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Redmonkey

Redmonkey — CS2 Stats

76561198348138542[U:1:387872814]Steam profile ↗✓ No bans

2,167Tracked matches56%Win rate2022Tracked since
CSDB Rating4.7 DevelopingSupport
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
CSDB Leaderboard#184936 of 259090 tracked
FaceitLevel 2 · 614 ELOTop 97.9% of ranked FACEIT players
WingmanSilver III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−728Premier CS Rating · 10,728 → 10,000

Rating over time

Premier CS Rating: 10,000 -1,004 31 Aug – 31 Oct · 10 days played
9,61111,004peak 11,00431 Aug31 Oct
11,306Peak Premier in tracked matches
746Highest Faceit ELO seen on CSDB
31Days played since 2026-05-20

Faceit ELO

  • 132 below peak (746)
  • Next: Level 3 at 751 — 137 to go
  • Reached: Level 2
  • Level 2 first seen 2026-08-31

Premier CS Rating

  • 1,004 below peak (11,004)
  • Next: Purple band at 15,000 — 5,000 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGRedmonkeyFACEITLevel 2 · 614 ELOSTANDINGTop 97.9% of rankedPREMIER10,000 · Blue bandPEAK ELO746csdb.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

Aim52
Positioning41
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY53–38–9Last 10053%Win rateLLLWLWWLWW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +3.0pp headshot accuracy · +29ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 636ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 626ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 611ms

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 (+2.4 against its own average).

Aim5.2
Utility5.9
Positioning4.1
Opening Duels0.8
Clutch3.4

Strong T-side opener

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

ZywOo

Plays most like ZywOo 73% 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

CT openings. Opening success drops from 50% on T to 21% on CT — first contacts on the defending side are being lost.

Reaction time. 613ms 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

Aim5.2
Positioning4.1
Utility5.9
Mechanics5.2
Opening Duels2.5
Win Impact6.9

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time607ms−5ms
first ⅓ avg 612ms → last ⅓ avg 607ms
Headshot accuracy11.5%+1.0%
first ⅓ avg 10.4% → last ⅓ avg 11.5%

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

0.08Best match rating · 13–8 · mirage, 25 Sept →
23%Best headshot accuracy · 4–13 · dust2, 31 Oct →
430msFastest reaction time · 6–2 · vertigo, 29 Oct →
13–1Biggest win · cache, 20 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
1–8In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 75% over 8mirageWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A1911–858%-0.01
mirageC166–1038%-0.01
ancientC156–940%-0.02
infernoA106–460%-0.03
nukeB105–550%-0.01
anubisC94–544%-0.03
cacheA95–456%-0.01
vertigoS86–275%-0.01
train—33–0100%0.02
office—11–0100%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

153Matches
47%Win rate
0.81Avg K/D
59.2ADR
29%Headshot %

Clutches & streaks

37%1v1 clutch win
13%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient3050%0.738.7
Dust22941%0.8110.7
Nuke2572%0.9913.7
Mirage2330%0.859.3
Overpass1656%0.6811.3
Train1155%0.9213.4
Anubis1030%0.7210.8
Inferno922%0.6910.0

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.

