Dakori

Dakori — CS2 Stats

RU76561199026645541[U:1:1066379813]Steam profile ↗✓ No bans

1,220Tracked matches69%Win rate2020Tracked since
2,946Hours in CS28Hrs last 2 wks
CSDB Rating6.5 SolidHybrid Rifler
Premier CS Rating22,542Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#13515 of 55835 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate43.9%48.5%51.9%8.0% short
Shot accuracy8.1%13.3%13.7%5.6% short
Kill/death ratio0.991.071.080.09 short
Match win rate44.3%47.0%48.7%4.4% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDakoriFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER22,542 · Pink bandcsdb.gg/stats

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Performance scores

Aim69
Positioning57
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY46477Last 10046%Win rateLWTLWLWWWW

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

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

Aim6.9
Aggression7.7
Utility4.9
Positioning5.7
Opening Duels3.1
Clutch3.2

Strong CT-side opener

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

b1t

Plays most like b1t 91% playstyle similarity

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

Where you differ: 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 53% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 635ms 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

Aim6.9
Positioning5.7
Utility4.9
Mechanics7.4
Opening Duels3.1
Win Impact10.0

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time654ms−55ms
first ⅓ avg 710ms → last ⅓ avg 654ms
Headshot accuracy19.0%−2.6%
first ⅓ avg 21.6% → last ⅓ avg 19.0%

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

0.13Best rating — boulder 13–6
130Biggest win — cache
15Longest win streak
66In matches decided by ≤2 rounds
3Overtime games

Map breakdown

trainBest map · 86% over 7officeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheB2091145%-0.00
dust2C1761135%-0.01
mirageA169756%0.01
ancientD124833%-0.02
trainS76186%0.02
infernoD72529%0.01
nukeD62433%-0.02
vertigoS64267%-0.03
officeD51420%0.02
anubis32167%-0.01
boulder110100%0.13

Across the last 100 tracked matches.

Lifetime stats

84,422Lifetime kills
0.99K/D
4,894Matches
44.3%Match win rate
43.9%Headshot %
8.1%Shot accuracy
9,461MVPs
3,134Hours (in match)
3,027Bombs planted
1,411Bombs defused

Most-used weapons

AK-4728,652
AWP9,087
MP93,707
MAC-102,310
Knife1,395

Lifetime map wins

7,817dust2
4,663inferno
2,316vertigo
1,988nuke
1,161train
915italy
880office
100aztec

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

Faceit stats

Combat

522Matches
55%Win rate
1.01Avg K/D
72.6ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8457%0.9713.6
Ancient6850%0.9813.3
Dust25758%1.0013.9
Inferno2045%0.8212.6
Nuke1947%1.0415.7
Anubis1850%0.8211.2
Train1173%1.2215.1
Overpass1050%0.8912.6

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.

19.7%Headshot accuracy
34.0%Accuracy (enemy spotted)
33.3%Spray accuracy
83.4%Counter-strafing
8.8°Preaim
635msReaction time
32.1%T opening success
52.7%CT opening success
0.41Enemies flashed / flash
2.0%Flash assists
11.45HE damage / grenade
7.47Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4078 — below the 0.5 mark we flag

    Grenade Lineups
  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 32.0541% — 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.

29% 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
cache3–13-0.0621%30 Aug
cache13–70.0112%29 Aug
cache12–12-0.0028%28 Aug
cache6–13-0.0229%28 Aug
train13–80.0313%22 Aug
inferno6–13-0.0218%22 Aug
ancient13–110.0318%21 Aug
mirage13–5-0.0121%19 Aug
dust213–80.0711%19 Aug
mirage13–40.0220%19 Aug
mirage13–30.0337%19 Aug
mirage13–20.0216%19 Aug
dust213–40.0514%19 Aug
mirage13–100.1220%19 Aug
cache13–10.1213%19 Aug
train13–4-0.0017%18 Aug
train13–10.0513%16 Aug
cache13–7-0.0524%16 Aug
anubis16–13-0.0016%15 Aug
train13–5-0.0229%13 Aug
ancient13–6-0.0428%9 Aug
dust25–130.0524%8 Aug
cache16–130.0323%8 Aug
nuke13–70.0319%8 Aug
inferno0–130.0214%8 Aug
ancient10–130.0619%8 Aug
nuke6–13-0.0512%8 Aug
ancient11–13-0.0428%8 Aug
ancient13–20.0323%8 Aug
mirage10–13-0.0112%8 Aug
dust23–13-0.0811%8 Aug
mirage13–8-0.079%7 Aug
dust213–9-0.0218%1 Aug
mirage13–60.0218%1 Aug
vertigo13–5-0.0623%1 Aug
vertigo13–7-0.0324%31 Jul
boulder13–60.1343%15 Jul
office7–13-0.0422%9 Jul
office9–13-0.0142%9 Jul
ancient13–110.0030%4 Jul
cache12–12-0.0328%2 Jul
cache6–130.0429%1 Jul
inferno13–6-0.0135%29 Jun
cache13–00.0633%26 Jun
cache7–13-0.0917%26 Jun
cache13–60.0118%26 Jun
mirage8–13-0.0221%23 Jun
dust26–130.0116%23 Jun
ancient3–13-0.0333%23 Jun
ancient4–130.0325%23 Jun
mirage13–00.0812%23 Jun
dust27–130.0318%23 Jun
dust22–130.0232%21 Jun
dust29–12-0.0316%21 Jun
inferno10–130.0036%21 Jun
ancient11–13-0.0331%20 Jun
nuke13–8-0.0115%20 Jun
inferno11–130.0221%20 Jun
cache4–13-0.0818%19 Jun
ancient0–5-0.1114%19 Jun
mirage8–13-0.0525%19 Jun
inferno13–70.0520%19 Jun
mirage4–130.0815%19 Jun
train13–110.0332%17 Jun
cache13–11-0.0218%15 Jun
train12–120.0632%14 Jun
vertigo12–12-0.0717%14 Jun
mirage7–130.0423%10 Jun
cache7–130.0632%10 Jun
cache6–130.0722%8 Jun
anubis6–13-0.0719%30 May
cache13–80.0416%22 May
office11–130.0731%17 May
cache13–5-0.009%6 May
cache8–13-0.0538%6 May
cache8–13-0.0932%6 May
inferno12–120.0121%2 May
vertigo13–70.0429%30 Apr
dust23–130.0030%30 Apr
train13–110.0219%25 Apr
dust27–13-0.0618%19 Apr
vertigo13–10.0317%8 Apr
vertigo4–13-0.0721%8 Apr
dust213–5-0.0315%1 Apr
anubis13–90.0314%1 Apr
ancient3–13-0.0611%28 Mar
mirage4–13-0.0821%27 Mar
nuke11–13-0.0429%27 Mar
dust213–11-0.0213%26 Mar
ancient10–13-0.0433%26 Mar
nuke10–130.0132%26 Mar
dust210–13-0.0717%25 Mar
mirage5–13-0.0624%23 Mar
dust214–160.0125%19 Mar
office12–120.0218%18 Mar
office13–100.0522%18 Mar
dust213–1-0.0015%15 Mar
mirage13–5-0.0011%14 Mar
nuke5–9-0.0416%14 Mar
dust212–12-0.0321%14 Mar

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches15-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →