Jango Fett

Jango Fett — CS2 Stats

76561199045460974[U:1:1085195246]Steam profile ↗✓ No bans

364Tracked matches42%Win rate2020Tracked since
CSDB Rating4.9 DevelopingPositional Player
WingmanSilver II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

+11Tracked matches · now 364
+0.9ppWin rate · 40.7% → 41.7%

Rating over time

18Days played since 2026-09-24

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim54
Positioning60
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY43–44–13Last 10043%Win rateWLTWWTWTTL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −3.8pp headshot accuracy · +114ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 636ms

Last 10

  • 4–2–4 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 642ms

Last 20

  • 7–8–5 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 585ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim5.4
Utility4.3
Positioning6.0
Opening Duels1.9

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 77% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 64% on T to 38% on CT — first contacts on the defending side are being lost.

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

Aim5.4
Positioning6.0
Utility4.3
Mechanics4.6
Opening Duels5.3
Win Impact2.2

Composite 4.9/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time605ms−20ms
first ⅓ avg 625ms → last ⅓ avg 605ms
Headshot accuracy13.3%+0.4%
first ⅓ avg 12.9% → last ⅓ avg 13.3%

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.

Personal bests

0.14Best match rating · 4–1 · dust2, 24 Sept →
29%Best headshot accuracy · 12–12 · dust2, 13 Oct →
414msFastest reaction time · 9–13 · dust2, 10 Oct →
13–0Biggest win · dust2, 7 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 47% over 78mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B7837–4147%0.00
mirageC83–538%-0.03
infernoC52–340%0.01
nuke—20–20%-0.02
anubis—20–20%-0.06
train—20–20%0.00
overpass—11–0100%0.01
ancient—10–10%-0.01
vertigo—10–10%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

13.3%Headshot accuracy
35.1%Accuracy (enemy spotted)
35.2%Spray accuracy
70.6%Counter-strafing
9.7°Preaim
604msReaction time
64.4%T opening success
37.6%CT opening success
0.58Enemies flashed / flash
10.7%Flash assists
5.53HE damage / grenade
4.78Flashes / 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 13.276% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.5964% — below the 40% mark we flag

Spend your practice time on Mirage

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0313%15 Oct →
dust211–13-0.0710%15 Oct →
dust212–12-0.024%15 Oct →
overpass13–110.0118%15 Oct →
dust213–80.0911%15 Oct →
mirage12–12-0.0014%15 Oct →
dust213–100.0816%14 Oct →
dust212–120.0029%13 Oct →
ancient12–12-0.0110%13 Oct →
nuke1–7-0.035%13 Oct →
mirage13–4-0.0025%13 Oct →
dust26–130.0221%10 Oct →
dust29–13-0.0812%10 Oct →
dust213–5-0.0322%10 Oct →
dust211–13-0.0412%10 Oct →
dust28–130.0116%9 Oct →
dust212–12-0.0520%9 Oct →
anubis6–13-0.077%9 Oct →
dust211–13-0.058%9 Oct →
dust213–20.0825%9 Oct →
dust210–130.0011%9 Oct →
dust213–50.0624%9 Oct →
dust24–13-0.0316%9 Oct →
dust26–40.0110%9 Oct →
dust212–12-0.105%9 Oct →
dust213–160.0512%9 Oct →
mirage8–13-0.077%9 Oct →
dust27–13-0.039%9 Oct →
dust211–13-0.075%8 Oct →
dust213–40.034%8 Oct →
dust210–13-0.0213%8 Oct →
dust213–70.0720%8 Oct →
dust213–5-0.065%8 Oct →
dust24–13-0.0312%8 Oct →
dust24–13-0.0215%7 Oct →
dust213–90.047%7 Oct →
dust21–13-0.068%7 Oct →
dust212–12-0.008%7 Oct →
dust213–70.0211%7 Oct →
dust213–00.1115%7 Oct →
dust210–8-0.0315%6 Oct →
dust211–130.0211%6 Oct →
mirage4–13-0.0210%6 Oct →
dust213–3-0.1222%6 Oct →
dust213–0-0.0518%6 Oct →
dust213–11-0.0418%6 Oct →
dust28–130.029%6 Oct →
dust213–8-0.0313%6 Oct →
dust23–13-0.052%5 Oct →
train7–13-0.039%5 Oct →
dust213–50.039%5 Oct →
dust210–130.0418%5 Oct →
inferno6–130.0211%5 Oct →
dust211–130.005%5 Oct →
anubis12–12-0.0512%3 Oct →
mirage6–13-0.0210%3 Oct →
inferno13–40.047%3 Oct →
dust213–5-0.088%2 Oct →
dust213–9-0.0319%2 Oct →
dust211–13-0.066%1 Oct →
dust24–130.0115%30 Sept →
dust212–120.0313%30 Sept →
inferno13–4-0.0414%30 Sept →
dust22–130.0219%30 Sept →
dust24–13-0.0411%30 Sept →
dust24–12-0.0216%30 Sept →
dust212–120.0212%30 Sept →
inferno12–12-0.0019%30 Sept →
nuke12–12-0.0118%30 Sept →
vertigo7–13-0.0113%30 Sept →
dust213–60.0119%29 Sept →
dust213–100.0410%29 Sept →
dust25–00.104%29 Sept →
train7–130.039%29 Sept →
mirage13–4-0.0218%29 Sept →
dust213–100.0611%28 Sept →
dust213–5-0.038%28 Sept →
dust27–00.0613%28 Sept →
dust213–100.1122%28 Sept →
dust212–12-0.057%28 Sept →
dust29–13-0.0014%28 Sept →
dust213–80.0515%28 Sept →
dust213–80.0815%27 Sept →
dust213–5-0.0718%26 Sept →
dust213–7-0.0415%24 Sept →
dust210–10.0413%24 Sept →
dust211–130.047%24 Sept →
dust213–80.066%24 Sept →
dust24–10.149%24 Sept →
dust26–130.109%24 Sept →
dust20–13-0.0614%24 Sept →
mirage13–8-0.0315%24 Sept →
dust27–13-0.0410%24 Sept →
dust23–13-0.0614%24 Sept →
dust213–50.0720%24 Sept →
dust210–13-0.0314%24 Sept →
inferno5–130.027%24 Sept →
dust213–110.0113%24 Sept →
dust26–13-0.056%24 Sept →
mirage10–13-0.0819%24 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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