Hashi^  箸

Hashi^ 箸 — CS2 Stats

DK76561197960724855[U:1:459127]Steam profile ↗✓ No bans

3,074Tracked matches50%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
Ladder ranks via Leetify

Performance scores

Aim81
Positioning66
Utility78

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateWLLLLWWWLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +5.4pp headshot accuracy · −5ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 464ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 521ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 524ms

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 (+2.6 against its own average).

Aim8.1
Utility7.8
Positioning6.6
Opening Duels3.0
Clutch3.6

Effective flashesHigh utility contribution

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

iM

Plays most like iM 79% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: higher 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. 68% T opening-duel success — entries that actually open the round.

Utility. Utility score of 78 — grenade impact well above the norm.

Areas to improve

CT openings. Opening success drops from 68% on T to 35% on CT — first contacts on the defending side are being lost.

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

Aim8.1
Positioning6.6
Utility7.8
Mechanics5.1
Opening Duels5.4
Win Impact5.0

Composite 6.7/10 (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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time533ms+9ms
first ⅓ avg 524ms → last ⅓ avg 533ms
Headshot accuracy20.1%+0.8%
first ⅓ avg 19.2% → last ⅓ avg 20.1%

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

0.14Best match rating · 13–5 · dust2, 13 Oct →
45%Best headshot accuracy · 13–5 · nuke, 28 Oct →
359msFastest reaction time · 4–13 · ancient, 27 Oct →
12–2Biggest win · ancient, 19 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–10In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 64% over 22anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA2214–864%0.01
nukeA1911–858%0.01
dust2A169–756%0.02
ancientA148–657%0.00
anubisD103–730%0.04
mirageC94–544%0.01
vertigoC83–538%-0.00
overpass—20–20%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,805Matches
50%Win rate
1.09Avg K/D
80.5ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
25%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno36156%1.3017.6
Dust224047%1.1115.2
Nuke24052%1.1316.2
Ancient22544%1.0916.4
Mirage16948%1.0014.4
Anubis14750%1.2517.0
Train6746%1.1016.4
Overpass5538%1.1317.4

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.

18.8%Headshot accuracy
37.7%Accuracy (enemy spotted)
43.9%Spray accuracy
72.8%Counter-strafing
9.0°Preaim
525msReaction time
67.9%T opening success
35.1%CT opening success
0.73Enemies flashed / flash
8.4%Flash assists
15.00HE damage / grenade
14.12Flashes / 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

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

    CT opening duels 35.0794% — below the 40% mark we flag

Spend your practice time on Anubis

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–50.0245%28 Oct →
vertigo3–13-0.0018%28 Oct →
ancient3–130.0013%28 Oct →
mirage5–13-0.0617%28 Oct →
ancient4–130.0424%27 Oct →
nuke13–80.0933%27 Oct →
inferno13–90.0317%27 Oct →
dust213–11-0.0015%26 Oct →
vertigo2–7-0.0230%26 Oct →
ancient19–150.0823%26 Oct →
nuke13–60.0433%26 Oct →
nuke13–100.0718%26 Oct →
vertigo10–130.0920%26 Oct →
ancient25–22-0.0012%26 Oct →
ancient13–60.1011%25 Oct →
anubis6–13-0.0121%25 Oct →
ancient13–8-0.069%25 Oct →
overpass4–13-0.0326%25 Oct →
dust213–50.0717%25 Oct →
nuke13–10-0.0015%23 Oct →
anubis16–140.0921%23 Oct →
inferno19–22-0.0310%23 Oct →
mirage20–22-0.0410%23 Oct →
inferno14–160.0119%22 Oct →
overpass5–130.0517%22 Oct →
ancient8–13-0.0422%22 Oct →
anubis10–130.0423%22 Oct →
inferno13–60.0119%22 Oct →
vertigo13–70.0118%22 Oct →
inferno11–130.0119%21 Oct →
dust29–130.0819%21 Oct →
ancient13–110.0221%21 Oct →
dust213–50.0526%21 Oct →
inferno13–60.0519%21 Oct →
anubis13–16-0.019%21 Oct →
inferno13–50.0219%21 Oct →
mirage2–13-0.0416%20 Oct →
anubis13–70.0721%20 Oct →
vertigo13–100.0012%20 Oct →
nuke10–13-0.0317%20 Oct →
nuke8–13-0.0220%19 Oct →
ancient9–13-0.049%19 Oct →
inferno13–9-0.0119%19 Oct →
ancient12–20.0628%19 Oct →
anubis11–130.0912%19 Oct →
dust213–10-0.029%19 Oct →
dust29–13-0.0015%19 Oct →
nuke13–110.0015%19 Oct →
dust28–13-0.0020%19 Oct →
mirage13–50.1015%18 Oct →
ancient2–13-0.0510%18 Oct →
vertigo2–13-0.079%18 Oct →
anubis13–50.0432%18 Oct →
inferno13–110.0521%18 Oct →
nuke13–110.1024%18 Oct →
inferno13–60.0320%18 Oct →
dust213–110.0114%17 Oct →
nuke9–130.0131%17 Oct →
inferno5–130.0314%17 Oct →
nuke13–100.0314%17 Oct →
anubis5–13-0.0213%17 Oct →
vertigo13–80.0421%17 Oct →
mirage13–11-0.0215%17 Oct →
anubis8–130.0429%17 Oct →
ancient11–13-0.0114%16 Oct →
inferno13–40.0722%16 Oct →
nuke6–13-0.0014%16 Oct →
nuke6–13-0.0120%16 Oct →
dust27–13-0.0221%16 Oct →
dust213–16-0.069%16 Oct →
inferno13–4-0.0415%16 Oct →
inferno19–160.0429%15 Oct →
mirage13–50.0412%15 Oct →
ancient16–130.0211%15 Oct →
inferno13–60.0214%15 Oct →
dust28–130.0219%15 Oct →
inferno19–15-0.0515%15 Oct →
mirage9–13-0.0217%15 Oct →
inferno17–190.0723%15 Oct →
nuke5–13-0.0220%14 Oct →
dust24–13-0.1022%14 Oct →
vertigo3–13-0.0715%14 Oct →
inferno14–160.0827%14 Oct →
anubis4–130.0518%14 Oct →
nuke13–9-0.0614%14 Oct →
mirage13–80.0415%14 Oct →
dust213–80.0843%14 Oct →
inferno11–13-0.0526%14 Oct →
inferno13–9-0.0517%14 Oct →
dust213–4-0.0221%14 Oct →
nuke13–110.0620%13 Oct →
inferno11–130.0416%13 Oct →
ancient13–9-0.0513%13 Oct →
mirage10–130.0416%13 Oct →
nuke5–13-0.0312%13 Oct →
inferno13–50.0118%13 Oct →
dust213–50.1433%13 Oct →
nuke13–50.0311%13 Oct →
nuke14–16-0.0518%12 Oct →
dust213–50.0933%12 Oct →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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