Risom

Risom — CS2 Stats

76561198018995192[U:1:58729464]Steam profile ↗✓ No bans

1,085Tracked matches63%Win rate2020Tracked since
1,612Hours in CS
CSDB Rating5.5 SolidSupport
CSDB Leaderboard#62183 of 258592 tracked
FaceitLevel 10 · 1,967 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,555 -1,068 22 Aug – 28 Mar · 21 days played
19,74326,674peak 26,67422 Aug28 Mar
26,674Peak Premier in tracked matches
1,967Highest Faceit ELO seen on CSDB
40Days played since 2025-08-22

Faceit ELO

  • At peak — 1,967
  • Next: Level 10 at 2,001 — 34 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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

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 rate47.9%50.9%
Shot accuracy15.2%13.7%
Kill/death ratio1.141.09
Match win rate47.9%48.4%

Share this profile

CSDB.GGRisomFACEITLevel 10 · 1,967 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,967csdb.gg/stats

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Performance scores

Aim62
Positioning52
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY58–40–2Last 10058%Win rateLLLWWWWLLW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +2.8pp headshot accuracy · −47ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 606ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 595ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 618ms

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 against its own average).

Aim6.2
Utility5.7
Positioning5.2
Opening Duels3.1
Clutch4.8

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

Twistzz

Plays most like Twistzz 88% 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. 614ms 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

Aim6.2
Positioning5.2
Utility5.7
Mechanics6.0
Opening Duels1.8
Win Impact9.4

Composite 5.5/10 (Solid), 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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time615ms+5ms
first ⅓ avg 609ms → last ⅓ avg 615ms
Headshot accuracy16.6%−2.6%
first ⅓ avg 19.2% → last ⅓ avg 16.6%

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

0.09Best match rating · 13–7 · nuke, 29 Aug →
38%Best headshot accuracy · 13–5 · ancient, 2 Jan →
422msFastest reaction time · 10–13 · inferno, 4 Oct →
13–0Biggest win · dust2, 20 Dec →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
10–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 86% over 14mirageWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
ancientB179–853%0.02
dust2B179–853%0.01
infernoB147–750%0.01
nukeS1412–286%-0.01
mirageD124–833%-0.01
anubisS96–367%0.01
overpassA85–363%0.01
trainA53–260%-0.00
cache—21–150%-0.06
cache_b—11–0100%-0.02
vertigo—11–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,643Lifetime kills
1.14K/D · Top 50% of Level 10 players
3,149Matches
47.9%Match win rate
47.9%Headshot %
15.2%Shot accuracy · Top 50% of Level 10 players
8,836MVPs
1,612Hours (in match)
3,962Bombs planted
979Bombs defused

Most-used weapons

Lifetime map wins

6,289inferno
3,071nuke
2,809dust2
1,858vertigo
639train
517cbble
54lake
20militia

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

Faceit stats

Combat

631Matches
52%Win rate
1.11Avg K/D
79.2ADR
49%Headshot %

Clutches & streaks

44%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient6048%1.0416.5
Mirage5542%0.9415.2
Nuke4372%1.1616.1
Anubis4257%1.0716.3
Dust24038%0.9815.3
Inferno2646%1.0218.0
Vertigo2658%1.3218.4
Overpass1267%1.0214.3

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.

15.9%Headshot accuracy
35.1%Accuracy (enemy spotted)
37.9%Spray accuracy
76.8%Counter-strafing
10.4°Preaim
614msReaction time
34.3%T opening success
40.5%CT opening success
0.68Enemies flashed / flash
8.7%Flash assists
8.46HE damage / grenade
7.66Flashes / 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

