Raimo

Raimo — CS2 Stats

MN76561198010319585[U:1:50053857]Steam profile ↗✓ No bans

1,595Tracked matches47%Win rate2020Tracked since
3,853Hours in CS3Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating21,092Top 50% of 213,399 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#68821 of 259985 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 21,092 -3,024 30 Mar – 4 Nov · 23 days played
21,09225,000peak 25,00030 Mar4 Nov
25,100Peak Premier in tracked matches
2,030Highest Faceit ELO seen on CSDB
29Days played since 2026-03-30

Premier CS Rating

  • 3,908 below peak (25,000)
  • Next: Red band at 25,000 — 3,908 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. 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate38.5%50.9%
Shot accuracy14.5%13.7%
Kill/death ratio0.961.09
Match win rate47.7%48.4%

Share this profile

CSDB.GGRaimoFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER21,092 · Pink bandPEAK ELO2,030csdb.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

Aim53
Positioning52
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateLWWLLLLWWL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −5.4pp headshot accuracy · −56ms reaction

Win rate down 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 569ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 566ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 594ms

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 (+2.8 against its own average).

Aim5.3
Utility6.9
Positioning5.2
Opening Duels1.5
Clutch2.8

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 68% 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. 595ms 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

Aim5.3
Positioning5.2
Utility6.9
Mechanics5.8
Opening Duels1.4
Win Impact3.9

Composite 5.2/10 (Developing), 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 rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time601ms−51ms
first ⅓ avg 652ms → last ⅓ avg 601ms
Headshot accuracy15.0%+1.5%
first ⅓ avg 13.5% → last ⅓ avg 15.0%

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

0.12Best match rating · 13–2 · inferno, 9 Jun →
33%Best headshot accuracy · 6–13 · dust2, 27 Jul →
414msFastest reaction time · 13–3 · mirage, 26 Sept →
12–1Biggest win · mirage, 14 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 65% over 20infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
mirageC2911–1838%-0.00
ancientS2013–765%-0.01
dust2B179–853%-0.01
infernoD165–1131%-0.01
anubisC104–640%-0.00
cache—41–325%-0.01
overpass—43–175%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

88,371Lifetime kills
0.96K/D
4,557Matches
47.7%Match win rate
38.5%Headshot %
14.5%Shot accuracy · Top 50% of Level 10 players
10,574MVPs
2,266Hours (in match)
4,495Bombs planted
1,372Bombs defused

Most-used weapons

Lifetime map wins

10,563dust2
8,010inferno
3,408train
1,669nuke
636cbble
284vertigo
86office
54lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,212Matches
52%Win rate
1.03Avg K/D
70.3ADR
37%Headshot %

Clutches & streaks

34%1v1 clutch win
11%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3861%1.0214.3
Ancient2962%0.9915.5
Inferno2576%1.0214.2
Anubis1533%0.8614.8
Dust21164%1.0216.0
Nuke650%0.8013.2
Overpass333%0.9313.3
Vertigo1100%1.0814.0

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.

14.8%Headshot accuracy
35.1%Accuracy (enemy spotted)
38.0%Spray accuracy
75.9%Counter-strafing
12.9°Preaim
595msReaction time
27.3%T opening success
41.4%CT opening success
0.61Enemies flashed / flash
6.6%Flash assists
10.80HE damage / grenade
11.80Flashes / 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 12.9263° — 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 14.7751% — below the 15% mark we flag

