Razenshard — CS2 Stats

76561198195209803[U:1:234944075]

432Tracked matches50%Win rate2022Tracked since
CSDB Rating5.6 SolidPassive Rifler
Premier CS Rating15,632Purple band · top ~25.9% of ranked players (population est.)
CSDB Leaderboard#9051 of 14339 tracked
FaceitLevel 5 · 1,146 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGRazenshardFACEITLevel 5 · 1,146 ELOSTANDINGTop 67.6% of rankedPREMIER15,632 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning42
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY58384Last 10058%Win rateWLWLWLLWWW

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.5
Aggression4.0
Utility5.3
Positioning4.2
Opening Duels0.5
Clutch0.6

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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Reaction time. 596ms 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

Aim7.5
Positioning4.2
Utility5.3
Mechanics8.0
Opening Duels0.5
Win Impact5.0

Composite 5.6/10 (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 rating0.00−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time601ms−31ms
first ⅓ avg 632ms → last ⅓ avg 601ms
Headshot accuracy14.9%+1.9%
first ⅓ avg 13.0% → last ⅓ avg 14.9%

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.

Highlights

0.17Best rating — dust2 13–3
132Biggest win — anubis
7Longest win streak
115In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 75% over 12infernoWeakest map · 48% over 25
MapGradePlayedRecordWin rateAvg rating
infernoB25121348%-0.00
mirageB25121348%-0.00
ancientA149564%0.01
dust2S129375%0.04
anubisA74357%0.01
nukeS75271%0.00
train440100%0.04
cache42250%0.01
vertigo1010%-0.02
overpass110100%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (48% over 25). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

40Matches
50%Win rate
1.46Avg K/D
87.0ADR
35%Headshot %

Clutches & streaks

23%1v1 clutch win
35%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1164%1.9214.4
Dust21136%1.2818.6
Inferno650%1.5922.3
Ancient450%1.0614.5
Train3100%1.8015.7
Anubis20%0.8213.5
Overpass10%0.569.0

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.

14.3%Headshot accuracy
39.2%Accuracy (enemy spotted)
42.0%Spray accuracy
86.0%Counter-strafing
11.0°Preaim
596msReaction time
31.5%T opening success
32.2%CT opening success
0.68Enemies flashed / flash
8.0%Flash assists
4.64HE damage / grenade
7.37Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.3419% — below the 15% mark we flag

    Aim Training
  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 31.4859% — below the 40% mark we flag

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.

48% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–40.0124%28 May
inferno4–120.0116%23 May
anubis13–80.058%23 May
mirage7–13-0.0010%23 May
mirage13–80.028%21 May
ancient9–13-0.077%21 May
nuke8–13-0.0424%16 May
mirage13–110.017%16 May
dust213–7-0.0317%16 May
inferno13–10-0.0033%16 May
mirage13–50.0216%16 May
inferno5–13-0.0222%15 May
mirage2–13-0.0525%14 May
dust213–30.1732%14 May
inferno13–110.018%14 May
train13–11-0.0811%13 May
anubis13–20.023%13 May
mirage7–13-0.038%8 May
inferno0–5-0.0925%3 May
cache13–40.1418%3 May
inferno4–13-0.039%2 May
dust24–13-0.0117%2 May
inferno11–13-0.023%1 May
anubis5–13-0.0318%1 May
mirage13–80.0411%1 May
inferno13–11-0.0317%1 May
inferno11–130.0022%1 May
cache5–130.0314%1 May
mirage13–100.049%30 Apr
ancient7–130.067%30 Apr
ancient14–160.0013%30 Apr
ancient9–13-0.0310%30 Apr
cache0–9-0.0321%30 Apr
cache13–9-0.0820%29 Apr
mirage12–12-0.0211%26 Apr
anubis13–110.008%26 Apr
inferno13–90.0112%26 Apr
dust213–70.0514%26 Apr
ancient4–13-0.0112%26 Apr
inferno3–13-0.047%25 Apr
ancient13–7-0.0013%25 Apr
mirage13–110.0611%25 Apr
nuke13–9-0.0410%24 Apr
mirage7–13-0.037%24 Apr
ancient13–11-0.029%24 Apr
nuke13–50.0524%24 Apr
dust29–13-0.0122%24 Apr
mirage10–13-0.068%19 Apr
anubis7–130.0210%19 Apr
inferno13–8-0.042%19 Apr
inferno1–13-0.0413%18 Apr
anubis13–6-0.0413%18 Apr
train13–50.1115%18 Apr
vertigo12–12-0.0226%18 Apr
inferno13–16-0.0221%18 Apr
inferno13–80.0313%18 Apr
ancient13–30.045%17 Apr
mirage4–13-0.0520%17 Apr
mirage13–100.0714%12 Apr
nuke13–11-0.0111%12 Apr
ancient13–110.012%12 Apr
inferno7–13-0.096%12 Apr
anubis7–130.029%12 Apr
mirage13–6-0.0111%12 Apr
inferno13–100.128%11 Apr
inferno13–50.1013%11 Apr
nuke6–13-0.064%11 Apr
inferno7–13-0.0319%3 Apr
inferno13–6-0.0116%3 Apr
nuke13–4-0.007%12 Dec
mirage4–00.030%11 Dec
dust28–130.0416%8 Dec
ancient13–20.023%9 Nov
train13–30.0613%9 Nov
dust213–100.0517%9 Nov
dust213–60.0315%9 Nov
ancient13–60.0119%9 Nov
nuke13–70.1014%8 Nov
overpass13–90.0713%8 Nov
inferno10–130.0415%8 Nov
dust213–50.0715%8 Nov
mirage7–13-0.0514%18 Oct
mirage11–13-0.0310%18 Oct
ancient13–10-0.008%18 Oct
mirage4–13-0.0711%17 Oct
ancient13–90.058%14 Oct
inferno13–80.0412%11 Oct
mirage13–110.0522%11 Oct
mirage13–100.0015%7 Oct
mirage14–160.0320%5 Oct
inferno15–150.078%5 Oct
mirage15–15-0.0113%4 Oct
dust213–110.0515%4 Oct
mirage13–10-0.0315%4 Oct
inferno13–9-0.0114%2 Oct
dust213–80.038%1 Oct
train13–40.0716%1 Oct
dust213–60.0814%30 Sept
ancient13–60.068%28 Sept
mirage10–130.0417%28 Sept

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →