(BINGOBONGO) Hitmart

(BINGOBONGO) Hitmart — CS2 Stats

GB76561197983878142[U:1:23612414]Steam profile ↗✓ No bans

519Tracked matches37%Win rate2020Tracked since
3,107Hours in CS22Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

+8Tracked matches · now 519
−3.0ppWin rate · 40.0% → 37.0%

Rating over time

15Days played since 2026-09-01

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches8——
Win rate38%——
K/D0.81——
Headshot %52%——

Measured 25 Oct 2026 → 2 Nov 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim67
Positioning57
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY41–51–8Last 10041%Win rateLWLLWLWLWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +1.4pp headshot accuracy · −55ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 533ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 580ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 607ms

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 (+1.8 against its own average).

Aim6.7
Utility3.2
Positioning5.7
Opening Duels2.7

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

jL

Plays most like jL 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 60% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 600ms 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

Aim6.7
Positioning5.7
Utility3.2
Mechanics7.1
Opening Duels4.7
Win Impact0.7

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time600ms−62ms
first ⅓ avg 662ms → last ⅓ avg 600ms
Headshot accuracy19.8%−3.3%
first ⅓ avg 23.1% → last ⅓ avg 19.8%

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

0.15Best match rating · 13–1 · overpass, 12 Sept →
50%Best headshot accuracy · 10–13 · inferno, 29 Oct →
484msFastest reaction time · 3–13 · mirage, 23 Oct →
13–1Biggest win · nuke, 3 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
4–9In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 63% over 8mirageWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageD144–1029%-0.05
cacheC146–843%-0.04
infernoD134–931%-0.02
dust2B136–746%-0.00
ancientC125–742%-0.02
anubisD124–833%-0.03
nukeA127–558%-0.01
overpassA85–363%-0.00
train—10–10%-0.01
vertigo—10–10%-0.11

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

230,311Lifetime kills
1.15K/D · Top 25% of tracked players
5,185Matches
44.2%Match win rate
59.2%Headshot % · Top 5% of tracked players
20.4%Shot accuracy · Top 5% of tracked players
12,604MVPs
2,394Hours (in match)
3,584Bombs planted
803Bombs defused

Most-used weapons

AK-4790,846
AWP48,662
Tec-95,199
P2502,801
MP72,186

Lifetime map wins

10,158dust2
4,021inferno
3,102cbble
2,639nuke
1,523train
900vertigo
138dust
120office

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

Faceit stats

Combat

165Matches
50%Win rate
1.24Avg K/D
—ADR
50%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLL

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.

19.9%Headshot accuracy
33.2%Accuracy (enemy spotted)
27.4%Spray accuracy
82.0%Counter-strafing
8.5°Preaim
600msReaction time
60.3%T opening success
37.2%CT opening success
0.31Enemies flashed / flash
4.6%Flash assists
10.83HE damage / grenade
2.98Flashes / 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 0.314 — 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 37.2208% — below the 40% mark we flag

Spend your practice time on Mirage

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

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0150%29 Oct →
ancient13–8-0.0213%29 Oct →
anubis3–13-0.1016%29 Oct →
mirage7–13-0.0920%27 Oct →
ancient13–40.0723%27 Oct →
mirage11–130.0130%27 Oct →
nuke13–100.0221%26 Oct →
ancient10–13-0.0715%26 Oct →
mirage13–7-0.0021%23 Oct →
cache13–2-0.0714%23 Oct →
mirage3–13-0.0433%23 Oct →
cache3–13-0.0611%23 Oct →
inferno6–13-0.0427%23 Oct →
overpass9–13-0.0620%23 Oct →
ancient9–13-0.0516%23 Oct →
dust213–6-0.0120%23 Oct →
anubis13–40.0317%23 Oct →
cache6–13-0.0424%23 Oct →
mirage10–13-0.0718%23 Oct →
nuke13–40.0822%23 Oct →
ancient12–12-0.078%21 Oct →
cache10–13-0.1015%21 Oct →
inferno13–11-0.0419%21 Oct →
dust28–13-0.0720%21 Oct →
dust212–120.0414%20 Oct →
cache12–12-0.0110%20 Oct →
overpass7–13-0.0217%20 Oct →
anubis11–13-0.0728%19 Oct →
mirage13–3-0.075%19 Oct →
train6–13-0.0126%19 Oct →
inferno10–13-0.0315%19 Oct →
cache13–110.0117%19 Oct →
nuke13–40.0324%19 Oct →
dust212–12-0.0418%17 Oct →
inferno6–13-0.0725%17 Oct →
overpass13–70.0515%17 Oct →
ancient12–120.0315%17 Oct →
mirage4–13-0.0119%17 Oct →
nuke13–20.0231%17 Oct →
cache13–8-0.0818%17 Oct →
anubis13–2-0.0030%17 Oct →
dust211–13-0.0210%17 Oct →
overpass13–2-0.0215%10 Oct →
mirage11–13-0.0323%10 Oct →
ancient7–130.0015%10 Oct →
nuke4–13-0.084%10 Oct →
anubis11–130.0119%10 Oct →
inferno13–30.0226%10 Oct →
dust213–20.0633%10 Oct →
cache11–13-0.0218%10 Oct →
anubis13–8-0.0710%3 Oct →
overpass3–13-0.0821%3 Oct →
ancient13–8-0.0221%3 Oct →
cache13–9-0.0025%3 Oct →
inferno13–100.0113%3 Oct →
mirage13–5-0.0318%3 Oct →
nuke13–10.0130%3 Oct →
dust28–130.0017%3 Oct →
anubis6–13-0.0519%3 Oct →
cache7–13-0.0811%25 Sept →
anubis5–130.0319%25 Sept →
overpass13–6-0.0717%25 Sept →
inferno5–13-0.0714%25 Sept →
nuke12–12-0.0513%25 Sept →
cache13–110.0318%25 Sept →
dust213–100.0219%25 Sept →
mirage4–13-0.1129%25 Sept →
ancient6–130.0034%25 Sept →
vertigo5–9-0.1123%23 Sept →
inferno8–80.0716%23 Sept →
nuke2–9-0.127%23 Sept →
anubis10–13-0.0924%12 Sept →
inferno7–13-0.0523%12 Sept →
mirage7–13-0.0643%12 Sept →
dust213–30.0728%12 Sept →
overpass13–10.1540%12 Sept →
cache2–13-0.0442%12 Sept →
nuke3–13-0.0129%12 Sept →
ancient13–11-0.0018%12 Sept →
inferno7–130.0422%12 Sept →
dust25–13-0.0613%12 Sept →
mirage11–13-0.1016%12 Sept →
anubis10–13-0.0519%12 Sept →
anubis13–70.0519%5 Sept →
cache13–40.0523%5 Sept →
mirage13–70.0121%5 Sept →
ancient13–4-0.0323%5 Sept →
inferno13–8-0.0726%5 Sept →
dust213–9-0.0128%5 Sept →
nuke13–50.0618%5 Sept →
nuke1–13-0.0517%1 Sept →
dust210–13-0.0427%1 Sept →
ancient12–12-0.0625%1 Sept →
anubis7–13-0.0818%1 Sept →
overpass13–4-0.0029%1 Sept →
dust213–60.0220%1 Sept →
cache3–13-0.0817%1 Sept →
mirage11–13-0.0316%1 Sept →
inferno11–130.0121%1 Sept →
nuke13–6-0.0219%1 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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