Señor Boom

Señor Boom — CS2 Stats

76561198031853381[U:1:71587653]Steam profile ↗✓ No bans

1,134Tracked matches31%Win rate2020Tracked since
CSDB Rating2.3 LearningPositional Player
Premier CS Rating2,405Grey band · top ~89.8% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+94Premier CS Rating · 2,311 → 2,405

Rating over time

Premier CS Rating: 2,405 -611 8 Oct – 26 Oct · 18 days played
2,3113,610peak 3,6108 Oct26 Oct
3,610Peak Premier in tracked matches
18Days played since 2026-10-08

Premier CS Rating

  • 1,205 below peak (3,610)
  • Next: Light Blue band at 5,000 — 2,595 to go

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

Share this profile

CSDB.GGSeñor BoomFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER2,405 · Grey bandcsdb.gg/stats

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Performance scores

Aim16
Positioning55
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY37–59–4Last 10037%Win rateWLLWLWLWLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +0.6pp headshot accuracy · +93ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 6%
  • Avg reaction 653ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 629ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 583ms

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 (+2.1 against its own average).

Aim1.6
Utility2.8
Positioning5.5
Opening Duels1.9

Strong CT-side openerLimited 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

donk

Plays most like donk 57% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 593ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 55% 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

Aim1.6
Positioning5.5
Utility2.8
Mechanics1.1
Opening Duels3.6
Win Impact0.0

Composite 2.3/10 (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-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time601ms−96ms
first ⅓ avg 697ms → last ⅓ avg 601ms
Headshot accuracy8.5%−3.6%
first ⅓ avg 12.1% → last ⅓ avg 8.5%

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

0.12Best match rating · 13–1 · inferno, 9 Oct →
38%Best headshot accuracy · 11–1 · dust2, 8 Oct →
438msFastest reaction time · 15–15 · mirage, 25 Oct →
13–1Biggest win · inferno, 9 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
3–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 53% over 17nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageD216–1529%0.00
infernoB179–853%-0.00
dust2D154–1127%-0.03
ancientC156–940%-0.01
anubisC125–742%-0.01
nukeD123–925%-0.02
cache—42–250%-0.02
vertigo—22–0100%0.05
overpass—20–20%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

8.3%Headshot accuracy
29.5%Accuracy (enemy spotted)
31.1%Spray accuracy
55.0%Counter-strafing
13.7°Preaim
593msReaction time
41.6%T opening success
47.5%CT opening success
0.37Enemies flashed / flash
1.8%Flash assists
7.28HE damage / grenade
1.07Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.6501° — above the 12° mark we flag

    Aim Training →
  2. 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 8.3135% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3673 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–30.0915%26 Oct →
anubis10–13-0.053%26 Oct →
cache8–13-0.057%26 Oct →
dust213–10-0.040%26 Oct →
anubis11–13-0.036%26 Oct →
ancient13–10-0.0019%26 Oct →
nuke8–13-0.065%26 Oct →
inferno9–70.037%26 Oct →
mirage9–13-0.0616%26 Oct →
dust210–13-0.0615%25 Oct →
vertigo9–20.1113%25 Oct →
anubis7–13-0.0210%25 Oct →
nuke6–13-0.035%25 Oct →
inferno13–80.0119%25 Oct →
inferno8–13-0.053%25 Oct →
ancient11–13-0.0211%25 Oct →
anubis4–13-0.060%25 Oct →
mirage15–150.005%25 Oct →
dust211–13-0.076%25 Oct →
ancient6–13-0.0315%24 Oct →
dust213–100.0810%24 Oct →
inferno11–130.0310%24 Oct →
nuke9–13-0.020%24 Oct →
ancient13–60.1017%24 Oct →
dust24–13-0.030%24 Oct →
mirage4–13-0.108%24 Oct →
dust26–130.015%24 Oct →
dust22–13-0.090%24 Oct →
inferno11–130.015%23 Oct →
anubis13–100.0321%23 Oct →
ancient13–8-0.065%23 Oct →
nuke13–50.039%23 Oct →
mirage13–30.0814%23 Oct →
dust210–13-0.007%22 Oct →
mirage16–120.0615%22 Oct →
anubis9–13-0.038%22 Oct →
inferno13–50.005%22 Oct →
dust24–13-0.0617%21 Oct →
anubis13–60.026%21 Oct →
dust25–13-0.063%21 Oct →
ancient13–3-0.0310%21 Oct →
dust214–16-0.0420%20 Oct →
inferno13–5-0.0126%20 Oct →
mirage13–5-0.0210%20 Oct →
overpass5–9-0.027%20 Oct →
ancient8–130.013%19 Oct →
nuke8–130.0115%19 Oct →
inferno13–10-0.0313%19 Oct →
vertigo13–10-0.024%18 Oct →
inferno6–13-0.025%18 Oct →
anubis13–80.005%18 Oct →
ancient2–13-0.106%18 Oct →
anubis8–13-0.036%18 Oct →
mirage13–30.059%18 Oct →
overpass7–9-0.026%18 Oct →
ancient3–13-0.070%17 Oct →
cache13–10-0.0614%17 Oct →
nuke6–13-0.029%17 Oct →
inferno10–13-0.015%15 Oct →
ancient7–13-0.020%14 Oct →
nuke15–15-0.025%14 Oct →
mirage11–130.029%14 Oct →
anubis10–130.022%14 Oct →
ancient10–130.0710%13 Oct →
mirage10–13-0.0112%13 Oct →
nuke13–7-0.033%13 Oct →
mirage10–130.0413%12 Oct →
mirage7–130.0416%12 Oct →
mirage7–130.0419%12 Oct →
nuke6–13-0.0115%12 Oct →
inferno13–30.0213%11 Oct →
mirage7–13-0.057%11 Oct →
mirage13–50.074%11 Oct →
ancient7–13-0.029%11 Oct →
mirage5–13-0.078%11 Oct →
mirage8–130.0512%11 Oct →
inferno11–130.019%11 Oct →
mirage3–13-0.100%11 Oct →
dust24–13-0.0419%11 Oct →
inferno13–11-0.0116%10 Oct →
nuke13–11-0.016%10 Oct →
cache3–13-0.0129%10 Oct →
inferno7–13-0.0511%10 Oct →
inferno10–13-0.087%10 Oct →
cache13–40.050%10 Oct →
inferno13–4-0.0123%10 Oct →
ancient15–150.027%10 Oct →
anubis13–7-0.0011%10 Oct →
mirage10–13-0.078%10 Oct →
nuke15–15-0.017%10 Oct →
mirage11–13-0.079%9 Oct →
ancient16–13-0.029%9 Oct →
nuke2–13-0.015%9 Oct →
dust213–80.067%9 Oct →
inferno13–10.1220%9 Oct →
ancient13–90.077%9 Oct →
dust211–1-0.0438%8 Oct →
mirage11–130.0125%8 Oct →
dust25–13-0.0512%8 Oct →
anubis13–40.0112%8 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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