Bored Hitman

Bored Hitman — CS2 Stats

76561199307615524[U:1:1347349796]Steam profile ↗✓ No bans

1,168Tracked matches44%Win rate2023Tracked since
1,199Hours in CS42Hrs last 2 wks
CSDB Rating4.0 DevelopingSupport
CSDB Leaderboard#95777 of 253405 tracked
FaceitLevel 3 · 787 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (47 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 787 → 787
+126Tracked matches · now 1,168
−14.6ppWin rate · 59.1% → 44.4%

Rating over time

Premier CS Rating: 19,054 +0 31 Aug – 2 Sept · 2 observations
19,05419,054peak 19,05431 Aug2 Sept
Faceit ELO: 787 +0 31 Aug – 2 Sept · 2 observations
787787peak 78731 Aug2 Sept
19,054Peak Premier on CSDB
787Highest Faceit ELO seen on CSDB
16Days played since 2026-08-31

Faceit ELO

  • At peak — 787
  • Next: Level 4 at 901 — 114 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-31
  • Level 2 first seen 2026-08-31

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,259), 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 rate36.0%41.8%42.7%6.7% short
Shot accuracy0.9%12.2%11.3%10.3% short
Kill/death ratio0.950.980.990.04 short
Match win rate51.1%43.3%43.9%above

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

Widest gap: Shot accuracy. 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.GGBored HitmanFACEITLevel 3 · 787 ELOSTANDINGTop 90.6% of rankedPEAK ELO787csdb.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

Aim47
Positioning47
Utility57

0–100 skill scores via Leetify.

Recent form

COLD49–40–11Last 10049%Win rateWTLWLLTLWL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · +0.8pp headshot accuracy · −43ms reaction

Win rate down 30pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 498ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 530ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 551ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim4.7
Utility5.7
Positioning4.7
Opening Duels1.0
Clutch5.2

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

Twistzz

Plays most like Twistzz 75% 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

CT openings. Opening success drops from 52% on T to 29% on CT — first contacts on the defending side are being lost.

Reaction time. 559ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.7
Positioning4.7
Utility5.7
Mechanics4.2
Opening Duels2.8
Win Impact3.1

Composite 4.0/10 (Developing), 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-0.02−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time566ms−9ms
first ⅓ avg 574ms → last ⅓ avg 566ms
Headshot accuracy11.5%−5.4%
first ⅓ avg 16.8% → last ⅓ avg 11.5%

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

0.11Best match rating · 12–12 · nuke, 3 Oct →
67%Best headshot accuracy · 3–0 · inferno, 3 Oct →
383msFastest reaction time · 3–7 · rush_001, 13 Oct →
13–1Biggest win · dust2, 1 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

cacheBest map · 83% over 12nukeWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C238–1535%-0.03
mirageC177–1041%-0.01
cacheS1210–283%0.04
nukeD113–827%-0.00
infernoC94–544%-0.01
ancientS96–367%-0.00
trainS96–367%-0.01
anubis—42–250%-0.04
overpass—31–233%-0.00
vertigo—11–0100%-0.03
office—11–0100%-0.05
rush_001—10–10%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,043Lifetime kills
0.95K/D
2,124Matches
51.1%Match win rate · Top 10% of Level 3 players
36.0%Headshot %
0.9%Shot accuracy
3,436MVPs
699Hours (in match)
1,188Bombs planted
491Bombs defused

Most-used weapons

Lifetime map wins

3,199nuke
2,629inferno
2,537dust2
1,370vertigo
572train
187office
39italy
14cbble

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

Faceit stats

Combat

125Matches
46%Win rate
0.93Avg K/D
76.7ADR
35%Headshot %

Clutches & streaks

46%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4248%0.8912.5
Dust22250%0.8511.3
Inferno1520%0.8116.0
Nuke1315%1.1515.6
Ancient1164%0.6910.0
Vertigo1080%1.2214.3
Anubis956%0.7814.9
Train367%2.3513.0

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.

