Raccoon

Raccoon — CS2 Stats

76561197980008241[U:1:19742513]Steam profile ↗✓ No bans

816Tracked matches66%Win rate2020Tracked since
CSDB Rating6.4 SolidSupport
Premier CS Rating19,695Top 50% of 211,308 CSDB-tracked playersPurple band · top ~9.7% of ranked players (population est.)
CSDB Leaderboard#89620 of 258198 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,695 -3,681 19 Dec – 27 Oct · 19 days played
17,67725,899peak 25,89919 Dec27 Oct
26,272Peak Premier in tracked matches
31Days played since 2025-12-19

Premier CS Rating

  • 6,204 below peak (25,899)
  • Next: Pink band at 20,000 — 305 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

Share this profile

CSDB.GGRaccoonFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,695 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning54
Utility69

0–100 skill scores via Leetify.

Recent form

HOT47–51–2Last 10047%Win rateLWWLWWWWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −1.5pp headshot accuracy · −59ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 461ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 520ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 549ms

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 (+1.3 against its own average).

Aim6.2
Utility6.9
Positioning5.4
Opening Duels4.5

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

Twistzz

Plays most like Twistzz 76% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

CT openings. Opening success drops from 59% on T to 43% 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

Aim6.2
Positioning5.4
Utility6.9
Mechanics6.2
Opening Duels5.3
Win Impact10.0

Composite 6.4/10 (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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time554ms−7ms
first ⅓ avg 561ms → last ⅓ avg 554ms
Headshot accuracy14.4%−3.1%
first ⅓ avg 17.5% → last ⅓ avg 14.4%

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

0.18Best match rating · 13–0 · nuke, 17 Oct →
33%Best headshot accuracy · 13–8 · inferno, 29 Dec →
375msFastest reaction time · 0–13 · inferno, 19 Dec →
13–0Biggest win · nuke, 17 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
7–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

overpassBest map · 63% over 8dust2Weakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB2412–1250%0.01
nukeB158–753%0.03
dust2C145–936%0.00
ancientC146–843%0.03
mirageC135–838%0.00
overpassA85–363%0.00
cache—42–250%0.02
anubis—22–0100%-0.01
train—21–150%-0.02
vertigo—21–150%0.06
debris—10–10%0.06
cache_b—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

351Matches
51%Win rate
1.07Avg K/D
—ADR
32%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1331%0.8313.2
Inferno1267%1.2415.5
Ancient862%0.8814.3
Vertigo838%0.9818.4
Anubis743%1.0315.1
Nuke2100%1.2417.0
Overpass1100%0.909.0

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.

14.2%Headshot accuracy
35.7%Accuracy (enemy spotted)
40.2%Spray accuracy
78.0%Counter-strafing
13.0°Preaim
541msReaction time
58.9%T opening success
43.3%CT opening success
0.63Enemies flashed / flash
10.9%Flash assists
9.98HE damage / grenade
11.68Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.9993° — above the 12° mark we flag

    Aim Training →
  2. 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 14.1937% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.062%27 Oct →
anubis13–90.0217%26 Oct →
inferno13–4-0.017%26 Oct →
cache10–13-0.0114%25 Oct →
nuke13–100.0222%25 Oct →
inferno16–140.0112%25 Oct →
anubis13–11-0.048%24 Oct →
inferno13–110.0913%23 Oct →
mirage13–60.1117%23 Oct →
dust22–13-0.0414%23 Oct →
mirage4–13-0.108%23 Oct →
dust213–80.0215%20 Oct →
nuke4–130.0113%18 Oct →
mirage4–130.0111%18 Oct →
inferno13–5-0.0411%18 Oct →
nuke13–100.0523%18 Oct →
cache15–15-0.0110%18 Oct →
dust25–13-0.0317%18 Oct →
cache13–80.0517%17 Oct →
ancient13–30.0318%17 Oct →
nuke13–00.1826%17 Oct →
dust28–13-0.0313%17 Oct →
inferno13–60.0617%17 Oct →
mirage13–10-0.0114%12 Oct →
ancient9–13-0.0113%12 Oct →
inferno7–90.1117%10 Oct →
debris8–80.069%10 Oct →
ancient14–16-0.0110%28 Sept →
dust213–10.0014%15 Aug →
inferno13–50.0623%15 Aug →
dust213–40.0825%3 Aug →
inferno13–80.0713%3 Aug →
dust26–130.0013%2 Aug →
cache13–80.069%25 Jul →
mirage4–13-0.103%19 Jul →
inferno7–130.0423%21 Jun →
nuke13–110.0312%18 Jun →
ancient4–13-0.017%18 Jun →
ancient6–130.0214%13 Jun →
inferno13–60.0212%13 Jun →
nuke4–130.0814%13 Jun →
inferno8–13-0.0113%12 Jun →
mirage9–130.0316%11 Jan →
ancient13–40.1627%11 Jan →
nuke7–13-0.0511%11 Jan →
inferno9–13-0.0115%11 Jan →
ancient13–90.0116%11 Jan →
overpass13–6-0.0117%11 Jan →
overpass5–130.0317%9 Jan →
inferno4–13-0.0228%9 Jan →
dust24–13-0.0413%7 Jan →
overpass13–10-0.0113%7 Jan →
ancient7–130.0616%7 Jan →
overpass13–7-0.0315%6 Jan →
inferno8–130.0915%6 Jan →
nuke11–13-0.0816%6 Jan →
inferno3–13-0.0120%6 Jan →
dust26–13-0.0114%5 Jan →
ancient13–30.0720%5 Jan →
ancient9–130.0012%5 Jan →
train13–90.0013%5 Jan →
inferno13–10-0.0116%3 Jan →
mirage6–130.0224%3 Jan →
dust216–14-0.0114%30 Dec →
nuke13–70.0323%30 Dec →
mirage9–130.0218%30 Dec →
inferno9–13-0.0823%30 Dec →
dust26–130.0515%30 Dec →
inferno14–160.0012%30 Dec →
overpass13–9-0.0013%30 Dec →
mirage13–70.0516%30 Dec →
nuke13–8-0.0117%30 Dec →
dust213–110.0121%30 Dec →
mirage13–5-0.0318%29 Dec →
inferno13–30.0115%29 Dec →
overpass13–8-0.0415%29 Dec →
mirage13–90.0518%29 Dec →
inferno13–8-0.0633%29 Dec →
cache_b9–13-0.0212%21 Dec →
vertigo13–60.0519%21 Dec →
dust28–13-0.0531%21 Dec →
inferno13–70.0321%21 Dec →
ancient16–140.0115%21 Dec →
nuke16–130.1019%21 Dec →
mirage5–130.0317%20 Dec →
inferno11–130.0417%20 Dec →
dust25–130.0918%20 Dec →
ancient13–70.1419%20 Dec →
overpass11–130.0316%20 Dec →
inferno7–13-0.0122%20 Dec →
nuke6–130.0218%20 Dec →
vertigo13–160.0716%20 Dec →
ancient3–13-0.0513%20 Dec →
train10–13-0.047%19 Dec →
nuke13–80.0814%19 Dec →
ancient10–130.0225%19 Dec →
nuke10–130.0820%19 Dec →
inferno0–13-0.0114%19 Dec →
mirage8–13-0.0222%19 Dec →
overpass5–130.0712%19 Dec →

Match data via Leetify.

Recent teammates

Milestones

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

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