JafDoan — CS2 Stats

76561198077729641[U:1:117463913]

551Tracked matches33%Win rate2022Tracked since
CSDB Rating3.3 Learning
Premier CS Rating9,492Light Blue band · top ~57.3% of ranked players (population est.)
CSDB Leaderboard#37861 of 52039 tracked
Ladder ranks via Leetify

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CSDB.GGJafDoanPREMIER9,492 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim51
Positioning25
Utility38

0–100 skill scores via Leetify.

Recent form

COLD404812Last 10040%Win rateLLLLLLLWWL

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

Player DNA

Aim5.1
Aggression1.7
Utility3.8
Positioning2.5
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 66% 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

Reaction time. 639ms 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

Aim5.1
Positioning2.5
Utility3.8
Mechanics7.3
Opening Duels0.0
Win Impact0.0

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time638ms+8ms
first ⅓ avg 630ms → last ⅓ avg 638ms
Headshot accuracy18.7%−1.0%
first ⅓ avg 19.7% → last ⅓ avg 18.7%

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

0.09Best rating — inferno 13–2
120Biggest win — dust2
8Longest win streak
L7Current streak
42In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 57% over 7trainWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
cacheD2171433%-0.04
dust2C2081240%-0.04
infernoC1981142%-0.02
trainD103730%-0.04
vertigoA95456%-0.02
mirageA74357%-0.04
nuke43175%0.02
office31233%-0.06
ancient31233%-0.04
anubis2020%-0.09
overpass2020%-0.01

Across the last 100 tracked matches.

Skill profile

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

19.6%Headshot accuracy
28.1%Accuracy (enemy spotted)
25.1%Spray accuracy
83.0%Counter-strafing
9.5°Preaim
639msReaction time
19.4%T opening success
24.9%CT opening success
0.48Enemies flashed / flash
2.7%Flash assists
7.64HE damage / grenade
2.53Flashes / 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. 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 0.4839 — 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 19.3841% — below the 40% mark we flag

Spend your practice time on Train

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.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno4–130.0022%17 Aug
dust25–13-0.0133%17 Aug
train6–13-0.0819%9 Jul
mirage5–13-0.0426%9 Jul
inferno8–13-0.0024%27 Jun
anubis3–13-0.1319%27 Jun
cache11–13-0.0620%27 Jun
train5–0-0.050%26 Jun
vertigo13–8-0.0224%26 Jun
dust28–13-0.0420%26 Jun
cache12–12-0.0320%20 Jun
dust212–12-0.098%20 Jun
nuke5–13-0.0110%19 Jun
train11–13-0.0431%19 Jun
mirage13–11-0.1112%19 Jun
cache12–120.0131%18 Jun
office7–13-0.0910%18 Jun
dust210–13-0.0721%18 Jun
train12–12-0.0521%18 Jun
train6–13-0.0414%18 Jun
ancient12–12-0.0212%18 Jun
inferno4–13-0.0314%17 Jun
dust213–8-0.0422%17 Jun
train9–13-0.0128%17 Jun
nuke13–60.0428%16 Jun
vertigo1–13-0.1217%16 Jun
inferno13–9-0.0020%16 Jun
cache12–12-0.0324%15 Jun
mirage13–6-0.038%15 Jun
inferno13–20.0915%14 Jun
cache9–13-0.0617%14 Jun
dust213–10-0.0421%14 Jun
ancient13–10-0.068%14 Jun
inferno3–13-0.0222%12 Jun
train6–13-0.0824%12 Jun
ancient12–12-0.0512%11 Jun
dust25–13-0.0319%11 Jun
vertigo12–12-0.0223%11 Jun
inferno13–11-0.0013%11 Jun
mirage13–10-0.0425%11 Jun
cache9–13-0.0711%8 Jun
inferno3–13-0.0811%8 Jun
dust29–13-0.0322%8 Jun
vertigo13–100.0419%8 Jun
overpass6–13-0.0418%8 Jun
mirage12–120.0028%8 Jun
inferno8–13-0.0515%8 Jun
vertigo13–100.0115%8 Jun
dust213–60.0016%8 Jun
cache8–13-0.0313%8 Jun
cache13–40.0121%5 Jun
mirage6–13-0.0322%5 Jun
dust213–4-0.0129%5 Jun
inferno13–6-0.064%5 Jun
vertigo0–13-0.0918%5 Jun
vertigo13–8-0.0513%3 Jun
inferno10–13-0.0422%3 Jun
mirage13–8-0.0613%1 Jun
inferno13–50.0329%1 Jun
cache6–13-0.0630%1 Jun
inferno13–7-0.0038%30 May
nuke13–9-0.0137%30 May
train9–13-0.0724%30 May
nuke13–80.0817%23 May
inferno8–13-0.0622%23 May
train13–70.0414%20 May
cache9–13-0.0242%20 May
office12–12-0.0818%19 May
dust22–13-0.0625%19 May
inferno13–10-0.0511%19 May
inferno10–13-0.0414%16 May
office13–4-0.0215%16 May
vertigo5–130.0412%16 May
dust212–00.0619%16 May
overpass12–120.0226%13 May
inferno7–130.0020%13 May
dust26–13-0.0630%11 May
cache2–13-0.0712%11 May
dust213–4-0.0223%6 May
cache3–13-0.0324%6 May
anubis7–13-0.0638%6 May
dust26–13-0.1216%6 May
cache13–7-0.0729%6 May
inferno3–13-0.0919%5 May
dust26–13-0.0616%5 May
cache12–120.0214%5 May
dust26–13-0.0518%5 May
cache13–70.0914%1 May
dust22–13-0.0410%1 May
cache13–11-0.0326%30 Apr
cache5–13-0.0717%30 Apr
cache3–13-0.0827%30 Apr
cache13–8-0.0818%30 Apr
cache13–10-0.0716%28 Apr
cache13–6-0.0317%28 Apr
inferno13–8-0.0115%24 Apr
train13–6-0.0132%24 Apr
vertigo13–90.0223%24 Apr
dust213–8-0.0122%24 Apr
dust213–110.0112%22 Apr

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 →