bhoping on his dih

bhoping on his dih — CS2 Stats

AM76561199466919411[U:1:1506653683]Steam profile ↗✓ No bans

771Tracked matches46%Win rate2024Tracked since
1,202Hours in CS10Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim59
Positioning63
Utility39

0–100 skill scores via Leetify.

Recent form

COLD45–46–9Last 10045%Win rateWTWLLLLLWL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −2.1pp headshot accuracy · −82ms reaction

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

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 609ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 554ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 595ms

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 (+1.7 against its own average).

Aim5.9
Utility3.9
Positioning6.3
Opening Duels3.7

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 86% 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. 618ms 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

Aim5.9
Positioning6.3
Utility3.9
Mechanics5.8
Opening Duels6.0
Win Impact3.7

Composite 5.5/10 (Solid), 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 rating0.03−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time604ms−9ms
first ⅓ avg 614ms → last ⅓ avg 604ms
Headshot accuracy19.6%+2.0%
first ⅓ avg 17.6% → last ⅓ avg 19.6%

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

0.16Best match rating · 13–8 · dust2, 19 Aug →
100%Best headshot accuracy · 13–0 · nuke, 13 Sept →
344msFastest reaction time · 1–13 · office, 14 Sept →
13–0Biggest win · nuke, 13 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–1In matches decided by ≤2 rounds
2Overtime games

Map breakdown

vertigoBest map · 67% over 9officeWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA2112–957%0.04
dust2B168–850%0.05
mirageD122–1017%0.03
infernoA95–456%0.02
officeD91–811%0.01
vertigoS96–367%0.05
ancientA53–260%0.04
cacheA53–260%0.06
trainC52–340%0.05
anubis—42–250%0.01
italy—30–30%-0.03
shelter—10–10%0.03
overpass—11–0100%0.13

Across the last 100 tracked matches.

Lifetime stats

28,289Lifetime kills
1.04K/D · Top 50% of tracked players
2,033Matches
46.2%Match win rate · Top 50% of tracked players
40.1%Headshot %
0.0%Shot accuracy
5,120MVPs
623Hours (in match)
1,889Bombs planted
428Bombs defused

Most-used weapons

Lifetime map wins

3,304dust2
2,629nuke
2,602inferno
1,584vertigo
795train
627office
149italy
21lake

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

Skill profile

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

20.5%Headshot accuracy
32.9%Accuracy (enemy spotted)
35.4%Spray accuracy
76.2%Counter-strafing
11.4°Preaim
618msReaction time
55.5%T opening success
52.2%CT opening success
0.40Enemies flashed / flash
4.3%Flash assists
9.52HE damage / grenade
8.85Flashes / 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 0.4036 — below the 0.5 mark we flag

    Grenade Lineups →
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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10.0620%9 Oct →
inferno12–120.0521%5 Oct →
dust213–110.0123%5 Oct →
anubis1–13-0.0623%1 Oct →
inferno4–13-0.0625%1 Oct →
mirage11–130.0517%1 Oct →
dust23–10-0.0011%29 Sept →
anubis5–10.000%29 Sept →
nuke13–11-0.029%29 Sept →
nuke5–130.0615%28 Sept →
office1–13-0.0517%28 Sept →
ancient12–120.0716%27 Sept →
mirage12–120.0415%27 Sept →
cache13–90.0022%27 Sept →
vertigo9–30.1514%27 Sept →
inferno2–4-0.1717%27 Sept →
mirage13–40.0515%26 Sept →
shelter6–130.0327%26 Sept →
train13–30.0532%26 Sept →
italy9–13-0.0910%26 Sept →
cache13–10.0435%26 Sept →
italy7–100.0617%22 Sept →
dust213–8-0.0313%22 Sept →
cache8–130.1029%22 Sept →
mirage6–130.0129%21 Sept →
dust213–70.0119%21 Sept →
inferno2–130.0425%20 Sept →
vertigo12–120.0534%20 Sept →
dust25–130.0421%20 Sept →
vertigo9–30.0311%17 Sept →
nuke13–80.0616%17 Sept →
cache13–40.1337%17 Sept →
nuke13–50.1310%17 Sept →
nuke4–130.0218%17 Sept →
office4–130.035%14 Sept →
office1–13-0.0429%14 Sept →
vertigo6–10.080%13 Sept →
dust22–70.0322%13 Sept →
mirage0–8-0.0031%13 Sept →
nuke5–10.000%13 Sept →
nuke13–00.02100%13 Sept →
dust213–70.1214%13 Sept →
nuke13–40.0516%13 Sept →
italy1–4-0.0613%13 Sept →
inferno16–12-0.0413%12 Sept →
train4–130.0927%12 Sept →
nuke13–00.000%12 Sept →
dust24–130.1114%12 Sept →
nuke6–130.0625%9 Sept →
ancient13–00.000%9 Sept →
vertigo13–00.000%9 Sept →
cache9–130.0220%9 Sept →
anubis16–140.0815%8 Sept →
inferno13–90.0234%8 Sept →
vertigo13–00.05100%6 Sept →
ancient12–120.0710%6 Sept →
nuke13–110.1114%5 Sept →
office13–50.1513%5 Sept →
office5–13-0.0012%4 Sept →
dust26–130.0615%4 Sept →
nuke13–00.00100%4 Sept →
anubis13–00.000%4 Sept →
vertigo13–00.000%4 Sept →
inferno13–60.1019%4 Sept →
dust210–130.129%3 Sept →
office9–130.0613%3 Sept →
nuke9–130.1220%2 Sept →
mirage13–80.1525%2 Sept →
office2–13-0.050%31 Aug →
mirage5–13-0.0623%31 Aug →
inferno7–120.0819%31 Aug →
vertigo13–10.0238%31 Aug →
nuke6–130.0131%29 Aug →
nuke3–130.0124%29 Aug →
ancient13–50.018%29 Aug →
nuke13–00.000%29 Aug →
dust210–130.0311%25 Aug →
overpass8–00.136%25 Aug →
train12–120.0911%25 Aug →
dust213–5-0.0613%24 Aug →
office8–130.0214%24 Aug →
mirage10–130.0113%24 Aug →
ancient13–110.048%22 Aug →
nuke12–120.0514%22 Aug →
mirage12–120.0215%22 Aug →
mirage7–13-0.0414%22 Aug →
nuke13–90.0518%22 Aug →
nuke13–00.0733%21 Aug →
dust23–13-0.0011%21 Aug →
dust213–110.0923%21 Aug →
nuke12–12-0.0521%20 Aug →
nuke13–11-0.0121%20 Aug →
mirage4–130.0316%19 Aug →
dust213–80.1620%19 Aug →
inferno9–10.1414%18 Aug →
train13–100.0513%18 Aug →
office5–13-0.0541%17 Aug →
mirage3–80.1221%17 Aug →
train1–13-0.0319%17 Aug →
vertigo7–130.1125%17 Aug →

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 →

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