Hideo Kojima Fan

Hideo Kojima Fan — CS2 Stats

76561198264222201[U:1:303956473]Steam profile ↗✓ No bans

213Tracked matches52%Win rate2023Tracked since
CSDB Rating4.9 DevelopingSupport
CSDB Leaderboard#69086 of 221169 tracked
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 41 days played since 13 Sep 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,281 +1,656 28 Mar6 Jul · 29 days played
17,35120,726peak 20,72628 Mar6 Jul
21,082Peak Premier in tracked matches
41Days played since 2025-09-13

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

Performance scores

Aim45
Positioning57
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY53434Last 10053%Win rateWLWLLWWWLW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −4.3pp headshot accuracy · +5ms reaction

Win rate up 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 627ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 603ms

Last 20

  • 9101 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 601ms

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: SupportUtility contribution stands above the rest of this profile (+0.9 against its own average).

Aim4.5
Utility6.2
Positioning5.7
Opening Duels3.9

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 68% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 597ms 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

Aim4.5
Positioning5.7
Utility6.2
Mechanics4.5
Opening Duels2.9
Win Impact5.6

Composite 4.9/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time599ms−2ms
first ⅓ avg 601ms → last ⅓ avg 599ms
Headshot accuracy12.4%−2.1%
first ⅓ avg 14.5% → last ⅓ avg 12.4%

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 · 13–4 · inferno, 26 Apr
30%Best headshot accuracy · 11–13 · anubis, 20 Apr
438msFastest reaction time · 6–13 · inferno, 22 May
13–1Biggest win · mirage, 8 May

Across the last 100 tracked matches.

Highlights

6Longest win streak
310In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 60% over 15mirageWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A37211657%-0.00
infernoA2213959%0.01
ancientA159660%0.00
anubisB115645%-0.01
mirageD93633%-0.01
nukeD62433%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Mirage 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.

12.5%Headshot accuracy
32.4%Accuracy (enemy spotted)
35.7%Spray accuracy
70.2%Counter-strafing
11.0°Preaim
597msReaction time
37.5%T opening success
46.0%CT opening success
0.62Enemies flashed / flash
7.2%Flash assists
7.18HE damage / grenade
14.99Flashes / 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 12.4567% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.5281% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0116%31 Jul
ancient11–13-0.0014%31 Jul
dust213–10-0.0116%26 Jul
dust25–13-0.0211%26 Jul
mirage3–13-0.0110%26 Jul
inferno13–10-0.0011%24 Jul
dust213–30.0212%24 Jul
ancient13–70.059%24 Jul
dust211–13-0.0210%24 Jul
dust213–4-0.057%22 Jul
dust212–16-0.0020%22 Jul
inferno13–80.0714%19 Jul
dust26–13-0.0315%19 Jul
ancient10–130.1013%19 Jul
ancient15–15-0.0512%6 Jul
dust213–80.0316%6 Jul
anubis16–13-0.0414%5 Jul
dust24–110.0729%5 Jul
inferno10–13-0.0213%5 Jul
dust213–160.0113%25 Jun
dust216–13-0.008%25 Jun
anubis13–20.0513%24 Jun
mirage3–13-0.0714%24 Jun
inferno13–9-0.066%24 Jun
dust213–8-0.009%24 Jun
ancient13–11-0.034%21 Jun
anubis8–13-0.0215%20 Jun
dust213–16-0.0617%20 Jun
nuke15–15-0.008%20 Jun
anubis15–15-0.009%20 Jun
ancient13–7-0.059%19 Jun
dust213–9-0.0513%19 Jun
inferno10–13-0.018%12 Jun
dust214–160.0014%12 Jun
nuke2–2-0.040%12 Jun
ancient13–4-0.018%7 Jun
dust26–13-0.0612%7 Jun
ancient13–6-0.079%6 Jun
dust216–120.0113%5 Jun
inferno13–60.0216%5 Jun
anubis4–13-0.1115%5 Jun
inferno11–130.0311%5 Jun
dust213–60.0212%1 Jun
dust213–8-0.048%31 May
inferno13–7-0.0314%31 May
dust213–70.0817%31 May
ancient13–20.033%30 May
dust216–14-0.0120%30 May
ancient15–150.0118%29 May
inferno13–40.0617%29 May
anubis13–90.0212%26 May
dust29–13-0.0416%26 May
mirage14–16-0.0412%25 May
dust213–10-0.033%22 May
inferno6–13-0.0126%22 May
mirage13–60.0917%20 May
inferno5–13-0.049%20 May
ancient13–90.0315%16 May
dust213–70.1113%16 May
nuke7–130.0312%16 May
dust213–90.039%12 May
anubis3–13-0.0319%12 May
mirage13–10.0221%8 May
dust211–130.0816%8 May
dust27–13-0.0116%8 May
inferno13–80.0310%2 May
nuke10–13-0.0414%30 Apr
mirage13–50.0320%30 Apr
nuke7–13-0.016%26 Apr
inferno13–40.1615%26 Apr
dust213–10-0.0011%26 Apr
dust213–90.0421%25 Apr
inferno13–100.0613%25 Apr
inferno11–13-0.0720%23 Apr
dust211–13-0.028%23 Apr
ancient13–50.0813%20 Apr
anubis11–13-0.0230%20 Apr
nuke13–10.0111%20 Apr
dust29–13-0.0614%20 Apr
dust29–13-0.049%12 Apr
inferno8–13-0.0125%12 Apr
inferno12–10.0913%28 Mar
anubis11–13-0.0512%28 Mar
inferno13–30.0218%28 Mar
ancient9–13-0.0120%28 Mar
dust213–2-0.0815%22 Mar
mirage7–13-0.0715%22 Mar
mirage5–13-0.0816%22 Mar
anubis13–90.038%22 Mar
dust28–130.0727%22 Mar
anubis13–50.0314%22 Mar
dust213–100.0111%19 Mar
inferno9–130.0111%19 Mar
inferno13–60.0014%12 Mar
dust213–9-0.0221%12 Mar
inferno3–13-0.0214%25 Jan
ancient13–40.019%25 Jan
mirage8–130.039%16 Jan
ancient6–13-0.0410%16 Jan
inferno13–100.028%13 Sept

Match data via Leetify.

Recent teammates

Milestones

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