Raphismell

Raphismell — CS2 Stats

76561199484277557[U:1:1524011829]Steam profile ↗✓ No bans

1,382Tracked matches43%Win rate2023Tracked since
1,338Hours in CS22Hrs last 2 wks
CSDB Rating5.7 SolidAll-Rounder
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

+6Tracked matches · now 1,382
−2.0ppWin rate · 44.8% → 42.9%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 34 days played since 1 Mar 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 15,903 +784 1 Mar21 May · 6 days played
14,55615,903peak 15,9031 Mar21 May
15,903Peak Premier in tracked matches
34Days played since 2026-03-01

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 5 among CSDB-tracked players (n=11,606), 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 5 medianLevel 6 medianvs Level 6
Headshot rate50.5%43.8%44.9%above
Shot accuracy6.4%12.0%12.4%6.0% short
Kill/death ratio1.201.021.04above
Match win rate50.0%44.7%45.3%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRaphismellFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning45
Utility44

0–100 skill scores via Leetify.

Recent form

COLD50428Last 10050%Win rateTLLWLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +0.0pp headshot accuracy · −81ms reaction

Win rate down 30pp 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

  • 131 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 492ms

Last 10

  • 271 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 544ms

Last 20

  • 7103 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 584ms

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-RounderNo style dimension stands clear of the others in this profile.

Aim8.2
Utility4.4
Positioning4.5
Opening Duels2.1
Clutch4.0

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

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 608ms 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

Aim8.2
Positioning4.5
Utility4.4
Mechanics8.4
Opening Duels1.7
Win Impact2.6

Composite 5.7/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time600ms−2ms
first ⅓ avg 602ms → last ⅓ avg 600ms
Headshot accuracy19.2%−3.1%
first ⅓ avg 22.3% → last ⅓ avg 19.2%

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

0.25Best match rating · 9–1 · inferno, 22 Apr
38%Best headshot accuracy · 0–13 · cache, 30 Apr
406msFastest reaction time · 2–10 · nuke, 4 Sept
13–2Biggest win · cache, 30 Apr

Across the last 100 tracked matches.

Highlights

4Longest win streak
84In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 80% over 5cacheWeakest map · 35% over 23
MapGradePlayedRecordWin rateAvg rating
cacheC2381535%0.02
infernoA2012860%0.03
dust2S139469%0.01
nukeB126650%0.06
mirageA116555%0.06
ancientC73443%0.02
anubisS54180%0.02
overpass41325%0.02
train21150%-0.02
office2020%-0.04
poseidon1010%-0.20

Across the last 100 tracked matches.

Lifetime stats

52,525Lifetime kills
1.20K/D · Top 25% of Level 5 players
2,972Matches
50.0%Match win rate · Top 25% of Level 5 players
50.5%Headshot % · Top 25% of Level 5 players
6.4%Shot accuracy
10,618MVPs
1,865Hours (in match)
1,180Bombs planted
1,036Bombs defused

Most-used weapons

Lifetime map wins

4,871inferno
3,101nuke
2,897dust2
1,533vertigo
1,185train
378cbble
124lake
30office

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

Faceit stats

Combat

96Matches
50%Win rate
1.30Avg K/D
91.1ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
16%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient1650%1.2415.9
Mirage1520%1.0816.9
Nuke1573%1.9020.2
Dust21145%1.4519.9
Anubis956%1.3517.1
Inferno650%1.2318.8
Overpass560%1.0818.8
Cache1100%3.0015.0

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.

