Matterhorn — CS2 Stats

76561198403798445[U:1:443532717]

1,027Tracked matches50%Win rate2021Tracked since
CSDB Rating6.2 SolidAggressive Rifler
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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

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Performance scores

Aim88
Positioning51
Utility43

0–100 skill scores via Leetify.

Recent form

COLD44497Last 10044%Win rateLLTLWLWWLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.8
Aggression7.5
Utility4.3
Positioning5.1
Opening Duels2.7
Clutch1.8

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

ropz

Plays most like ropz 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower 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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

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.

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

Aim8.8
Positioning5.1
Utility4.3
Mechanics7.3
Opening Duels2.7
Win Impact5.0

Composite 6.2/10 (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 rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time537ms−65ms
first ⅓ avg 602ms → last ⅓ avg 537ms
Headshot accuracy28.7%+0.3%
first ⅓ avg 28.4% → last ⅓ avg 28.7%

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.

Highlights

0.15Best rating — dust2 11–13
130Biggest win — dust2
5Longest win streak
L2Current streak
410In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 46% over 71infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B71333846%0.00
mirageB115645%-0.03
infernoD71614%-0.02
ancient31233%-0.00
nuke31233%0.00
anubis32167%0.06
overpass21150%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

25Matches
56%Win rate
1.26Avg K/D
90.7ADR
54%Headshot %

Clutches & streaks

29%1v1 clutch win
21%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1040%0.9815.7
Vertigo475%2.2116.8
Anubis3100%1.2321.7
Nuke367%1.1912.0
Dust2333%1.4014.3
Inferno250%0.7210.5

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.

27.2%Headshot accuracy
33.8%Accuracy (enemy spotted)
36.9%Spray accuracy
83.0%Counter-strafing
7.5°Preaim
541msReaction time
41.7%T opening success
40.1%CT opening success
0.56Enemies flashed / flash
2.9%Flash assists
8.63HE damage / grenade
7.28Flashes / 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.098%23 Aug
inferno14–16-0.0511%23 Aug
dust212–120.0741%16 Aug
mirage1–13-0.0745%9 Aug
dust213–4-0.0523%9 Aug
dust28–13-0.0615%9 Aug
ancient13–80.0325%9 Aug
dust213–0-0.0418%9 Aug
mirage6–13-0.0317%9 Aug
mirage8–130.0320%8 Aug
mirage13–100.0032%8 Aug
dust28–00.0455%8 Aug
dust213–80.0445%26 Jul
dust28–13-0.0539%26 Jul
dust211–13-0.0142%25 Jul
dust210–13-0.0219%29 Jun
dust213–5-0.0329%28 Jun
dust213–5-0.0335%21 Jun
dust210–13-0.0067%21 Jun
mirage4–13-0.0418%21 Jun
dust27–13-0.0318%21 Jun
dust27–13-0.0314%21 Jun
dust212–12-0.0132%20 Jun
dust213–90.0636%6 Jun
nuke13–10-0.0225%6 Jun
dust210–13-0.048%6 Jun
dust213–9-0.0121%6 Jun
dust212–70.0124%1 Jun
dust213–7-0.0026%1 Jun
dust213–40.0528%31 May
dust213–40.0536%31 May
dust211–13-0.0428%30 May
dust213–30.0348%30 May
nuke3–130.0422%29 May
dust22–130.0317%29 May
anubis16–130.0219%29 May
inferno8–13-0.0318%29 May
dust29–13-0.0319%29 May
mirage13–6-0.0137%29 May
mirage13–10-0.0414%28 May
dust211–13-0.0029%28 May
mirage13–60.0641%28 May
dust213–80.0726%28 May
dust213–50.0115%28 May
dust23–13-0.0320%28 May
dust210–130.0130%10 May
dust23–130.0135%10 May
dust213–100.0028%10 May
inferno10–13-0.0219%10 May
dust212–12-0.0421%10 May
dust213–4-0.0215%10 May
nuke15–15-0.0027%6 May
dust26–13-0.0531%6 May
mirage13–9-0.0620%6 May
dust210–13-0.0340%6 May
dust212–12-0.0116%27 Apr
dust213–60.0026%27 Apr
ancient8–13-0.0113%9 Apr
dust26–13-0.0335%9 Apr
inferno13–6-0.0326%9 Apr
dust213–100.0025%8 Apr
anubis15–150.0719%8 Apr
dust213–60.0726%8 Apr
dust28–13-0.0329%3 Apr
dust213–90.0422%2 Apr
dust212–120.0019%2 Apr
dust211–130.0318%1 Apr
dust213–30.0436%28 Mar
dust211–130.1532%27 Mar
dust23–130.0121%27 Mar
dust213–8-0.0316%21 Mar
dust213–6-0.0525%21 Mar
inferno7–90.1024%17 Mar
inferno3–9-0.0421%17 Mar
anubis13–60.0846%14 Mar
overpass11–13-0.0526%14 Mar
dust26–13-0.0039%13 Mar
dust213–80.0430%13 Mar
inferno9–13-0.0715%7 Mar
dust213–11-0.0428%7 Mar
dust28–13-0.0430%7 Mar
dust210–130.0317%7 Mar
dust213–70.0322%6 Mar
dust23–13-0.0732%6 Mar
dust29–13-0.0252%6 Mar
dust27–130.0630%6 Mar
dust25–13-0.0428%1 Mar
dust213–50.1236%13 Feb
dust26–13-0.0722%13 Feb
dust213–8-0.0032%8 Feb
dust213–20.0026%3 Feb
dust210–130.0326%2 Feb
dust213–70.0542%27 Jan
ancient2–13-0.0224%27 Jan
mirage11–13-0.0415%27 Jan
dust213–11-0.0428%26 Jan
dust213–11-0.0036%25 Jan
overpass16–140.0221%25 Jan
dust25–130.0039%25 Jan
dust210–130.0120%16 Jan

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 →