PerusRaimo

PerusRaimo — CS2 Stats

76561197977764910[U:1:17499182]Steam profile ↗✓ No bans

3,989Tracked matches48%Win rate2020Tracked since
CSDB Rating4.7 DevelopingAll-Rounder
Premier CS Rating12,806Blue band · top ~40% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 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: 12,806 +538 19 Aug – 15 Oct · 26 days played
8,48513,773peak 13,77319 Aug15 Oct
13,773Peak Premier in tracked matches
26Days played since 2026-08-19

Premier CS Rating

  • 967 below peak (13,773)
  • +3,829 over 30 days · improving
  • Next: Purple band at 15,000 — 2,194 to go
  • Reached: Blue band · Light 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.GGPerusRaimoFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,806 · Blue bandcsdb.gg/stats

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Performance scores

Aim57
Positioning50
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateWWWLLLLLTW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +4.0pp headshot accuracy · −89ms reaction

Win rate down 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 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 584ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 29%
  • Avg reaction 645ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 27%
  • Avg reaction 689ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.7
Utility5.3
Positioning5.0
Opening Duels3.2

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

ZywOo

Plays most like ZywOo 81% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 682ms 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

Aim5.7
Positioning5.0
Utility5.3
Mechanics4.8
Opening Duels3.0
Win Impact4.4

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 rating0.03+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time676ms+30ms
first ⅓ avg 646ms → last ⅓ avg 676ms
Headshot accuracy26.3%+0.9%
first ⅓ avg 25.4% → last ⅓ avg 26.3%

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

0.23Best match rating · 13–2 · nuke, 11 Oct →
54%Best headshot accuracy · 6–11 · nuke, 13 Oct →
469msFastest reaction time · 6–11 · nuke, 13 Oct →
13–1Biggest win · ancient, 8 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
10–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 73% over 15mirageWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
dust2C176–1135%0.02
nukeA1610–663%0.07
cacheS1511–473%0.04
mirageD155–1033%0.03
ancientC146–843%0.04
infernoD124–833%0.01
anubisC114–736%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 15). Start with the 5 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.

26.1%Headshot accuracy
36.3%Accuracy (enemy spotted)
40.6%Spray accuracy
71.4%Counter-strafing
14.1°Preaim
682msReaction time
38.9%T opening success
44.7%CT opening success
0.60Enemies flashed / flash
9.2%Flash assists
12.65HE damage / grenade
4.74Flashes / 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 14.1404° — above the 12° mark we flag

    Aim Training →
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 & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–80.0724%15 Oct →
inferno13–70.0126%14 Oct →
dust213–10-0.0021%14 Oct →
inferno9–130.0621%14 Oct →
mirage7–130.0434%14 Oct →
dust21–13-0.0525%14 Oct →
nuke6–110.0454%13 Oct →
mirage10–130.0136%13 Oct →
mirage15–150.0129%13 Oct →
cache13–100.0618%12 Oct →
nuke16–140.0916%12 Oct →
mirage4–130.1032%11 Oct →
cache13–100.0436%11 Oct →
nuke13–20.2325%11 Oct →
anubis13–70.0220%11 Oct →
inferno5–13-0.0118%10 Oct →
cache16–140.0622%10 Oct →
inferno9–130.0028%10 Oct →
mirage13–40.0825%10 Oct →
dust210–13-0.0226%10 Oct →
mirage8–13-0.1024%9 Oct →
nuke13–110.0221%9 Oct →
cache8–130.0231%9 Oct →
inferno13–9-0.0220%9 Oct →
inferno13–110.0121%8 Oct →
dust27–130.0640%8 Oct →
ancient13–10.1330%8 Oct →
inferno5–130.0342%8 Oct →
anubis4–13-0.0523%7 Oct →
inferno3–13-0.0323%7 Oct →
inferno3–13-0.0219%3 Oct →
ancient13–30.0314%3 Oct →
nuke13–50.0027%3 Oct →
cache13–50.0418%3 Oct →
mirage13–20.1417%3 Oct →
dust25–130.0126%2 Oct →
nuke6–130.1325%2 Oct →
anubis11–130.0625%2 Oct →
nuke14–16-0.0417%2 Oct →
dust210–130.0011%2 Oct →
anubis7–130.0327%2 Oct →
mirage13–20.1028%1 Oct →
cache13–80.0629%29 Sept →
ancient10–130.0530%27 Sept →
dust213–110.0629%27 Sept →
cache2–130.0235%27 Sept →
mirage16–13-0.0330%27 Sept →
cache13–30.0321%26 Sept →
dust213–70.0848%26 Sept →
inferno13–80.0621%26 Sept →
dust213–60.0721%26 Sept →
anubis13–11-0.0028%26 Sept →
cache13–9-0.0132%26 Sept →
nuke13–50.1030%26 Sept →
mirage6–130.0431%25 Sept →
dust211–130.0531%25 Sept →
dust213–110.0230%25 Sept →
dust23–130.0129%25 Sept →
nuke13–90.0729%25 Sept →
ancient9–130.0726%25 Sept →
dust22–13-0.0131%24 Sept →
nuke15–150.0424%24 Sept →
ancient11–130.0831%24 Sept →
cache8–130.0235%24 Sept →
ancient13–50.1035%23 Sept →
cache9–130.0433%23 Sept →
anubis13–100.0532%10 Sept →
nuke13–90.0620%10 Sept →
cache13–11-0.0219%10 Sept →
anubis15–150.0127%9 Sept →
dust210–13-0.0628%5 Sept →
nuke13–90.1025%5 Sept →
nuke11–13-0.0221%29 Aug →
nuke13–10.1719%29 Aug →
dust213–160.0826%29 Aug →
inferno9–13-0.0538%29 Aug →
ancient11–13-0.0124%29 Aug →
cache13–50.0628%29 Aug →
nuke13–20.1032%29 Aug →
ancient5–13-0.0220%29 Aug →
mirage7–130.0320%29 Aug →
ancient7–13-0.0635%28 Aug →
anubis2–13-0.0024%28 Aug →
mirage2–130.0124%28 Aug →
inferno7–130.0235%28 Aug →
ancient11–130.1020%28 Aug →
mirage5–13-0.0140%22 Aug →
mirage5–130.0516%22 Aug →
ancient0–13-0.1040%22 Aug →
nuke4–130.0845%22 Aug →
anubis8–130.0323%22 Aug →
anubis15–15-0.0414%22 Aug →
dust25–13-0.0123%20 Aug →
dust213–9-0.0224%20 Aug →
ancient16–140.0325%20 Aug →
ancient13–60.0918%20 Aug →
ancient13–100.0432%19 Aug →
cache13–10.1715%19 Aug →
anubis16–140.0521%19 Aug →
mirage13–90.0315%19 Aug →

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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