MOUNTAIN

MOUNTAIN — CS2 Stats

FI76561198191596435[U:1:231330707]Steam profile ↗✓ No bans

2,754Tracked matches52%Win rate2020Tracked since
CSDB Rating8.3 StrongPositional Player
Premier CS Rating26,549Top 5% of 204,793 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)
CSDB Leaderboard#8817 of 251993 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (yesterday). 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: 26,549 +161 30 Aug – 14 Oct · 30 days played
25,09227,334peak 27,33430 Aug14 Oct
Faceit ELO: 2,304 +0 1 Sept – 3 Oct · 3 observations
2,3042,304peak 2,3041 Sept3 Oct
27,334Peak Premier in tracked matches
2,304Highest Faceit ELO seen on CSDB
28Days played since 2026-08-30

Faceit ELO

  • At peak — 2,304
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 196 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier CS Rating

  • 785 below peak (27,334)
  • +861 over 30 days · improving
  • Next: Gold band at 30,000 — 3,451 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-01
  • Pink band first seen 2026-09-01

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.

Share this profile

CSDB.GGMOUNTAINPREMIER26,549 · Red band30 DAYS0 ELOPEAK ELO2,304csdb.gg/stats

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Performance scores

Aim91
Positioning84
Utility57

0–100 skill scores via Leetify.

Recent form

COLD51–46–3Last 10051%Win rateLLLWWLLLWL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −8.3pp headshot accuracy · −6ms reaction

Win rate down 40pp 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 18%
  • Avg reaction 548ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 537ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 540ms

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 against its own average).

Aim9.1
Utility5.7
Positioning8.4
Opening Duels7.4
Clutch4.0

Sharp aimerLimited utility dependenceStrong positioning

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 83% playstyle similarity

Most alike: positioning profile, 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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 64% 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.

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

Aim9.1
Positioning8.4
Utility5.7
Mechanics8.3
Opening Duels8.3
Win Impact5.6

Composite 8.3/10 (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 rating0.03−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time527ms+20ms
first ⅓ avg 506ms → last ⅓ avg 527ms
Headshot accuracy21.9%−3.7%
first ⅓ avg 25.7% → last ⅓ avg 21.9%

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

0.16Best match rating · 13–0 · cache, 4 Sept →
41%Best headshot accuracy · 13–10 · dust2, 10 Sept →
367msFastest reaction time · 13–11 · dust2, 10 Sept →
13–0Biggest win · cache, 4 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
9–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 60% over 10infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A3117–1455%0.03
cacheB2010–1050%0.03
mirageB136–746%0.01
infernoD103–730%-0.01
anubisA106–460%0.03
ancientB105–550%0.04
nukeA53–260%0.07
overpass—11–0100%0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

993Matches
52%Win rate
1.40Avg K/D
91.7ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
26%1v2 clutch win
14Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust219158%1.5420.1
Ancient16249%1.3619.6
Inferno14550%1.3619.1
Anubis12852%1.3118.3
Mirage4441%1.2418.6
Overpass4353%1.5118.9
Nuke2446%1.1417.8
Vertigo956%1.1818.0

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.

21.9%Headshot accuracy
38.6%Accuracy (enemy spotted)
39.7%Spray accuracy
87.5%Counter-strafing
7.6°Preaim
536msReaction time
63.6%T opening success
62.6%CT opening success
0.66Enemies flashed / flash
11.1%Flash assists
7.76HE damage / grenade
4.08Flashes / match

