Dajolly1 og

Dajolly1 og — CS2 Stats

76561198920295429[U:1:960029701]Steam profile ↗✓ No bans

1,224Tracked matches57%Win rate2021Tracked since
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating22,120Top 50% of 819 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#4654 of 14389 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGDajolly1 ogPREMIER22,120 · Pink bandcsdb.gg/stats

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Performance scores

Aim61
Positioning52
Utility41

0–100 skill scores via Leetify.

Recent form

COLD58375Last 10058%Win rateLTLLLWLWLL

Last 10 vs previous 10: -50pp win rate · -0.02 avg rating

Player DNA

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

Aim6.1
Aggression4.6
Utility4.1
Positioning5.2
Opening Duels2.3
Clutch0.0

Limited utility dependence

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 86% playstyle similarity

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

Where you differ: lower utility contribution; 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. 604ms 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

Aim6.1
Positioning5.2
Utility4.1
Mechanics6.9
Opening Duels2.3
Win Impact7.4

Composite 5.6/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time598ms−16ms
first ⅓ avg 614ms → last ⅓ avg 598ms
Headshot accuracy15.7%−1.0%
first ⅓ avg 16.6% → last ⅓ avg 15.7%

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

0.18Best rating — overpass 13–0
130Biggest win — mirage
9Longest win streak
87In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 86% over 7ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
nukeC2071335%0.00
dust2S1813572%0.03
mirageS1511473%0.01
infernoB137654%0.01
ancientD103730%0.00
cacheS76186%0.01
anubisS76186%0.02
overpassC73443%0.00
office21150%0.07
train110100%0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

6Matches
50%Win rate
1.41Avg K/D
107.2ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust220%1.2421.0
Inferno10%1.2931.0
Mirage1100%1.5021.0
Anubis1100%2.0923.0

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.

15.7%Headshot accuracy
34.7%Accuracy (enemy spotted)
38.6%Spray accuracy
80.9%Counter-strafing
11.8°Preaim
604msReaction time
33.2%T opening success
45.1%CT opening success
0.49Enemies flashed / flash
14.2%Flash assists
8.26HE damage / grenade
2.91Flashes / 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 0.4851 — 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 33.161% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–13-0.036%16 Aug
nuke15–15-0.0418%9 Aug
inferno10–13-0.0610%9 Aug
dust211–13-0.0123%6 Aug
ancient8–13-0.0412%5 Aug
inferno13–100.0010%5 Aug
nuke7–13-0.0128%3 Aug
nuke13–40.0410%3 Aug
nuke5–13-0.0618%3 Aug
nuke7–130.0316%2 Aug
office13–30.1722%2 Aug
dust211–1-0.0224%2 Aug
dust213–90.1123%2 Aug
cache13–80.0216%26 Jul
inferno15–150.0212%25 Jul
mirage0–5-0.080%25 Jul
nuke13–7-0.0411%25 Jul
anubis13–7-0.0514%25 Jul
office5–5-0.030%21 Jul
mirage13–11-0.0311%19 Jul
cache13–60.0322%19 Jul
cache7–1-0.0214%19 Jul
dust213–20.0513%19 Jul
mirage9–13-0.079%19 Jul
cache16–13-0.0830%19 Jul
cache13–100.0419%19 Jul
anubis1–13-0.0211%11 Jul
anubis13–70.0911%11 Jul
nuke7–13-0.0625%11 Jul
cache13–110.0320%11 Jul
dust213–8-0.0113%5 Jul
dust213–30.0323%5 Jul
nuke11–13-0.0121%5 Jul
ancient13–90.057%5 Jul
mirage13–10.0532%20 Jun
inferno2–13-0.0418%20 Jun
cache12–120.0411%20 Jun
nuke13–50.0614%31 May
mirage13–11-0.015%28 May
ancient9–130.0214%25 May
anubis13–10-0.0327%25 May
dust213–80.1017%25 May
dust213–110.0411%11 Apr
nuke13–11-0.009%10 Apr
nuke3–13-0.0223%4 Apr
nuke11–130.0213%4 Apr
dust29–130.0216%22 Mar
mirage5–13-0.0521%26 Feb
ancient3–13-0.0410%25 Feb
mirage13–100.065%25 Feb
inferno13–50.0511%25 Feb
nuke16–12-0.0118%14 Feb
ancient13–70.0314%3 Feb
ancient13–110.0413%3 Feb
anubis13–8-0.0012%3 Feb
anubis13–30.0017%3 Feb
overpass13–100.0214%2 Feb
inferno13–80.0817%2 Feb
nuke9–130.0914%1 Feb
dust213–60.074%1 Feb
ancient8–13-0.0321%1 Feb
anubis13–80.1411%31 Jan
dust26–13-0.0113%31 Jan
inferno13–10.079%31 Jan
mirage13–70.118%28 Jan
mirage13–00.0715%28 Jan
ancient12–160.0714%27 Jan
nuke10–130.0422%26 Jan
overpass13–00.1825%26 Jan
ancient1–13-0.039%25 Jan
inferno9–130.0814%23 Jan
overpass11–13-0.0311%18 Jan
mirage13–9-0.0217%12 Jan
mirage13–50.0529%23 Dec
nuke12–120.0216%23 Dec
overpass0–2-0.170%21 Dec
mirage12–12-0.0211%21 Dec
mirage13–30.0810%20 Dec
inferno5–13-0.0717%20 Dec
inferno13–7-0.026%20 Dec
dust216–140.0619%20 Dec
train13–100.0311%20 Dec
mirage16–13-0.0118%19 Dec
dust213–70.0526%19 Dec
overpass13–90.0314%17 Dec
dust213–20.0512%15 Dec
mirage13–70.0416%14 Dec
dust213–30.019%13 Dec
dust27–130.0322%6 Dec
inferno13–80.0316%30 Nov
nuke13–30.0130%30 Nov
overpass9–13-0.0018%29 Nov
nuke9–13-0.0217%28 Nov
ancient14–16-0.059%28 Nov
nuke5–130.0718%27 Nov
dust213–70.0128%24 Nov
inferno13–11-0.0128%23 Nov
overpass4–13-0.0220%22 Nov
inferno9–13-0.0013%22 Nov
nuke13–6-0.0419%22 Nov

Match data via Leetify.

Milestones

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