Reedale

Reedale — CS2 Stats

ES76561198062270339[U:1:102004611]Steam profile ↗✓ No bans

354Tracked matches48%Win rate2023Tracked since
CSDB Rating3.9 LearningClutch Specialist
Premier CS Rating13,691Blue band · top ~35.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 354 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. 26 days played since 12 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,691 +784 16 Jul4 Sept · 17 days played
11,73514,760peak 14,76016 Jul4 Sept
14,999Peak Premier in tracked matches
26Days played since 2026-06-12

Premier CS Rating

  • 1,069 below peak (14,760)
  • 0 over 30 days · steady
  • Next: Purple band at 15,000 1,309 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-04
  • Light Blue band first seen 2026-09-04

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.

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CSDB.GGReedalePREMIER13,691 · Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning43
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY49456Last 10049%Win rateLWWLLWWWTL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −10.0pp headshot accuracy · +46ms reaction

Win rate 0pp 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 611ms

Last 10

  • 541 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 627ms

Last 20

  • 1091 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 604ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+3.3 against its own average).

Aim4.8
Utility3.9
Positioning4.3
Opening Duels2.7
Clutch8.0

Limited utility dependenceReliable in 1v1s

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 86% 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. 615ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8
Positioning4.3
Utility3.9
Mechanics4.3
Opening Duels1.7
Win Impact4.4

Composite 3.9/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time617ms−58ms
first ⅓ avg 675ms → last ⅓ avg 617ms
Headshot accuracy21.7%−1.1%
first ⅓ avg 22.8% → last ⅓ avg 21.7%

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 · 15–15 · anubis, 30 Jul
100%Best headshot accuracy · 0–2 · cache, 29 Jul
469msFastest reaction time · 13–3 · anubis, 3 Aug
13–1Biggest win · dust2, 16 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
711In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 57% over 14mirageWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
infernoB25121348%-0.04
mirageD1551033%-0.01
cacheB158753%-0.01
ancientA148657%-0.01
anubisA148657%-0.01
dust2C135838%-0.01
nuke21150%-0.01
train220100%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3Matches
33%Win rate
0.74Avg K/D
57.7ADR
50%Headshot %

Clutches & streaks

60%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient250%0.6819.0
Mirage10%0.8416.0

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.

19.3%Headshot accuracy
29.8%Accuracy (enemy spotted)
31.6%Spray accuracy
69.3%Counter-strafing
10.2°Preaim
615msReaction time
34.0%T opening success
39.7%CT opening success
0.33Enemies flashed / flash
2.7%Flash assists
7.61HE damage / grenade
4.45Flashes / 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 0.3336 — below the 0.5 mark we flag

    Grenade Lineups
  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 33.9854% — 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 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno6–13-0.0230%3 Aug
ancient13–7-0.0215%3 Aug
anubis13–30.0129%3 Aug
dust26–13-0.0311%3 Aug
dust25–13-0.0419%31 Jul
mirage13–70.0513%31 Jul
cache13–10-0.0013%31 Jul
inferno13–5-0.057%30 Jul
anubis15–150.0822%30 Jul
cache10–13-0.0122%29 Jul
inferno10–13-0.0322%29 Jul
ancient13–10-0.0217%29 Jul
dust213–50.0313%29 Jul
anubis13–6-0.0314%29 Jul
inferno6–13-0.0813%29 Jul
dust213–70.0331%29 Jul
cache0–2-0.00100%29 Jul
anubis13–9-0.0423%28 Jul
mirage10–13-0.0131%27 Jul
inferno5–13-0.0818%27 Jul
mirage4–130.028%27 Jul
ancient6–13-0.0925%27 Jul
inferno14–16-0.0715%26 Jul
anubis13–30.0414%26 Jul
inferno7–13-0.0727%25 Jul
anubis13–2-0.0518%25 Jul
inferno13–3-0.0420%25 Jul
inferno13–7-0.0725%25 Jul
inferno1–13-0.0819%25 Jul
dust28–13-0.0417%24 Jul
ancient13–7-0.0327%24 Jul
inferno16–120.0117%24 Jul
dust213–110.0225%24 Jul
mirage10–130.0028%23 Jul
ancient9–130.0326%23 Jul
cache13–4-0.0226%23 Jul
inferno11–13-0.0519%21 Jul
mirage4–13-0.0219%21 Jul
inferno11–13-0.0645%20 Jul
inferno8–13-0.134%20 Jul
mirage2–13-0.130%20 Jul
ancient8–13-0.0425%19 Jul
dust213–6-0.0115%19 Jul
inferno8–13-0.0719%19 Jul
dust29–13-0.0618%19 Jul
anubis15–15-0.0823%19 Jul
cache16–13-0.0224%19 Jul
inferno15–150.0419%18 Jul
mirage11–13-0.0630%18 Jul
ancient7–130.015%18 Jul
inferno13–110.0235%18 Jul
nuke13–8-0.0223%18 Jul
mirage8–13-0.0114%18 Jul
anubis8–13-0.0232%18 Jul
inferno13–8-0.0426%18 Jul
mirage8–13-0.0523%18 Jul
anubis4–13-0.0933%18 Jul
ancient13–40.0729%18 Jul
inferno13–11-0.0132%17 Jul
mirage13–90.0232%17 Jul
cache13–110.0124%17 Jul
nuke11–13-0.0124%17 Jul
inferno13–2-0.0120%17 Jul
cache11–13-0.0124%17 Jul
ancient13–70.0029%17 Jul
mirage13–30.0213%16 Jul
dust211–13-0.0218%16 Jul
inferno13–10-0.0218%16 Jul
ancient13–11-0.0120%16 Jul
dust24–13-0.0517%16 Jul
anubis13–110.0317%16 Jul
dust213–1-0.0117%16 Jul
cache13–8-0.0017%16 Jul
inferno13–10-0.0218%15 Jul
dust215–15-0.0018%15 Jul
cache9–13-0.0924%14 Jul
anubis13–50.057%14 Jul
ancient6–13-0.0211%14 Jul
ancient13–5-0.048%13 Jul
anubis11–130.0117%13 Jul
cache13–5-0.0230%13 Jul
dust215–15-0.0219%13 Jul
inferno13–50.0032%12 Jul
mirage10–13-0.0718%12 Jul
inferno13–8-0.0729%12 Jul
cache5–13-0.0126%12 Jul
mirage4–9-0.0517%12 Jul
cache15–150.0227%12 Jul
inferno14–160.0019%11 Jul
ancient7–2-0.0044%11 Jul
anubis3–13-0.0437%11 Jul
cache13–11-0.0119%11 Jul
anubis13–9-0.0128%5 Jul
cache7–13-0.0216%4 Jul
cache4–0-0.0144%4 Jul
ancient11–130.0034%23 Jun
train13–9-0.0433%21 Jun
train13–40.0321%21 Jun
mirage13–90.0827%21 Jun
mirage13–40.0123%12 Jun

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 →