Ran_

Ran_ — CS2 Stats

JP76561199520170303[U:1:1559904575]Steam profile ↗✓ No bans

1,169Tracked matches63%Win rate2023Tracked since
1,274Hours in CS44Hrs last 2 wks
CSDB Rating7.9 StrongPositional Player
Premier CS Rating26,275Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#11929 of 261506 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (4 days ago). 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: 26,275 +526 5 Apr – 10 Nov · 16 days played
24,13226,579peak 26,5795 Apr10 Nov
27,120Peak Premier in tracked matches
25Days played since 2026-03-28

Premier CS Rating

  • 304 below peak (26,579)
  • Next: Gold band at 30,000 — 3,725 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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate62.6%46.8%48.2%above
Shot accuracy0.6%13.0%13.2%12.6% short
Kill/death ratio1.131.061.07above
Match win rate55.6%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRan_FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER26,275 · Red bandcsdb.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

Aim84
Positioning74
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY65–32–3Last 10065%Win rateLWLWLLWLWW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −1.7pp headshot accuracy · +53ms 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 (+0.01), 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 31%
  • Avg reaction 610ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 29%
  • Avg reaction 597ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 30%
  • Avg reaction 571ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim8.4
Utility5.3
Positioning7.4
Opening Duels7.3
Clutch4.6

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

s1mple

Plays most like s1mple 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Strengths

T openings. 77% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 77% on T to 54% on CT — first contacts on the defending side are being lost.

Reaction time. 565ms 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

Aim8.4
Positioning7.4
Utility5.3
Mechanics6.4
Opening Duels8.0
Win Impact9.4

Composite 7.9/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.03
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time561ms−35ms
first ⅓ avg 596ms → last ⅓ avg 561ms
Headshot accuracy28.3%−1.3%
first ⅓ avg 29.6% → last ⅓ avg 28.3%

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

0.22Best match rating · 13–3 · dust2, 30 Oct →
75%Best headshot accuracy · 0–7 · overpass, 18 Apr →
391msFastest reaction time · 2–13 · mirage, 31 Oct →
13–0Biggest win · mirage, 26 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak
5–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 88% over 17nukeWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2S2718–967%0.04
cacheS1715–288%0.05
mirageS1712–571%0.05
ancientA117–464%0.02
anubisA106–460%0.01
infernoB84–450%0.04
nukeC73–443%-0.00
office—20–20%0.01
overpass—10–10%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,025Lifetime kills
1.13K/D · Top 50% of Level 8 players
1,365Matches
55.6%Match win rate · Top 5% of Level 8 players
62.6%Headshot % · Top 5% of Level 8 players
0.6%Shot accuracy
4,207MVPs
2,157Hours (in match)
508Bombs planted
343Bombs defused

Most-used weapons

Lifetime map wins

5,190dust2
1,857inferno
799vertigo
458nuke
140train
72office

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

Faceit stats

Combat

181Matches
54%Win rate
1.31Avg K/D
89.8ADR
54%Headshot %

Clutches & streaks

43%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4743%1.2719.1
Inferno3639%1.2319.7
Dust22767%1.7118.1
Vertigo2167%1.2919.2
Ancient2060%1.1415.9
Anubis1958%1.0717.0
Nuke875%1.7419.3
Overpass367%1.3318.3

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.

27.8%Headshot accuracy
35.6%Accuracy (enemy spotted)
36.4%Spray accuracy
78.9%Counter-strafing
8.7°Preaim
565msReaction time
76.5%T opening success
53.8%CT opening success
0.61Enemies flashed / flash
6.4%Flash assists
9.18HE damage / grenade
5.48Flashes / match

