MithrA

MithrA — CS2 Stats

76561198167553199[U:1:207287471]Steam profile ↗

513Tracked matches41%Win rate2021Tracked since
CSDB Rating5.0 Developing
Premier CS Rating10,947Blue band · top ~49.9% of ranked players (population est.)
CSDB Leaderboard#28284 of 40003 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMithrAFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER10,947 · Blue bandcsdb.gg/stats

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Performance scores

Aim55
Positioning57
Utility56

0–100 skill scores via Leetify.

Recent form

COLD41527Last 10041%Win rateLLTWLLLWLL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Aim5.5
Aggression8.3
Utility5.6
Positioning5.7
Opening Duels4.3

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

donk

Plays most like donk 87% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

T-side openings. Opening success drops from 58% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 642ms 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

Aim5.5
Positioning5.7
Utility5.6
Mechanics6.4
Opening Duels4.3
Win Impact2.1

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time652ms−35ms
first ⅓ avg 687ms → last ⅓ avg 652ms
Headshot accuracy22.4%+1.3%
first ⅓ avg 21.0% → last ⅓ avg 22.4%

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

0.13Best rating — train 5–1
132Biggest win — cache
5Longest win streak
L2Current streak
34In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 53% over 30infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
cacheB30161453%-0.01
dust2C1881044%0.00
mirageD1541127%-0.00
nukeB105550%-0.01
ancientC73443%-0.03
infernoD71614%-0.02
trainC52340%-0.02
anubis42250%-0.02
vertigo3030%-0.05
overpass1010%-0.03

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

29Matches
45%Win rate
0.84Avg K/D
ADR
51%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage667%1.1811.0
Vertigo450%0.7711.5
Nuke250%1.0011.5
Overpass250%1.1818.5

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.

22.6%Headshot accuracy
30.1%Accuracy (enemy spotted)
27.7%Spray accuracy
78.9%Counter-strafing
10.0°Preaim
642msReaction time
36.5%T opening success
57.6%CT opening success
0.59Enemies flashed / flash
7.7%Flash assists
7.27HE damage / grenade
11.34Flashes / 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

    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 36.4899% — 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.

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
cache6–13-0.0423%29 Aug
cache2–130.0228%29 Aug
cache12–120.0119%29 Aug
dust213–70.0035%29 Aug
train5–13-0.0817%16 Aug
train6–13-0.1023%16 Aug
train2–13-0.0412%13 Aug
train5–10.1330%13 Aug
dust25–13-0.0323%13 Aug
anubis6–13-0.0513%11 Aug
nuke11–13-0.0525%10 Aug
mirage2–8-0.0727%10 Aug
ancient13–4-0.0423%9 Aug
ancient6–130.0329%9 Aug
train13–70.0025%7 Aug
cache13–60.0219%6 Aug
ancient13–50.0028%5 Aug
dust213–90.0614%5 Aug
dust213–5-0.0217%5 Aug
dust28–13-0.0130%3 Aug
cache11–6-0.0011%3 Aug
dust213–70.0727%3 Aug
dust213–30.0123%3 Aug
nuke4–13-0.0522%2 Aug
cache4–13-0.0626%2 Aug
cache9–13-0.0533%30 Jul
dust214–16-0.0123%29 Jul
inferno5–13-0.0215%29 Jul
mirage13–7-0.0531%29 Jul
ancient5–13-0.069%28 Jul
mirage9–13-0.0026%26 Jul
mirage15–150.0414%25 Jul
mirage10–13-0.0318%23 Jul
nuke13–8-0.0425%23 Jul
dust213–10-0.0225%22 Jul
nuke13–10-0.0520%21 Jul
nuke15–15-0.0519%21 Jul
cache13–100.0421%20 Jul
inferno5–13-0.117%20 Jul
dust26–13-0.0423%20 Jul
ancient13–10-0.0612%19 Jul
mirage13–50.1123%19 Jul
nuke13–50.0815%19 Jul
cache16–140.0930%18 Jul
ancient7–13-0.0713%18 Jul
mirage10–130.0214%18 Jul
cache15–15-0.0318%17 Jul
mirage9–13-0.0117%17 Jul
dust28–13-0.059%17 Jul
dust212–16-0.0219%17 Jul
mirage13–40.0726%17 Jul
cache6–13-0.0326%16 Jul
anubis16–12-0.0416%16 Jul
mirage13–40.0419%16 Jul
mirage9–130.0421%16 Jul
nuke4–13-0.0433%15 Jul
cache13–6-0.048%13 Jul
inferno9–130.0114%11 Jul
dust24–11-0.0118%11 Jul
cache13–10-0.0212%10 Jul
mirage6–13-0.0515%9 Jul
inferno15–150.0527%6 Jul
nuke13–16-0.0119%4 Jul
mirage5–13-0.0513%2 Jul
cache9–13-0.0624%2 Jul
cache13–8-0.0125%1 Jul
inferno8–13-0.0727%1 Jul
dust213–100.0518%1 Jul
nuke13–50.0823%30 Jun
inferno12–12-0.0510%30 Jun
mirage6–13-0.0713%30 Jun
dust211–130.0530%29 Jun
inferno13–40.0219%27 Jun
overpass4–13-0.0326%26 Jun
nuke13–11-0.0228%25 Jun
ancient4–13-0.0018%25 Jun
cache3–13-0.0816%24 Jun
dust213–100.0332%21 Jun
cache8–13-0.0819%17 Jun
dust29–13-0.0520%16 Jun
dust29–130.0717%16 Jun
mirage8–13-0.0518%16 Jun
vertigo8–13-0.039%9 Jun
vertigo6–13-0.0314%9 Jun
cache13–5-0.0522%31 May
cache6–130.0022%31 May
anubis13–6-0.0131%30 May
anubis12–120.0430%27 May
cache8–13-0.0625%18 May
cache13–110.0327%10 May
cache13–20.0914%8 May
cache3–13-0.078%3 May
vertigo7–9-0.080%1 May
cache13–80.0235%1 May
cache13–90.0022%1 May
cache13–8-0.0123%1 May
cache13–40.0428%1 May
cache13–60.0822%29 Apr
cache1–13-0.0416%29 Apr
cache13–70.0239%29 Apr

Match data via Leetify.

Milestones

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