razor21

razor21 — CS2 Stats

76561198257881378[U:1:297615650]Steam profile ↗✓ No bans

229Tracked matches83%Win rate2023Tracked since
CSDB Rating6.7 SolidAll-Rounder
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Performance scores

Aim72
Positioning57
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY57–35–8Last 10057%Win rateLWWWWWWTLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −3.6pp headshot accuracy · −31ms reaction

Win rate down 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

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 692ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 643ms

Last 20

  • 17–2–1 · 85% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 659ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.2
Utility5.5
Positioning5.7
Opening Duels5.9

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

m0NESY

Plays most like m0NESY 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 674ms 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

Aim7.2
Positioning5.7
Utility5.5
Mechanics6.8
Opening Duels5.6
Win Impact10.0

Composite 6.7/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time677ms+18ms
first ⅓ avg 659ms → last ⅓ avg 677ms
Headshot accuracy19.8%−0.4%
first ⅓ avg 20.2% → last ⅓ avg 19.8%

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

0.18Best match rating · 6–13 · dust2, 25 Mar →
46%Best headshot accuracy · 13–3 · alpine, 22 Jan →
500msFastest reaction time · 14–16 · inferno, 22 Feb →
13–0Biggest win · vertigo, 6 Feb →

Across the last 100 tracked matches.

Highlights

13Longest win streak
9–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 86% over 7anubisWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A2514–1156%0.03
vertigoS1913–668%0.01
anubisD81–713%-0.02
cacheS76–186%0.05
poseidonA74–357%0.05
overpassA53–260%0.02
infernoD51–420%-0.05
office—44–0100%0.09
warden—41–325%0.01
ancient—31–233%0.00
alpine—33–0100%0.02
train—22–0100%0.03
nuke—20–20%0.01
fachwerk—11–0100%0.00
mirage—11–0100%0.03
sanctum—10–10%0.06
stronghold—11–0100%-0.09
golden—11–0100%0.03
palacio—10–10%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.5%Headshot accuracy
39.1%Accuracy (enemy spotted)
39.7%Spray accuracy
80.6%Counter-strafing
10.1°Preaim
674msReaction time
57.6%T opening success
47.6%CT opening success
0.59Enemies flashed / flash
3.6%Flash assists
11.74HE damage / grenade
6.96Flashes / match

Recommended for you

Spend your practice time on Anubis

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0523%14 Jul →
fachwerk13–30.0033%14 Jul →
cache13–7-0.0818%6 Jul →
vertigo13–6-0.056%7 Jun →
vertigo13–10.0514%7 Jun →
vertigo13–110.0223%7 Jun →
vertigo13–10.0831%7 Jun →
vertigo12–12-0.104%7 Jun →
cache10–130.0815%7 May →
cache13–30.1523%6 May →
cache13–110.0219%4 May →
cache13–30.1217%4 May →
cache13–100.1016%29 Apr →
cache13–11-0.0116%29 Apr →
dust213–90.0126%27 Apr →
train13–110.0119%23 Apr →
dust213–110.0521%23 Apr →
train13–110.0529%23 Apr →
dust213–20.0432%16 Apr →
dust213–10-0.0031%16 Apr →
dust213–5-0.0521%16 Apr →
vertigo13–110.0013%9 Apr →
dust25–130.0122%8 Apr →
mirage16–140.0317%7 Apr →
dust213–40.0720%7 Apr →
dust24–13-0.0220%7 Apr →
dust213–60.1217%6 Apr →
dust26–130.0015%6 Apr →
anubis13–5-0.0314%6 Apr →
dust213–50.1517%2 Apr →
dust213–30.0528%1 Apr →
ancient13–8-0.0118%1 Apr →
anubis6–13-0.0215%1 Apr →
overpass13–90.0215%30 Mar →
dust213–100.0324%29 Mar →
nuke8–130.0011%29 Mar →
dust213–80.0313%26 Mar →
dust26–130.1813%25 Mar →
dust23–10-0.0736%25 Mar →
office13–8-0.0110%23 Mar →
office13–40.1127%19 Mar →
warden13–90.0122%16 Mar →
alpine13–70.0914%16 Mar →
dust28–20.0738%12 Mar →
overpass6–130.0330%12 Mar →
dust211–130.0123%9 Mar →
poseidon3–9-0.139%9 Mar →
inferno9–13-0.0719%6 Mar →
dust25–13-0.0813%6 Mar →
ancient2–13-0.0020%6 Mar →
ancient10–130.0327%3 Mar →
dust26–13-0.0515%3 Mar →
poseidon9–30.0622%2 Mar →
anubis0–2-0.120%1 Mar →
overpass6–13-0.0415%1 Mar →
vertigo10–130.0414%1 Mar →
poseidon9–40.1425%26 Feb →
poseidon9–60.1320%26 Feb →
poseidon8–80.0516%26 Feb →
poseidon6–9-0.0231%26 Feb →
vertigo3–13-0.1021%22 Feb →
vertigo12–12-0.0025%22 Feb →
inferno14–16-0.0813%22 Feb →
dust213–90.0815%20 Feb →
sanctum8–80.0628%14 Feb →
poseidon9–60.1314%14 Feb →
vertigo13–9-0.0014%13 Feb →
dust213–10.0923%10 Feb →
vertigo13–00.0020%6 Feb →
vertigo13–10.1329%6 Feb →
vertigo13–4-0.0215%6 Feb →
vertigo13–30.0111%6 Feb →
inferno13–30.0720%6 Feb →
dust22–130.0116%6 Feb →
inferno8–13-0.0516%5 Feb →
anubis6–13-0.0513%5 Feb →
anubis3–80.0310%5 Feb →
dust212–12-0.0422%4 Feb →
anubis12–120.0616%3 Feb →
alpine13–3-0.0422%3 Feb →
inferno6–9-0.1014%3 Feb →
nuke6–90.0129%3 Feb →
anubis9–130.0122%29 Jan →
warden12–120.0326%29 Jan →
warden6–13-0.0117%28 Jan →
anubis11–13-0.037%24 Jan →
warden12–120.0224%22 Jan →
stronghold5–5-0.098%22 Jan →
alpine13–30.0246%22 Jan →
office13–100.1122%22 Jan →
office13–20.1629%21 Jan →
golden13–100.0324%18 Jan →
vertigo13–80.0318%18 Jan →
palacio3–13-0.0223%18 Jan →
vertigo11–13-0.0324%17 Jan →
vertigo9–13-0.0721%17 Jan →
vertigo13–30.1016%17 Jan →
vertigo13–3-0.0123%17 Jan →
overpass13–100.0423%14 Jan →
overpass13–60.0319%14 Jan →

Match data via Leetify.

Recent teammates

Milestones

100 Matches13-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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