Reuma Rami

Reuma Rami — CS2 Stats

76561198025650435[U:1:65384707]Steam profile ↗✓ No bans

1,098Tracked matches39%Win rate2020Tracked since
1,405Hours in CS
CSDB Rating5.8 SolidSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,098 tracked matches. Play, then come back: the next observation lands here.

Rating over time

32Days played since 2025-08-07

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

No matches recorded between 17 Sep 2026 and 14 Oct 2026.

Measured 17 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,998), 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 4 medianLevel 5 medianvs Level 5
Headshot rate42.0%42.7%43.7%1.7% short
Shot accuracy15.6%11.3%12.0%above
Kill/death ratio1.280.991.02above
Match win rate48.4%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGReuma RamiFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim69
Positioning56
Utility64

0–100 skill scores via Leetify.

Recent form

HOT45–43–12Last 10045%Win rateWLWWTWWWWL

Last 10 vs previous 10: +50pp win rate · +0.01 avg rating · −5.1pp headshot accuracy · −30ms reaction

Win rate up 50pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 20%
  • Avg reaction 644ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 702ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 717ms

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 (+0.8 against its own average).

Aim6.9
Utility6.4
Positioning5.6
Opening Duels4.7

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

jL

Plays most like jL 81% 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

T-side openings. Opening success drops from 51% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 693ms 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

Aim6.9
Positioning5.6
Utility6.4
Mechanics7.9
Opening Duels2.8
Win Impact1.4

Composite 5.8/10 (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 rating0.00−0.04
first ⅓ avg 0.04 → last ⅓ avg 0.00
Reaction time694ms+69ms
first ⅓ avg 625ms → last ⅓ avg 694ms
Headshot accuracy21.5%+1.9%
first ⅓ avg 19.6% → last ⅓ avg 21.5%

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

0.32Best match rating · 9–1 · inferno, 11 Jul →
44%Best headshot accuracy · 13–6 · nuke, 28 Dec →
484msFastest reaction time · 1–9 · inferno, 8 Aug →
13–2Biggest win · cache, 11 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–2In matches decided by ≤2 rounds
3Overtime games

Map breakdown

trainBest map · 67% over 6mirageWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB2913–1645%0.02
infernoB2211–1150%0.03
vertigoC114–736%0.04
mirageD92–722%-0.01
trainS64–267%0.07
cacheS64–267%0.00
ancientD62–433%0.02
overpass—41–325%0.02
dust2—32–167%0.08
palacio—21–150%0.07
office—10–10%0.01
anubis—11–0100%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,161Lifetime kills
1.28K/D · Top 10% of Level 4 players
3,139Matches
48.4%Match win rate · Top 25% of Level 4 players
42.0%Headshot %
15.6%Shot accuracy · Top 25% of Level 4 players
8,509MVPs
1,405Hours (in match)
3,600Bombs planted
1,023Bombs defused

Most-used weapons

AK-4727,791
AWP5,171
MAC-101,594
P2501,401
MP91,310

Lifetime map wins

6,932inferno
2,602train
2,475dust2
1,927nuke
1,627vertigo
231cbble
227office
41dust

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

Faceit stats

Combat

83Matches
57%Win rate
1.51Avg K/D
—ADR
39%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Vertigo3100%2.0720.3
Overpass1100%3.7126.0
Anubis1100%1.6922.0
Nuke1100%1.0015.0

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.