11.6%Headshot accuracy
32.2%Accuracy (enemy spotted)
35.4%Spray accuracy
69.1%Counter-strafing
10.8°Preaim
559msReaction time
52.3%T opening success
28.9%CT opening success
0.57Enemies flashed / flash
6.3%Flash assists
14.90HE damage / grenade
5.81Flashes / 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 11.6223% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 28.8593% — below the 40% mark we flag

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–40.0013%18 Oct →
nuke15–150.0216%18 Oct →
inferno8–13-0.0512%18 Oct →
ancient16–130.0514%18 Oct →
mirage11–13-0.0816%18 Oct →
ancient6–13-0.068%18 Oct →
dust212–12-0.018%18 Oct →
mirage7–130.0115%17 Oct →
dust213–2-0.0110%17 Oct →
mirage6–13-0.026%17 Oct →
inferno4–13-0.095%17 Oct →
anubis8–13-0.0614%17 Oct →
dust213–8-0.057%17 Oct →
cache13–40.0912%17 Oct →
vertigo13–8-0.038%16 Oct →
ancient13–9-0.067%16 Oct →
office13–4-0.059%16 Oct →
cache13–70.0714%16 Oct →
dust211–13-0.0014%16 Oct →
cache7–130.0119%16 Oct →
train13–110.0413%16 Oct →
dust210–13-0.0816%16 Oct →
dust29–13-0.0422%16 Oct →
mirage6–13-0.059%16 Oct →
inferno12–12-0.076%16 Oct →
dust213–9-0.0212%15 Oct →
mirage13–80.0214%15 Oct →
ancient10–13-0.095%15 Oct →
inferno10–13-0.0311%15 Oct →
train6–13-0.0710%15 Oct →
dust25–13-0.0812%15 Oct →
overpass13–7-0.0217%14 Oct →
mirage12–12-0.046%13 Oct →
rush_0013–7-0.0519%13 Oct →
mirage12–120.0118%9 Oct →
dust213–11-0.0318%9 Oct →
dust213–9-0.0711%9 Oct →
nuke12–12-0.0516%8 Oct →
train13–5-0.0118%8 Oct →
anubis13–4-0.0319%8 Oct →
dust26–130.0116%8 Oct →
mirage13–50.0313%8 Oct →
mirage13–80.0210%7 Oct →
train12–12-0.0511%7 Oct →
ancient13–110.038%7 Oct →
nuke0–4-0.0413%7 Oct →
dust29–13-0.0219%7 Oct →
train13–70.0215%7 Oct →
anubis13–3-0.029%6 Oct →
nuke8–13-0.0217%6 Oct →
dust27–130.0413%6 Oct →
cache13–9-0.0011%6 Oct →
mirage3–9-0.0416%6 Oct →
dust27–13-0.0324%6 Oct →
dust213–7-0.0216%6 Oct →
cache13–80.0320%6 Oct →
ancient13–80.046%5 Oct →
cache13–60.1015%5 Oct →
train8–3-0.0416%5 Oct →
overpass11–130.0421%5 Oct →
inferno13–30.0111%5 Oct →
mirage3–13-0.0211%5 Oct →
cache13–30.0917%5 Oct →
cache13–5-0.0116%4 Oct →
dust24–13-0.108%4 Oct →
cache13–9-0.0215%4 Oct →
inferno11–13-0.0213%4 Oct →
cache13–30.0320%4 Oct →
mirage13–60.0017%3 Oct →
mirage6–00.0818%3 Oct →
inferno3–00.1067%3 Oct →
dust212–12-0.0217%3 Oct →
nuke13–9-0.0412%3 Oct →
dust211–13-0.019%3 Oct →
nuke10–130.0522%3 Oct →
inferno5–10.010%3 Oct →
dust212–120.0514%3 Oct →
train13–8-0.0123%3 Oct →
nuke13–11-0.0125%3 Oct →
nuke12–120.1112%3 Oct →
ancient13–70.0621%3 Oct →
dust24–13-0.0719%3 Oct →
ancient13–60.0712%2 Oct →
mirage13–4-0.029%2 Oct →
nuke13–10-0.0118%2 Oct →
inferno13–50.019%2 Oct →
anubis8–13-0.0617%2 Oct →
dust28–13-0.109%2 Oct →
cache5–13-0.0312%2 Oct →
mirage0–13-0.0126%2 Oct →
nuke4–13-0.0516%2 Oct →
overpass4–13-0.0319%2 Oct →
ancient11–13-0.0516%2 Oct →
mirage13–9-0.048%1 Oct →
train8–130.0019%1 Oct →
cache13–60.1011%1 Oct →
nuke6–130.0323%1 Oct →
mirage12–12-0.0413%1 Oct →
dust213–1-0.0116%1 Oct →
train13–110.057%30 Sept →

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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