    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 34.3256% — 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 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0013%5 Oct →
nuke9–13-0.049%5 Oct →
mirage10–130.0326%13 Jul →
nuke7–3-0.077%13 Jul →
ancient13–20.0221%11 Jul →
anubis13–6-0.109%11 Jul →
anubis13–80.0627%19 Jun →
mirage6–13-0.0419%7 Jun →
cache3–13-0.0628%9 May →
cache13–7-0.0713%6 May →
nuke13–40.0115%6 May →
ancient13–9-0.048%28 Mar →
ancient0–20.0425%28 Mar →
nuke13–11-0.0120%18 Mar →
anubis7–13-0.0419%18 Mar →
nuke13–60.0020%11 Mar →
inferno13–50.0014%11 Mar →
anubis5–13-0.0210%7 Mar →
mirage13–8-0.066%7 Mar →
inferno13–50.037%7 Mar →
nuke13–5-0.0114%4 Mar →
overpass8–13-0.0417%4 Mar →
nuke13–60.0114%26 Feb →
anubis13–90.0720%24 Feb →
dust213–16-0.0212%22 Feb →
inferno13–110.0212%22 Feb →
ancient11–130.0115%22 Feb →
nuke13–40.0524%22 Feb →
anubis13–80.0714%22 Feb →
ancient13–70.0133%19 Feb →
dust213–110.0825%15 Feb →
inferno13–80.0313%15 Feb →
overpass13–9-0.0120%15 Feb →
mirage13–100.0421%11 Feb →
ancient13–100.0325%11 Feb →
dust213–16-0.0112%10 Feb →
nuke7–13-0.0116%10 Feb →
dust28–13-0.0420%10 Feb →
ancient4–13-0.0116%8 Feb →
dust213–11-0.077%6 Feb →
nuke13–4-0.0424%4 Feb →
dust216–140.0520%4 Feb →
ancient9–13-0.0112%4 Feb →
inferno10–130.0217%31 Jan →
ancient8–130.0718%25 Jan →
anubis7–130.0515%25 Jan →
dust27–130.0110%25 Jan →
anubis19–17-0.034%18 Jan →
dust25–10.0511%17 Jan →
overpass7–13-0.0117%4 Jan →
dust215–150.0813%4 Jan →
train11–13-0.0114%4 Jan →
dust28–13-0.0416%3 Jan →
inferno8–13-0.0412%3 Jan →
nuke13–6-0.0411%2 Jan →
overpass13–20.0419%2 Jan →
ancient13–40.0529%2 Jan →
train13–70.0219%2 Jan →
inferno16–130.0414%2 Jan →
dust213–100.0121%2 Jan →
dust213–80.0421%2 Jan →
ancient13–50.0238%2 Jan →
train7–13-0.0216%1 Jan →
mirage10–13-0.049%1 Jan →
overpass13–70.0527%1 Jan →
inferno11–13-0.0127%1 Jan →
ancient13–100.0419%30 Dec →
dust24–13-0.0423%28 Dec →
nuke13–9-0.0520%28 Dec →
ancient13–80.0415%28 Dec →
mirage6–13-0.0310%28 Dec →
nuke13–40.0315%28 Dec →
cache_b13–11-0.0224%28 Dec →
inferno6–130.0227%28 Dec →
dust213–0-0.0210%20 Dec →
mirage11–130.0423%20 Dec →
train13–9-0.0318%20 Dec →
dust28–130.0833%16 Nov →
ancient11–130.0721%16 Nov →
mirage13–100.0112%16 Nov →
mirage9–13-0.0024%14 Nov →
inferno13–80.0323%14 Nov →
train13–100.0424%10 Oct →
vertigo13–10.0318%10 Oct →
dust213–11-0.0119%10 Oct →
overpass13–50.0822%10 Oct →
mirage6–13-0.0326%10 Oct →
anubis13–80.000%10 Oct →
ancient13–80.0313%10 Oct →
inferno8–13-0.0223%10 Oct →
inferno10–13-0.0313%4 Oct →
dust213–70.0218%4 Oct →
mirage12–120.0014%9 Sept →
overpass9–130.0029%9 Sept →
mirage13–11-0.0017%29 Aug →
inferno13–110.0426%29 Aug →
nuke13–70.0921%29 Aug →
ancient10–13-0.0217%29 Aug →
overpass13–8-0.0515%22 Aug →
ancient10–130.0523%22 Aug →

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.