Rost

Rost — CS2 Stats

US76561199050626997[U:1:1090361269]Steam profile ↗✓ No bans

3,076Tracked matches45%Win rate2020Tracked since
2,971Hours in CS3Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating22,023Top 50% of 211,308 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)
CSDB Leaderboard#55655 of 258289 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (2 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: 22,023 +206 31 Jul – 26 Oct · 26 days played
20,00023,889peak 23,88931 Jul26 Oct
23,889Peak Premier in tracked matches
30Days played since 2026-07-31

Premier CS Rating

  • 1,866 below peak (23,889)
  • +898 over 30 days · improving
  • +206 over 90 days
  • Next: Red band at 25,000 — 2,977 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate49.9%44.8%45.7%above
Shot accuracy5.4%12.4%12.7%7.3% short
Kill/death ratio1.031.031.05meets
Match win rate46.2%45.2%45.7%meets

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGRostFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER22,023 · Pink 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

Aim66
Positioning62
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLWLTWWWWLL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −6.0pp headshot accuracy · +43ms reaction

Win rate up 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 587ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 587ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 565ms

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 (+2.2 against its own average).

Aim6.6
Utility4.7
Positioning6.2
Opening Duels3.4
Clutch1.6

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

jL

Plays most like jL 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 75% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 75% on T to 43% on CT — first contacts on the defending side are being lost.

Reaction time. 585ms 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

Aim6.6
Positioning6.2
Utility4.7
Mechanics5.6
Opening Duels6.7
Win Impact3.3

Composite 5.9/10 (Solid), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time584ms+23ms
first ⅓ avg 561ms → last ⅓ avg 584ms
Headshot accuracy17.6%−1.0%
first ⅓ avg 18.6% → last ⅓ avg 17.6%

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

0.17Best match rating · 13–6 · inferno, 13 Aug →
38%Best headshot accuracy · 13–4 · office, 2 Sept →
359msFastest reaction time · 7–13 · office, 20 Aug →
13–3Biggest win · mirage, 7 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–4In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 64% over 14mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
anubisC207–1335%0.03
nukeC197–1237%-0.01
infernoA1710–759%0.01
ancientA149–564%0.01
cacheC104–640%0.00
mirageD72–529%-0.00
dust2A74–357%0.01
vertigo—33–0100%0.03
office—31–233%0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,279Lifetime kills
1.03K/D
4,788Matches
46.2%Match win rate · Top 50% of Level 6 players
49.9%Headshot % · Top 50% of Level 6 players
5.4%Shot accuracy
12,354MVPs
1,793Hours (in match)
1,345Bombs planted
1,259Bombs defused

Most-used weapons

AK-4724,460
XM10145,908
AWP5,146
SSG 082,779
P2502,413

Lifetime map wins

4,637inferno
4,543nuke
4,008vertigo
3,276dust2
2,957office
854train
395italy
74militia

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

Faceit stats

Combat

275Matches
51%Win rate
1.10Avg K/D
93.1ADR
56%Headshot %

Clutches & streaks

28%1v1 clutch win
28%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis6453%1.1117.3
Mirage4657%1.0117.4
Vertigo3956%1.1618.7
Nuke3855%1.1519.4
Ancient3333%1.0816.7
Inferno3247%1.1719.2
Dust21747%1.0017.4
Cache450%1.0312.8

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.

17.4%Headshot accuracy
34.7%Accuracy (enemy spotted)
38.8%Spray accuracy
75.0%Counter-strafing
10.3°Preaim
585msReaction time
75.0%T opening success
43.2%CT opening success
0.62Enemies flashed / flash
2.4%Flash assists
9.21HE damage / grenade
5.53Flashes / match