    Aim Training →
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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache7–130.0313%4 Nov →
ancient13–10-0.0112%4 Nov →
dust213–9-0.0313%4 Nov →
mirage7–130.0817%4 Nov →
inferno8–13-0.006%14 Oct →
anubis13–160.0120%14 Oct →
dust211–13-0.0210%14 Oct →
mirage13–110.0418%26 Sept →
mirage13–3-0.0113%26 Sept →
mirage9–13-0.044%26 Sept →
inferno3–13-0.0510%12 Aug →
cache9–13-0.0432%12 Aug →
ancient13–9-0.0811%12 Aug →
dust213–40.0312%27 Jul →
cache13–60.015%27 Jul →
dust26–13-0.1133%27 Jul →
inferno13–11-0.0119%27 Jul →
ancient8–13-0.0725%15 Jul →
ancient13–40.0712%15 Jul →
mirage13–90.1119%15 Jul →
ancient9–13-0.0313%15 Jul →
dust213–60.039%14 Jul →
mirage12–10.0614%14 Jul →
ancient13–6-0.049%14 Jul →
mirage2–13-0.0819%14 Jul →
cache5–13-0.0312%14 Jul →
ancient13–9-0.039%22 Jun →
anubis7–13-0.0324%22 Jun →
mirage9–13-0.0215%22 Jun →
inferno11–13-0.0312%16 Jun →
dust213–8-0.0322%16 Jun →
mirage10–13-0.0419%16 Jun →
anubis14–160.0415%16 Jun →
mirage13–4-0.026%14 Jun →
ancient12–16-0.0320%14 Jun →
mirage8–13-0.0313%14 Jun →
mirage10–13-0.0426%9 Jun →
inferno7–13-0.0513%9 Jun →
dust213–10-0.035%9 Jun →
mirage9–13-0.0220%9 Jun →
ancient12–16-0.005%9 Jun →
inferno13–20.1220%9 Jun →
mirage13–4-0.0213%2 Jun →
ancient13–10-0.0311%2 Jun →
ancient14–16-0.0120%31 May →
overpass13–4-0.0222%31 May →
dust213–9-0.027%31 May →
mirage13–90.0212%31 May →
mirage13–100.0113%27 May →
anubis8–13-0.034%27 May →
inferno11–13-0.0217%27 May →
dust22–13-0.0619%27 May →
mirage11–130.0411%27 May →
inferno15–15-0.0419%26 May →
mirage11–13-0.0119%26 May →
dust213–5-0.0114%21 May →
ancient13–90.0314%21 May →
mirage10–13-0.0014%21 May →
inferno10–13-0.0412%21 May →
mirage7–130.0318%19 May →
dust215–150.0027%19 May →
anubis13–11-0.0211%6 May →
overpass13–100.0522%6 May →
dust215–15-0.0613%6 May →
mirage3–13-0.1113%6 May →
inferno9–13-0.0515%6 May →
inferno16–120.0217%4 May →
dust211–130.0316%4 May →
anubis13–16-0.029%4 May →
mirage7–13-0.0221%4 May →
mirage11–130.0319%22 Apr →
ancient16–140.0417%22 Apr →
anubis13–60.0410%22 Apr →
mirage13–2-0.016%22 Apr →
dust213–90.019%16 Apr →
ancient13–100.0511%16 Apr →
inferno11–13-0.0414%16 Apr →
mirage10–130.0013%15 Apr →
mirage13–5-0.0517%15 Apr →
overpass13–110.0318%9 Apr →
ancient13–80.0128%9 Apr →
mirage11–130.0120%9 Apr →
inferno6–13-0.042%9 Apr →
anubis13–11-0.0411%9 Apr →
ancient13–90.0317%9 Apr →
inferno10–13-0.047%8 Apr →
ancient16–12-0.005%8 Apr →
dust213–7-0.0014%7 Apr →
inferno16–130.0211%6 Apr →
dust29–13-0.0220%6 Apr →
ancient11–13-0.077%6 Apr →
anubis9–13-0.024%5 Apr →
mirage13–50.098%5 Apr →
overpass9–13-0.0524%5 Apr →
ancient13–10-0.0515%31 Mar →
inferno13–20.0326%31 Mar →
dust27–130.0315%31 Mar →
anubis13–110.0314%30 Mar →
mirage5–13-0.0113%30 Mar →
ancient10–13-0.047%30 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.