Midnight Rat Rider

Midnight Rat Rider — CS2 Stats

FI76561198412889279[U:1:452623551]Steam profile ↗✓ No bans

1,584Tracked matches43%Win rate2020Tracked since
CSDB Rating6.0 SolidOpening Duellist
Premier CS Rating24,888Top 25% of 185,711 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)
CSDB Leaderboard#22127 of 231447 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,584 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 22 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 24,888 +807 22 Jun2 Sept · 33 days played
22,53525,008peak 25,00822 Jun2 Sept
25,111Peak Premier in tracked matches
2,100Highest Faceit ELO seen on CSDB
39Days played since 2026-06-22

Faceit ELO

  • At peak — 2,100
  • Next: 2,500 ELO at 2,500 400 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-02
  • Level 9 first seen 2026-09-02

Premier CS Rating

  • 120 below peak (25,008)
  • +13 over 30 days · steady
  • Next: Red band at 25,000 112 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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.

Share this profile

CSDB.GGMidnight Rat RiderPREMIER24,888 · Pink bandPEAK ELO2,100csdb.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

Aim78
Positioning58
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateLWWWWLLWLW

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · +0.6pp headshot accuracy · +52ms reaction

Win rate up 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 (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 577ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 609ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 583ms

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: Opening DuellistWinning opening duels is what stands out in this profile (+1.2 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim7.8
Utility3.7
Positioning5.8
Opening Duels5.9
Clutch3.6

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

s1mple

Plays most like s1mple 95% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

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

Reaction time. 568ms 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

Aim7.8
Positioning5.8
Utility3.7
Mechanics6.8
Opening Duels5.1
Win Impact2.8

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time571ms−54ms
first ⅓ avg 625ms → last ⅓ avg 571ms
Headshot accuracy15.2%−0.9%
first ⅓ avg 16.1% → last ⅓ avg 15.2%

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 · 13–5 · anubis, 10 Aug
50%Best headshot accuracy · 2–6 · inferno, 17 Aug
383msFastest reaction time · 7–13 · inferno, 16 Aug
13–0Biggest win · mirage, 27 Jun

Across the last 100 tracked matches.

Highlights

5Longest win streak
46In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 78% over 9infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB26121446%0.01
nukeB179853%-0.00
ancientC156940%-0.00
dust2A116555%-0.04
anubisB115645%0.03
cacheS97278%0.04
infernoD72529%-0.02
overpass21150%0.03
vertigo110100%0.05
eldorado1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

852Matches
51%Win rate
1.05Avg K/D
81.4ADR
45%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage25654%1.0015.5
Inferno12251%1.0816.1
Anubis11054%1.1416.3
Ancient9734%1.0516.3
Nuke9453%1.0115.3
Dust29047%0.9614.2
Vertigo4459%1.2116.3
Overpass2050%1.1415.2

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.

13.5%Headshot accuracy
37.8%Accuracy (enemy spotted)
42.3%Spray accuracy
80.6%Counter-strafing
8.4°Preaim
568msReaction time
43.3%T opening success
57.1%CT opening success
0.51Enemies flashed / flash
0.7%Flash assists
8.82HE damage / grenade
3.06Flashes / 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 13.4539% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0585 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–130.0115%20 Aug
vertigo13–80.0513%20 Aug
ancient13–70.026%19 Aug
mirage13–40.024%19 Aug
nuke13–11-0.0411%18 Aug
mirage6–130.0213%17 Aug
ancient10–13-0.039%17 Aug
dust213–2-0.0219%17 Aug
inferno2–6-0.0650%17 Aug
nuke13–10-0.048%16 Aug
dust23–13-0.0617%16 Aug
inferno7–13-0.0215%16 Aug
mirage13–160.046%16 Aug
mirage13–40.0517%16 Aug
cache10–130.0318%16 Aug
mirage9–00.0520%15 Aug
anubis10–130.045%15 Aug
cache13–90.0114%13 Aug
anubis13–50.1515%10 Aug
mirage6–13-0.0414%10 Aug
anubis9–13-0.0117%8 Aug
nuke13–60.1211%5 Aug
ancient7–130.027%5 Aug
eldorado4–9-0.0524%5 Aug
inferno6–130.0224%4 Aug
anubis5–13-0.0514%3 Aug
dust213–3-0.0826%3 Aug
mirage6–130.0211%3 Aug
ancient11–130.0311%3 Aug
anubis1–13-0.0617%28 Jul
cache13–80.1116%28 Jul
nuke13–80.0424%28 Jul
cache13–50.0211%27 Jul
mirage15–15-0.018%27 Jul
anubis10–130.0220%20 Jul
mirage6–130.045%19 Jul
nuke13–40.014%18 Jul
ancient13–8-0.0411%18 Jul
mirage13–80.0122%17 Jul
mirage13–5-0.0515%17 Jul
mirage14–160.0027%15 Jul
anubis11–130.0518%14 Jul
mirage10–13-0.0216%14 Jul
cache13–70.0416%14 Jul
cache13–50.0512%14 Jul
nuke9–13-0.0125%14 Jul
anubis13–9-0.0112%13 Jul
inferno11–13-0.069%13 Jul
ancient7–13-0.0111%13 Jul
dust26–13-0.076%13 Jul
cache8–13-0.0111%13 Jul
mirage13–40.0320%13 Jul
nuke7–130.0516%13 Jul
nuke9–13-0.0415%13 Jul
ancient13–50.126%13 Jul
anubis13–5-0.0010%12 Jul
inferno13–5-0.024%11 Jul
ancient3–13-0.0812%11 Jul
inferno13–60.0413%11 Jul
cache13–10.0018%11 Jul
mirage10–130.0113%11 Jul
mirage13–5-0.029%10 Jul
dust215–15-0.0116%10 Jul
dust213–3-0.0321%9 Jul
nuke13–9-0.0218%6 Jul
nuke13–7-0.036%6 Jul
dust213–110.0116%6 Jul
nuke7–13-0.0510%5 Jul
mirage13–110.0716%5 Jul
nuke13–10.0731%5 Jul
ancient0–70.0116%5 Jul
overpass13–80.0813%5 Jul
ancient11–13-0.0311%4 Jul
mirage7–130.0013%4 Jul
ancient13–4-0.067%3 Jul
anubis13–100.048%3 Jul
overpass9–13-0.0112%3 Jul
nuke15–150.0815%2 Jul
dust213–6-0.0515%2 Jul
ancient13–60.0716%1 Jul
mirage3–13-0.0712%1 Jul
mirage13–90.0320%1 Jul
ancient13–40.0313%1 Jul
cache13–100.0722%30 Jun
nuke13–5-0.0123%29 Jun
mirage13–40.0914%29 Jun
dust21–13-0.0810%29 Jun
nuke13–16-0.0515%28 Jun
mirage13–00.0817%27 Jun
nuke11–13-0.1110%27 Jun
ancient3–13-0.0218%27 Jun
mirage16–14-0.0118%27 Jun
inferno15–15-0.0215%26 Jun
dust213–10-0.0121%26 Jun
mirage2–13-0.0115%25 Jun
dust25–13-0.0118%24 Jun
nuke6–13-0.0331%24 Jun
mirage6–13-0.0125%22 Jun
ancient8–13-0.0814%22 Jun
anubis13–70.1418%22 Jun

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 →