20.0%Headshot accuracy
36.6%Accuracy (enemy spotted)
39.6%Spray accuracy
87.8%Counter-strafing
8.8°Preaim
608msReaction time
36.5%T opening success
37.2%CT opening success
0.43Enemies flashed / flash
4.9%Flash assists
9.33HE damage / grenade
9.34Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4285 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 36.5398% — below the 40% mark we flag

Spend your practice time on Cache

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

35% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache12–120.0622%7 Sept
overpass11–13-0.018%7 Sept
ancient7–13-0.0214%4 Sept
inferno13–11-0.0114%4 Sept
nuke2–10-0.0029%4 Sept
cache7–130.0326%4 Sept
mirage8–13-0.0312%23 Aug
cache9–13-0.0926%12 Aug
train10–13-0.0727%12 Aug
train13–100.0328%12 Aug
cache13–110.0433%9 Aug
nuke13–60.0611%9 Aug
inferno13–40.1127%8 Aug
nuke12–120.1231%8 Aug
dust213–11-0.0029%8 Aug
overpass8–8-0.0424%8 Aug
inferno4–9-0.1314%8 Aug
inferno3–9-0.1211%8 Aug
inferno9–30.1216%8 Aug
ancient14–16-0.018%2 Aug
cache4–13-0.0414%2 Aug
nuke5–13-0.0317%28 Jul
cache6–130.0312%28 Jul
dust29–13-0.0417%26 Jul
dust213–60.0921%23 Jul
inferno8–130.0128%23 Jul
cache13–70.0519%23 Jul
nuke7–10.2022%23 Jul
anubis13–30.0920%22 Jul
office1–13-0.1513%21 Jul
nuke13–30.1521%21 Jul
cache2–13-0.069%21 Jul
ancient13–6-0.0212%20 Jul
inferno3–13-0.0131%20 Jul
nuke6–130.0315%20 Jul
mirage6–130.0416%20 Jul
cache10–13-0.0117%20 Jul
anubis13–50.0514%14 Jul
cache1–13-0.0120%14 Jul
mirage13–30.1922%14 Jul
nuke16–130.0833%13 Jul
mirage13–70.0324%13 Jul
cache6–130.0730%8 Jul
anubis13–90.0318%7 Jul
ancient13–9-0.0221%7 Jul
inferno5–9-0.0114%1 Jun
inferno9–70.0023%1 Jun
dust213–4-0.0215%1 Jun
dust213–8-0.0118%1 Jun
mirage13–90.1715%31 May
inferno12–120.0924%31 May
cache13–100.0525%27 May
nuke5–130.0120%27 May
mirage13–100.1131%27 May
dust213–100.0514%21 May
inferno6–90.0715%21 May
inferno9–10.1323%21 May
inferno9–60.0210%21 May
inferno13–60.0217%20 May
nuke13–60.0817%20 May
ancient8–130.0225%20 May
dust24–130.0720%20 May
office9–130.0735%13 May
inferno13–50.0931%13 May
nuke13–8-0.0129%13 May
mirage12–120.1320%9 May
dust213–60.0923%9 May
cache5–130.0623%9 May
anubis14–16-0.0414%8 May
inferno13–60.0322%8 May
mirage4–13-0.0519%5 May
cache9–130.0419%5 May
cache7–13-0.0313%30 Apr
cache13–70.0634%30 Apr
cache13–20.1317%30 Apr
cache12–120.0525%30 Apr
cache0–13-0.0438%30 Apr
cache13–70.0919%29 Apr
cache3–130.0125%29 Apr
cache13–110.0319%29 Apr
cache13–110.0117%29 Apr
overpass4–13-0.0319%22 Apr
mirage13–7-0.0125%22 Apr
dust213–70.0126%22 Apr
nuke7–90.0123%22 Apr
inferno9–10.2533%22 Apr
poseidon4–9-0.206%22 Apr
overpass9–70.1435%22 Apr
ancient13–30.2029%15 Apr
anubis13–11-0.0324%11 Apr
ancient15–15-0.0116%11 Apr
inferno13–70.0925%25 Mar
mirage12–120.0620%25 Mar
inferno3–9-0.1033%3 Mar
dust26–130.0238%3 Mar
mirage13–100.0025%3 Mar
dust213–8-0.0317%3 Mar
dust210–13-0.0115%3 Mar
dust213–7-0.0618%1 Mar
inferno13–7-0.046%1 Mar

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 →