%18 Oct →
nuke13–110.087%18 Oct →
mirage4–13-0.0315%18 Oct →
nuke10–130.0312%17 Oct →
anubis8–13-0.0113%17 Oct →
mirage5–130.0312%17 Oct →
mirage7–130.014%17 Oct →
anubis11–130.055%16 Oct →
nuke13–80.0314%16 Oct →
nuke16–130.1611%15 Oct →
nuke13–7-0.0012%14 Oct →
nuke11–13-0.066%13 Oct →
ancient10–130.0710%13 Oct →
ancient14–160.018%13 Oct →
nuke15–15-0.0210%11 Oct →
anubis11–130.0911%11 Oct →
mirage13–110.0516%11 Oct →
inferno13–10-0.038%10 Oct →
cache4–13-0.0414%10 Oct →
anubis3–13-0.0025%10 Oct →
ancient13–110.0912%10 Oct →
nuke13–50.0111%9 Oct →
anubis12–16-0.038%9 Oct →
dust24–13-0.0514%9 Oct →
dust23–13-0.078%9 Oct →
anubis2–130.0122%8 Oct →
cache3–13-0.028%8 Oct →
inferno13–60.0511%2 Oct →
anubis13–160.0915%2 Oct →
anubis9–13-0.032%2 Oct →
ancient6–130.0211%1 Oct →
nuke13–100.139%1 Oct →
nuke13–11-0.006%1 Oct →
ancient13–50.087%29 Sept →
anubis13–100.1019%29 Sept →
dust28–13-0.0414%29 Sept →
inferno10–130.048%26 Sept →
anubis13–100.0210%26 Sept →
mirage8–130.0118%26 Sept →
inferno13–11-0.0414%26 Sept →
mirage13–80.039%25 Sept →
anubis13–30.1011%25 Sept →
nuke15–15-0.0222%25 Sept →
inferno8–13-0.0532%24 Sept →
anubis11–130.0218%24 Sept →
ancient7–13-0.0719%22 Sept →
ancient4–13-0.0717%22 Sept →
inferno7–130.0718%22 Sept →
anubis11–130.106%21 Sept →
anubis13–40.0010%21 Sept →
ancient6–130.0227%21 Sept →
ancient9–13-0.0428%21 Sept →
nuke5–13-0.037%19 Sept →
nuke13–2-0.045%19 Sept →
anubis8–13-0.0419%19 Sept →
nuke9–13-0.089%19 Sept →
anubis4–130.0214%17 Sept →
ancient9–13-0.0013%17 Sept →
nuke13–10-0.0219%17 Sept →
ancient13–160.0316%16 Sept →
anubis8–13-0.019%16 Sept →
ancient11–130.0716%13 Sept →
nuke11–130.0222%13 Sept →
ancient13–110.0115%13 Sept →
inferno15–150.0118%11 Sept →
nuke6–13-0.0115%11 Sept →
ancient5–13-0.015%11 Sept →
ancient14–160.0316%11 Sept →
anubis13–11-0.045%9 Sept →
ancient15–15-0.044%9 Sept →
inferno6–13-0.033%9 Sept →
ancient7–13-0.0110%8 Sept →
anubis13–80.0215%8 Sept →
inferno13–90.0014%8 Sept →
ancient10–130.007%6 Sept →
inferno13–30.0311%6 Sept →
ancient11–13-0.0518%6 Sept →
nuke4–13-0.118%4 Sept →
cache6–130.0217%4 Sept →
inferno10–130.0321%4 Sept →
anubis10–130.0113%4 Sept →
ancient15–150.0112%1 Sept →
mirage4–13-0.069%1 Sept →
ancient11–13-0.0310%1 Sept →
nuke13–8-0.0110%31 Aug →
inferno9–13-0.0017%31 Aug →
cache13–40.0426%31 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 →

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