Recommended for you

Spend your practice time on Nuke

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0633%10 Nov →
cache13–5-0.0429%10 Nov →
dust20–13-0.0543%7 Nov →
mirage13–70.0719%7 Nov →
inferno10–130.0133%7 Nov →
nuke4–13-0.0426%7 Nov →
dust213–110.0737%7 Nov →
dust25–13-0.0926%3 Nov →
nuke13–40.0813%3 Nov →
inferno13–70.0231%3 Nov →
cache13–70.0235%3 Nov →
ancient13–90.0139%3 Nov →
cache13–100.0530%3 Nov →
nuke2–13-0.085%3 Nov →
anubis1–13-0.0532%1 Nov →
dust213–50.0250%1 Nov →
inferno13–30.0233%1 Nov →
ancient13–40.0633%1 Nov →
ancient11–5-0.0228%1 Nov →
ancient13–16-0.0620%1 Nov →
anubis7–130.0133%1 Nov →
inferno4–13-0.0122%1 Nov →
dust213–20.0533%1 Nov →
nuke9–13-0.0516%31 Oct →
nuke13–80.1023%31 Oct →
ancient13–20.0528%31 Oct →
dust213–70.0224%31 Oct →
anubis13–9-0.0120%31 Oct →
dust213–80.0922%31 Oct →
anubis13–30.0027%31 Oct →
cache13–70.0123%31 Oct →
ancient13–8-0.0121%31 Oct →
mirage2–13-0.0145%31 Oct →
dust211–130.0433%31 Oct →
nuke12–120.0135%31 Oct →
dust23–13-0.0424%31 Oct →
office5–130.0453%31 Oct →
dust29–00.0250%31 Oct →
dust213–40.0741%31 Oct →
anubis5–13-0.0230%30 Oct →
mirage13–80.0828%30 Oct →
dust213–30.2225%30 Oct →
dust213–50.0236%30 Oct →
mirage13–20.0833%30 Oct →
inferno13–30.0916%30 Oct →
ancient15–15-0.0025%30 Oct →
cache13–30.0729%30 Oct →
dust211–13-0.0225%26 Oct →
anubis13–60.0532%26 Oct →
cache13–70.0337%26 Oct →
cache13–5-0.0238%26 Oct →
dust213–2-0.0910%14 Aug →
mirage13–70.0715%14 Aug →
mirage7–13-0.0329%14 Aug →
dust213–40.0026%7 Aug →
anubis13–110.0431%7 Aug →
mirage6–130.1042%7 Aug →
mirage11–110.1530%4 Aug →
dust28–130.1039%4 Aug →
mirage13–70.0826%31 Jul →
mirage13–10.1726%31 Jul →
dust213–40.1428%31 Jul →
ancient11–130.1036%26 Jul →
inferno11–130.0429%26 Jul →
mirage13–0-0.0117%26 Jul →
ancient16–140.0234%3 Jul →
mirage13–40.0334%31 May →
inferno14–160.0040%9 May →
mirage13–70.0214%4 May →
dust211–130.000%2 May →
dust213–5-0.0432%2 May →
dust213–11-0.0128%2 May →
mirage15–150.0734%2 May →
anubis13–10-0.063%2 May →
cache13–30.1333%2 May →
dust213–90.1933%1 May →
cache13–80.0331%1 May →
cache13–10.1028%1 May →
cache13–40.0123%1 May →
cache13–20.1031%1 May →
cache13–00.1632%1 May →
cache13–40.0526%1 May →
cache6–130.0622%1 May →
cache5–130.0327%1 May →
cache13–20.0727%1 May →
anubis13–20.019%30 Apr →
dust213–90.0336%24 Apr →
dust211–130.0844%24 Apr →
anubis2–120.1246%18 Apr →
overpass0–7-0.0375%18 Apr →
dust213–70.0525%17 Apr →
ancient9–13-0.0431%17 Apr →
dust213–40.1443%11 Apr →
mirage13–8-0.0427%11 Apr →
nuke13–11-0.0421%5 Apr →
office1–13-0.0346%5 Apr →
ancient13–100.0941%5 Apr →
inferno13–60.1429%28 Mar →
mirage13–6-0.0414%28 Mar →
mirage13–100.0024%28 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 →

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