Recommended for you

Spend your practice time on Inferno

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno3–13-0.0613%14 Oct →
cache8–130.0127%12 Oct →
mirage9–13-0.0117%12 Oct →
dust213–11-0.0420%11 Oct →
anubis13–30.0315%11 Oct →
mirage7–13-0.0219%11 Oct →
ancient8–130.0118%10 Oct →
cache11–130.0617%10 Oct →
nuke13–90.1220%10 Oct →
dust211–130.0616%10 Oct →
mirage13–60.0122%9 Oct →
anubis13–60.0723%9 Oct →
dust213–110.0431%8 Oct →
inferno10–13-0.0628%8 Oct →
dust211–130.0132%6 Oct →
cache13–80.0429%6 Oct →
mirage13–110.0024%5 Oct →
cache13–20.0633%5 Oct →
dust213–50.0323%5 Oct →
ancient6–130.0521%2 Oct →
dust213–80.1133%2 Oct →
nuke5–130.0431%2 Oct →
cache5–13-0.0114%2 Oct →
anubis7–130.029%2 Oct →
mirage13–10-0.0021%1 Oct →
nuke13–40.1316%1 Oct →
cache13–110.0815%1 Oct →
inferno13–90.0223%1 Oct →
dust213–160.0222%1 Oct →
nuke15–150.0324%30 Sept →
cache6–13-0.0022%30 Sept →
mirage8–13-0.0320%30 Sept →
dust213–60.0528%30 Sept →
inferno1–13-0.0738%30 Sept →
cache13–70.0232%28 Sept →
dust23–13-0.0435%28 Sept →
ancient13–50.0328%28 Sept →
inferno13–100.0019%28 Sept →
overpass9–60.1316%26 Sept →
dust213–40.0627%26 Sept →
cache13–50.0019%15 Sept →
dust213–10-0.0218%15 Sept →
cache13–110.0121%13 Sept →
inferno6–130.0322%13 Sept →
nuke13–70.0321%13 Sept →
ancient13–60.0414%13 Sept →
mirage10–130.0427%13 Sept →
dust29–13-0.0225%13 Sept →
dust213–100.0423%12 Sept →
dust213–100.0222%12 Sept →
cache10–13-0.0325%12 Sept →
mirage8–130.0220%12 Sept →
inferno8–80.0331%12 Sept →
cache13–80.0022%12 Sept →
anubis13–20.0115%12 Sept →
inferno11–13-0.0338%11 Sept →
dust214–16-0.0224%11 Sept →
cache13–40.0428%11 Sept →
anubis13–80.0826%11 Sept →
dust24–13-0.0026%11 Sept →
dust213–100.0841%10 Sept →
dust28–130.0321%10 Sept →
dust213–11-0.0626%10 Sept →
mirage10–130.0415%9 Sept →
dust213–100.0618%9 Sept →
dust216–130.0626%9 Sept →
cache7–13-0.0128%9 Sept →
ancient8–130.0324%8 Sept →
dust213–60.0636%8 Sept →
cache13–90.0833%8 Sept →
mirage13–100.0018%7 Sept →
ancient3–13-0.0029%7 Sept →
dust24–13-0.0030%7 Sept →
cache8–13-0.0233%7 Sept →
dust213–110.0918%6 Sept →
dust24–13-0.0123%6 Sept →
ancient7–130.0420%6 Sept →
inferno7–130.0540%5 Sept →
cache5–13-0.0134%5 Sept →
dust28–130.0638%5 Sept →
dust213–110.0428%4 Sept →
dust25–13-0.0229%4 Sept →
dust213–80.1122%4 Sept →
cache13–00.1621%4 Sept →
anubis11–130.0025%4 Sept →
mirage16–14-0.0317%3 Sept →
anubis13–80.0524%3 Sept →
dust28–13-0.0123%3 Sept →
mirage13–30.0934%2 Sept →
anubis13–10-0.0023%2 Sept →
ancient13–60.0527%2 Sept →
dust215–150.0432%2 Sept →
cache10–130.0233%2 Sept →
anubis3–130.0127%2 Sept →
anubis11–130.0020%31 Aug →
ancient13–80.0920%31 Aug →
inferno13–50.0216%31 Aug →
cache8–130.0518%31 Aug →
mirage13–160.0116%30 Aug →
ancient13–100.0916%30 Aug →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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