11.9%Headshot accuracy
32.2%Accuracy (enemy spotted)
31.7%Spray accuracy
73.3%Counter-strafing
7.9°Preaim
613msReaction time
49.8%T opening success
20.9%CT opening success
0.51Enemies flashed / flash
5.4%Flash assists
7.91HE damage / grenade
9.49Flashes / 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 11.9396% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 20.8893% — 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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.0023%31 Oct →
anubis11–130.0117%31 Oct →
mirage5–13-0.0222%31 Oct →
dust213–9-0.0716%30 Oct →
vertigo2–13-0.095%30 Oct →
office13–5-0.029%29 Oct →
train13–8-0.029%29 Oct →
cache11–13-0.019%29 Oct →
anubis13–3-0.1014%29 Oct →
vertigo6–20.0311%29 Oct →
cache13–80.0112%29 Oct →
anubis6–13-0.067%29 Oct →
ancient9–13-0.106%28 Oct →
anubis12–12-0.064%28 Oct →
ancient8–13-0.0517%28 Oct →
dust213–70.026%28 Oct →
inferno12–12-0.0710%28 Oct →
mirage8–130.0514%27 Oct →
anubis13–90.0611%27 Oct →
dust213–100.0316%26 Oct →
dust212–12-0.0622%26 Oct →
inferno1–13-0.1011%26 Oct →
anubis13–8-0.0316%26 Oct →
dust213–10-0.0018%25 Oct →
anubis8–13-0.1110%25 Oct →
ancient13–9-0.0610%25 Oct →
nuke7–130.004%25 Oct →
cache11–3-0.008%25 Oct →
dust213–70.058%25 Oct →
cache13–6-0.0111%24 Oct →
vertigo13–90.0115%24 Oct →
inferno13–10-0.057%24 Oct →
nuke4–13-0.053%24 Oct →
ancient13–70.0316%24 Oct →
cache9–130.0215%24 Oct →
mirage13–9-0.043%23 Oct →
ancient13–10-0.048%23 Oct →
nuke13–60.028%23 Oct →
dust210–13-0.0114%23 Oct →
dust213–6-0.0516%23 Oct →
vertigo13–10-0.0110%21 Oct →
dust213–70.0113%21 Oct →
nuke13–50.039%21 Oct →
mirage13–9-0.0111%21 Oct →
mirage9–13-0.040%20 Oct →
cache13–1-0.024%20 Oct →
nuke8–13-0.078%19 Oct →
dust27–130.025%18 Oct →
dust27–13-0.0322%17 Oct →
inferno8–13-0.037%17 Oct →
ancient7–13-0.0419%17 Oct →
vertigo12–12-0.046%16 Oct →
nuke6–13-0.0921%16 Oct →
vertigo13–40.0611%16 Oct →
ancient11–130.0117%15 Oct →
inferno13–10-0.1014%9 Oct →
train13–40.0211%9 Oct →
dust213–5-0.037%9 Oct →
mirage6–13-0.0414%9 Oct →
dust213–7-0.046%9 Oct →
inferno13–6-0.0416%5 Oct →
ancient4–13-0.059%5 Oct →
mirage12–12-0.038%2 Oct →
inferno11–130.0012%2 Oct →
train13–40.0711%2 Oct →
ancient13–9-0.014%2 Oct →
anubis13–20.032%26 Sept →
mirage12–120.0412%25 Sept →
nuke13–50.0515%25 Sept →
mirage13–80.086%25 Sept →
inferno9–10.056%22 Sept →
ancient13–50.0111%22 Sept →
dust24–13-0.0213%21 Sept →
ancient12–12-0.0417%20 Sept →
anubis12–12-0.026%20 Sept →
vertigo13–7-0.009%20 Sept →
mirage11–13-0.0113%20 Sept →
ancient12–120.0011%20 Sept →
cache8–13-0.084%19 Sept →
ancient7–13-0.035%19 Sept →
ancient13–60.0111%19 Sept →
mirage13–10.0714%19 Sept →
inferno13–80.028%19 Sept →
dust213–11-0.0217%19 Sept →
ancient11–13-0.039%19 Sept →
mirage5–13-0.0616%18 Sept →
dust213–20.0217%18 Sept →
nuke11–13-0.0313%18 Sept →
dust211–13-0.009%18 Sept →
inferno13–5-0.013%18 Sept →
cache2–13-0.025%17 Sept →
vertigo13–7-0.0311%16 Sept →
dust21–100.0111%16 Sept →
mirage8–13-0.047%16 Sept →
mirage10–13-0.0215%15 Sept →
cache13–40.049%15 Sept →
nuke13–7-0.0113%14 Sept →
mirage13–80.0215%14 Sept →
mirage13–10-0.057%14 Sept →
nuke13–90.009%13 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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