Recommended for you

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.028%26 Oct →
ancient13–40.0210%26 Oct →
cache9–13-0.0613%26 Oct →
anubis15–150.0516%20 Oct →
nuke13–4-0.039%10 Oct →
mirage13–5-0.0224%28 Sept →
nuke13–40.0420%28 Sept →
vertigo13–110.0420%25 Sept →
anubis7–130.1413%25 Sept →
mirage10–13-0.0221%25 Sept →
anubis14–16-0.0514%18 Sept →
dust29–130.0719%18 Sept →
inferno9–13-0.0421%18 Sept →
inferno2–13-0.0230%16 Sept →
cache10–130.0622%16 Sept →
ancient7–13-0.0232%16 Sept →
cache13–110.0215%15 Sept →
mirage1–13-0.0619%15 Sept →
inferno11–130.0623%15 Sept →
anubis13–70.0120%14 Sept →
ancient13–50.0136%14 Sept →
anubis13–50.0528%14 Sept →
ancient7–100.0522%14 Sept →
inferno13–11-0.049%14 Sept →
anubis11–130.0214%13 Sept →
ancient13–100.0110%13 Sept →
ancient16–140.0512%13 Sept →
cache3–13-0.0616%13 Sept →
nuke13–50.0210%13 Sept →
ancient12–16-0.0710%12 Sept →
vertigo9–20.0416%11 Sept →
mirage5–130.0320%11 Sept →
dust27–13-0.0810%11 Sept →
nuke13–110.0614%11 Sept →
dust24–13-0.0110%11 Sept →
ancient13–110.0212%10 Sept →
mirage12–120.0416%10 Sept →
inferno16–130.0320%9 Sept →
nuke3–13-0.0414%9 Sept →
anubis13–9-0.0125%9 Sept →
nuke13–7-0.0133%9 Sept →
inferno13–110.0220%9 Sept →
cache10–130.0612%8 Sept →
anubis13–90.1014%8 Sept →
nuke12–12-0.0222%8 Sept →
ancient13–50.0116%8 Sept →
anubis13–16-0.0410%8 Sept →
inferno13–60.0213%8 Sept →
anubis8–13-0.0117%7 Sept →
cache16–130.0217%7 Sept →
anubis5–130.0817%7 Sept →
mirage13–30.0411%7 Sept →
inferno4–130.006%7 Sept →
inferno16–130.0417%7 Sept →
nuke13–8-0.0218%7 Sept →
inferno13–10-0.0511%7 Sept →
anubis13–70.0215%7 Sept →
anubis13–90.0713%3 Sept →
ancient13–11-0.0317%2 Sept →
ancient4–0-0.0214%2 Sept →
anubis10–130.0112%2 Sept →
ancient13–60.058%2 Sept →
office13–40.0538%2 Sept →
dust213–11-0.0321%2 Sept →
inferno16–130.0314%28 Aug →
inferno14–160.0114%28 Aug →
nuke5–13-0.0724%28 Aug →
nuke13–160.0414%26 Aug →
vertigo16–140.0130%26 Aug →
ancient10–130.0429%26 Aug →
nuke13–6-0.0412%26 Aug →
anubis13–60.0213%26 Aug →
office7–130.0927%20 Aug →
anubis9–130.0215%19 Aug →
dust213–90.1211%19 Aug →
office12–120.1122%14 Aug →
inferno6–13-0.0329%13 Aug →
nuke1–13-0.0113%13 Aug →
anubis6–13-0.017%13 Aug →
cache1–13-0.099%13 Aug →
inferno13–60.1721%13 Aug →
inferno13–40.0318%13 Aug →
anubis4–130.0220%9 Aug →
nuke3–13-0.0215%9 Aug →
nuke2–13-0.0524%7 Aug →
nuke8–13-0.0110%6 Aug →
ancient9–130.0324%6 Aug →
nuke15–150.0115%6 Aug →
dust213–50.0331%6 Aug →
cache12–120.0518%6 Aug →
inferno8–13-0.0022%5 Aug →
nuke1–13-0.0620%5 Aug →
cache13–80.0321%5 Aug →
cache13–70.0026%5 Aug →
inferno13–10-0.0015%5 Aug →
nuke8–130.0219%2 Aug →
anubis7–130.0115%2 Aug →
dust213–11-0.0613%2 Aug →
anubis12–160.0915%31 Jul →
nuke6–130.0422%31 Jul →

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 →

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