Mathis | 45 — CS2 Stats

76561198276005426[U:1:315739698]

593Tracked matches55%Win rate2023Tracked since
817Hours in CS6Hrs last 2 wks
CSDB Rating4.5 Developing
Ladder ranks via Leetify

Performance scores

Aim44
Positioning32
Utility51

0–100 skill scores via Leetify.

Recent form

COLD48466Last 10048%Win rateLLLLWLLLTL

Last 10 vs previous 10: -70pp win rate · -0.00 avg rating

Player DNA

Aim4.4
Aggression1.6
Utility5.1
Positioning3.2
Opening Duels0.0

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 72% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 35% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 713ms 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

Aim4.4
Positioning3.2
Utility5.1
Mechanics7.0
Opening Duels0.6
Win Impact6.7

Composite 4.5/10 (Developing), 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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time708ms+39ms
first ⅓ avg 669ms → last ⅓ avg 708ms
Headshot accuracy13.0%−0.4%
first ⅓ avg 13.4% → last ⅓ avg 13.0%

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

0.10Best rating — cache 13–5
130Biggest win — overpass
7Longest win streak
L4Current streak
57In matches decided by ≤2 rounds

Map breakdown

ancientBest map · 75% over 8nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2D2481633%0.00
cacheA148657%0.01
infernoB126650%-0.01
nukeD103730%-0.00
mirageC94544%-0.03
ancientS86275%-0.00
overpassA53260%0.01
anubisA53260%-0.01
office43175%0.04
vertigo31233%-0.04
train2020%0.01
warden220100%0.08
fachwerk1010%-0.05
alpine110100%0.05

Across the last 100 tracked matches.

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

Lifetime stats

22,724Lifetime kills
0.88K/D
1,533Matches
42.4%Match win rate
38.7%Headshot %
3.3%Shot accuracy
1,918MVPs
457Hours (in match)
651Bombs planted
163Bombs defused

Most-used weapons

Lifetime map wins

2,963dust2
1,247nuke
1,003inferno
646vertigo
424train
307office
39italy

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

Skill profile

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

13.7%Headshot accuracy
34.7%Accuracy (enemy spotted)
36.0%Spray accuracy
81.5%Counter-strafing
12.4°Preaim
713msReaction time
18.2%T opening success
34.5%CT opening success
0.56Enemies flashed / flash
6.9%Flash assists
5.68HE damage / grenade
10.53Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.4338° — above the 12° mark we flag

    Aim Training
  2. 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 13.6915% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 712.6285ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Nuke

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.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0125%28 Aug
dust27–13-0.0527%28 Aug
cache2–13-0.023%27 Aug
mirage8–13-0.047%27 Aug
overpass13–00.067%27 Aug
inferno1–13-0.075%24 Aug
fachwerk8–13-0.059%23 Aug
dust210–13-0.0510%23 Aug
dust212–120.017%22 Aug
ancient9–13-0.0316%22 Aug
dust213–9-0.1111%9 Aug
inferno13–3-0.033%9 Aug
ancient13–90.0015%29 Jul
mirage13–90.0029%29 Jul
cache13–100.0314%26 Jul
dust213–11-0.0413%6 Jul
overpass13–6-0.0115%6 Jul
nuke7–13-0.0610%6 Jul
train10–130.0422%4 Jul
anubis13–5-0.030%1 Jul
inferno10–13-0.0810%1 Jul
dust213–6-0.0019%30 Jun
anubis13–10-0.0310%25 Jun
anubis5–13-0.0310%25 Jun
dust213–10.075%25 Jun
inferno13–11-0.0322%25 Jun
mirage13–40.0019%23 Jun
dust211–13-0.0726%23 Jun
nuke13–10-0.0413%23 Jun
cache13–70.0111%14 Jun
vertigo12–12-0.057%14 Jun
anubis13–90.0521%28 May
ancient13–40.028%24 May
dust210–13-0.0110%24 May
warden8–30.0719%24 May
cache13–90.0113%21 May
nuke7–13-0.046%21 May
cache6–13-0.0512%10 May
vertigo10–8-0.0636%10 May
cache10–13-0.047%10 May
mirage2–13-0.0614%10 May
mirage6–13-0.0321%10 May
dust25–130.0016%10 May
cache13–50.1015%7 May
cache13–90.0113%7 May
office13–50.0715%4 May
cache11–13-0.0313%30 Apr
cache8–2-0.0018%30 Apr
cache13–110.0920%30 Apr
cache13–20.0711%30 Apr
cache8–13-0.028%28 Apr
cache4–13-0.0712%28 Apr
ancient13–70.0312%26 Apr
mirage5–13-0.029%25 Apr
dust212–12-0.048%25 Apr
inferno13–60.097%25 Apr
dust211–130.0827%25 Apr
inferno6–13-0.0513%22 Apr
dust25–130.0124%22 Apr
dust213–9-0.0214%19 Apr
inferno9–13-0.0416%19 Apr
inferno13–50.048%9 Apr
dust211–13-0.004%7 Apr
nuke13–80.053%7 Apr
nuke7–130.0111%7 Apr
dust210–130.0217%7 Apr
dust213–100.0120%5 Apr
overpass7–13-0.0321%3 Apr
warden4–00.080%3 Apr
nuke13–40.049%3 Apr
mirage13–5-0.098%3 Apr
ancient11–30.048%3 Apr
nuke7–130.009%3 Apr
dust24–130.0110%3 Apr
dust213–70.0021%3 Apr
alpine13–40.0512%1 Apr
anubis12–12-0.036%1 Apr
overpass13–30.0812%25 Mar
overpass11–13-0.0810%25 Mar
mirage5–40.0311%25 Mar
dust210–130.0215%25 Mar
mirage7–13-0.0322%25 Mar
vertigo8–13-0.0210%25 Mar
ancient13–90.0518%24 Mar
dust212–120.0611%23 Mar
train12–12-0.035%23 Mar
dust213–60.0515%23 Mar
nuke8–130.0620%21 Mar
inferno13–7-0.0110%21 Mar
dust211–130.0114%18 Mar
inferno13–50.0312%18 Mar
ancient13–10-0.1018%18 Mar
office13–50.0428%18 Mar
office13–80.0422%18 Mar
inferno5–100.032%17 Mar
dust29–130.0713%17 Mar
nuke9–13-0.0620%17 Mar
inferno2–13-0.0120%15 Mar
nuke7–13-0.0124%15 Mar
office9–130.027%11 Mar

Match data via Leetify.

Recent teammates

Milestones

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