21.3%Headshot accuracy
35.1%Accuracy (enemy spotted)
39.9%Spray accuracy
85.6%Counter-strafing
10.5°Preaim
693msReaction time
31.7%T opening success
50.5%CT opening success
0.58Enemies flashed / flash
3.8%Flash assists
10.33HE damage / grenade
13.17Flashes / 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 31.7145% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–00.0511%11 Sept →
train10–130.0015%11 Sept →
nuke13–110.1025%11 Sept →
vertigo13–90.0920%8 Sept →
nuke12–12-0.0131%8 Sept →
nuke13–50.0713%11 Aug →
cache13–20.097%11 Aug →
cache13–9-0.0525%8 Aug →
overpass13–7-0.069%8 Aug →
mirage7–13-0.1010%8 Aug →
cache6–13-0.0417%2 Aug →
cache10–13-0.0621%1 Aug →
mirage8–13-0.0111%1 Aug →
inferno10–13-0.1116%1 Aug →
inferno0–9-0.2317%11 Jul →
nuke4–90.0330%11 Jul →
inferno9–10.3227%11 Jul →
overpass9–130.0628%4 Jun →
vertigo8–13-0.0126%4 Jun →
nuke13–90.1223%4 Jun →
inferno5–13-0.0541%2 Jun →
cache13–90.0427%2 Jun →
vertigo2–130.0332%2 Jun →
office5–130.0122%2 Jun →
nuke1–13-0.0430%2 Jun →
nuke4–13-0.0729%2 Jun →
inferno13–40.0619%28 May →
nuke6–13-0.0818%28 May →
nuke4–13-0.0833%28 May →
vertigo10–13-0.0419%28 May →
mirage12–12-0.0722%25 May →
cache13–40.0220%25 May →
vertigo9–130.0418%25 May →
nuke13–70.1024%25 May →
nuke2–13-0.0136%16 May →
nuke13–8-0.0213%16 May →
ancient13–70.1817%14 Mar →
inferno11–130.0826%20 Feb →
mirage13–9-0.0312%20 Feb →
nuke6–13-0.0621%20 Feb →
nuke12–120.0418%14 Feb →
inferno7–13-0.0022%14 Feb →
nuke12–120.0519%14 Feb →
vertigo0–13-0.0128%14 Feb →
inferno15–15-0.0017%1 Feb →
ancient5–13-0.0532%1 Feb →
inferno16–140.0523%1 Feb →
ancient13–60.0515%1 Feb →
mirage8–13-0.0112%1 Feb →
nuke13–100.0218%1 Feb →
nuke13–11-0.039%1 Feb →
vertigo13–9-0.0018%5 Jan →
nuke5–13-0.049%5 Jan →
train13–50.1443%2 Jan →
palacio13–60.0912%2 Jan →
dust28–130.0543%2 Jan →
nuke6–130.1019%2 Jan →
ancient3–13-0.0016%31 Dec →
train5–13-0.0614%31 Dec →
inferno13–70.0930%31 Dec →
inferno9–60.0222%31 Dec →
anubis13–50.0623%30 Dec →
train13–60.1523%30 Dec →
inferno13–90.0317%30 Dec →
vertigo12–120.0519%30 Dec →
nuke13–60.0444%28 Dec →
palacio12–120.0416%28 Dec →
inferno12–12-0.0131%28 Dec →
vertigo13–40.1417%28 Dec →
nuke3–13-0.0513%28 Dec →
inferno9–30.2115%21 Dec →
vertigo5–130.0221%3 Nov →
nuke13–50.1116%3 Nov →
nuke13–60.0824%17 Oct →
overpass5–130.059%13 Oct →
vertigo13–90.0824%13 Oct →
inferno13–30.0737%13 Oct →
nuke12–120.0416%13 Oct →
mirage13–80.1022%28 Aug →
train13–80.1313%28 Aug →
inferno8–130.0218%28 Aug →
mirage7–13-0.0218%28 Aug →
dust213–30.1220%28 Aug →
overpass6–130.0210%23 Aug →
train13–60.0417%23 Aug →
nuke12–120.019%23 Aug →
inferno13–40.0418%23 Aug →
mirage9–130.0725%19 Aug →
nuke13–80.0114%19 Aug →
dust213–110.0717%19 Aug →
mirage11–13-0.0219%14 Aug →
inferno12–12-0.0523%12 Aug →
ancient2–13-0.0121%12 Aug →
nuke13–11-0.0321%12 Aug →
inferno16–12-0.0529%12 Aug →
inferno9–40.2117%8 Aug →
inferno1–9-0.1627%8 Aug →
inferno8–80.0325%8 Aug →
nuke10–130.0110%7 Aug →
ancient2–13-0.0432%7 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 →

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