tora — CS2 Stats

76561197998033221[U:1:37767493]

2,392Tracked matches29%Win rate2021Tracked since
CSDB Rating4.3 Developing
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGtoraFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim52
Positioning39
Utility54

0–100 skill scores via Leetify.

Recent form

COLD46477Last 10046%Win rateLWLLLWLLLT

Last 10 vs previous 10: -10pp win rate · -0.05 avg rating

Player DNA

Aim5.2
Aggression3.0
Utility5.4
Positioning3.9
Opening Duels0.4

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 79% 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

T-side openings. Opening success drops from 47% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 646ms 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

Aim5.2
Positioning3.9
Utility5.4
Mechanics6.1
Opening Duels2.1
Win Impact0.0

Composite 4.3/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time643ms+15ms
first ⅓ avg 628ms → last ⅓ avg 643ms
Headshot accuracy10.8%+1.5%
first ⅓ avg 9.3% → last ⅓ avg 10.8%

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.

Highlights

0.13Best rating — dust2 13–7
131Biggest win — dust2
8Longest win streak
34In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 67% over 27infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2S2718967%0.02
mirageD134931%-0.02
ancientD103730%-0.00
nukeB105550%-0.01
officeC94544%-0.01
infernoD92722%-0.01
cacheC94544%-0.04
anubisC52340%-0.02
vertigo4040%-0.04
overpass440100%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

14Matches
21%Win rate
0.63Avg K/D
ADR
49%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient425%0.6410.8
Vertigo333%0.6111.3
Mirage20%0.509.5
Anubis250%0.7715.5
Overpass20%0.589.5
Inferno10%0.7112.0

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.

10.7%Headshot accuracy
34.1%Accuracy (enemy spotted)
40.2%Spray accuracy
77.5%Counter-strafing
10.7°Preaim
646msReaction time
16.1%T opening success
47.0%CT opening success
0.52Enemies flashed / flash
2.6%Flash assists
10.18HE damage / grenade
10.74Flashes / 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 10.6979% — 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 16.1345% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–130.0213%28 Aug
dust213–90.014%26 Aug
office1–5-0.046%26 Aug
anubis1–13-0.068%23 Aug
ancient4–13-0.0119%23 Aug
dust213–20.079%23 Aug
inferno4–13-0.083%23 Aug
mirage3–13-0.085%22 Aug
dust211–13-0.009%22 Aug
inferno12–120.018%22 Aug
cache7–130.0114%21 Aug
dust213–10.1032%19 Aug
dust213–80.055%17 Aug
ancient8–13-0.027%16 Aug
dust25–130.038%16 Aug
office13–100.0910%16 Aug
ancient4–130.0815%15 Aug
vertigo7–13-0.0611%15 Aug
ancient11–13-0.049%12 Aug
nuke2–130.064%9 Aug
dust212–120.0217%4 Aug
mirage4–13-0.0010%4 Aug
cache13–8-0.015%3 Aug
mirage13–7-0.047%3 Aug
mirage8–130.006%30 Jul
cache4–13-0.1419%30 Jul
nuke5–13-0.0818%23 Jul
dust213–110.0112%22 Jul
cache5–13-0.1020%22 Jul
nuke7–13-0.0514%21 Jul
inferno13–7-0.0012%19 Jul
anubis2–13-0.048%19 Jul
mirage13–50.0112%19 Jul
inferno4–13-0.084%19 Jul
mirage13–5-0.066%15 Jul
office13–80.017%14 Jul
office13–7-0.069%13 Jul
mirage7–13-0.029%12 Jul
nuke13–80.0011%11 Jul
nuke2–13-0.0113%11 Jul
dust213–10-0.038%11 Jul
nuke13–8-0.0412%8 Jul
dust212–12-0.0711%6 Jul
ancient13–90.0218%6 Jul
office7–130.047%5 Jul
mirage7–40.0910%5 Jul
mirage3–13-0.0715%1 Jul
dust29–130.036%30 Jun
ancient9–13-0.054%30 Jun
dust216–120.0011%29 Jun
vertigo10–13-0.023%28 Jun
ancient2–13-0.0416%28 Jun
ancient10–130.0110%28 Jun
mirage0–12-0.0513%28 Jun
inferno8–130.0411%28 Jun
ancient13–90.0310%28 Jun
cache13–50.053%24 Jun
overpass13–110.008%24 Jun
dust213–100.0214%22 Jun
nuke13–80.0218%22 Jun
dust213–70.135%20 Jun
dust213–10-0.0115%20 Jun
dust213–30.0011%19 Jun
vertigo7–13-0.067%19 Jun
dust210–13-0.0110%18 Jun
office7–13-0.100%17 Jun
office6–13-0.0713%5 Jun
overpass13–9-0.0224%5 Jun
dust213–110.0311%3 Jun
dust213–20.0114%2 Jun
inferno12–120.0513%31 May
nuke4–130.0310%31 May
office13–90.013%30 May
dust213–70.038%30 May
anubis9–130.023%27 May
inferno13–70.0714%25 May
dust28–13-0.0113%25 May
mirage11–130.038%24 May
anubis11–10.017%24 May
office9–130.0218%24 May
vertigo8–8-0.039%24 May
dust213–6-0.037%24 May
cache13–10-0.059%23 May
ancient13–3-0.0214%22 May
dust213–50.0012%22 May
cache9–13-0.067%20 May
nuke13–7-0.067%19 May
overpass13–70.042%19 May
dust213–40.099%19 May
mirage15–150.0216%18 May
dust213–70.059%17 May
cache13–70.018%16 May
inferno7–9-0.1315%13 May
overpass13–10-0.041%13 May
anubis13–4-0.045%12 May
nuke13–9-0.029%9 May
mirage2–13-0.093%8 May
dust23–130.015%8 May
cache8–13-0.0413%4 May
inferno8–80.020%3 May

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 →