jawniii

jawniii — CS2 Stats

76561198025921483[U:1:65655755]Steam profile ↗✓ No bans

382Tracked matches47%Win rate2021Tracked since
CSDB Rating2.8 LearningPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,661 +7,772 2 Dec – 28 Sept · 13 days played
9,46317,661peak 17,6612 Dec28 Sept
17,661Peak Premier in tracked matches
39Days played since 2023-12-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim27
Positioning33
Utility23

0–100 skill scores via Leetify.

Recent form

COLD43–50–7Last 10043%Win rateWLLLLLLLLW

Last 10 vs previous 10: −40pp win rate · +0.06 avg rating · +6.7pp headshot accuracy · −17ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.06), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 653ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 687ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 695ms

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 (+1.8 against its own average).

Aim2.7
Utility2.3
Positioning3.3
Opening Duels0.4
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.

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

Twistzz

Plays most like Twistzz 78% 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

Areas to improve

T-side openings. Opening success drops from 39% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 716ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.7
Positioning3.3
Utility2.3
Mechanics3.5
Opening Duels1.1
Win Impact3.9

Composite 2.8/10 (Learning), 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-0.05+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time727ms−14ms
first ⅓ avg 740ms → last ⅓ avg 727ms
Headshot accuracy12.9%+2.4%
first ⅓ avg 10.6% → last ⅓ avg 12.9%

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

0.08Best match rating · 13–9 · dust2, 20 Jun →
35%Best headshot accuracy · 7–13 · dust2, 21 Jun →
469msFastest reaction time · 13–0 · train, 30 Dec →
13–0Biggest win · train, 30 Dec →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 56% over 9vertigoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C3113–1842%-0.04
mirageB137–654%-0.04
infernoB115–645%-0.05
nukeC104–640%-0.06
ancientC104–640%-0.05
overpassA95–456%-0.04
trainC73–443%-0.02
vertigoD62–433%-0.04
anubis—30–30%-0.09

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
50%Win rate
0.59Avg K/D
50.3ADR
50%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.7110.0
Dust21100%0.478.0

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.

13.1%Headshot accuracy
30.4%Accuracy (enemy spotted)
32.8%Spray accuracy
65.7%Counter-strafing
10.9°Preaim
716msReaction time
19.3%T opening success
38.5%CT opening success
0.63Enemies flashed / flash
6.0%Flash assists
6.71HE damage / grenade
2.74Flashes / 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 13.1219% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 715.6329ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.744 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Vertigo

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–9-0.0211%10 Oct →
train6–13-0.0126%10 Oct →
dust28–130.0314%26 Apr →
nuke1–13-0.0619%26 Apr →
ancient8–130.019%26 Apr →
dust210–130.0320%26 Apr →
ancient9–13-0.098%4 Nov →
dust28–130.0720%3 Nov →
mirage11–13-0.0625%17 Oct →
dust213–8-0.0712%17 Oct →
ancient5–13-0.1211%17 Oct →
dust213–4-0.1010%28 Sept →
inferno8–13-0.028%28 Sept →
mirage13–11-0.0211%28 Sept →
train6–13-0.098%28 Sept →
nuke13–7-0.086%27 Sept →
ancient13–11-0.0710%27 Sept →
nuke13–7-0.1116%21 Sept →
inferno13–7-0.0413%21 Sept →
mirage2–13-0.085%20 Sept →
dust22–13-0.0516%20 Sept →
inferno16–13-0.0413%19 Sept →
dust213–9-0.0413%19 Sept →
train7–13-0.0814%17 Sept →
mirage13–11-0.0615%17 Sept →
dust29–13-0.077%17 Sept →
ancient13–10-0.0510%14 Sept →
dust213–6-0.0417%11 Sept →
dust213–60.0315%10 Sept →
mirage9–13-0.0313%10 Sept →
overpass11–13-0.0215%7 Sept →
inferno16–13-0.047%7 Sept →
mirage13–5-0.0811%27 Jun →
overpass13–5-0.0517%27 Jun →
overpass13–3-0.0211%27 Jun →
dust213–8-0.0523%27 Jun →
inferno13–3-0.0315%27 Jun →
dust213–2-0.0615%25 Jun →
dust211–13-0.063%24 Jun →
dust211–13-0.0513%24 Jun →
ancient6–13-0.0425%24 Jun →
dust212–120.0023%21 Jun →
dust27–13-0.0535%21 Jun →
dust23–13-0.0617%20 Jun →
dust213–90.0814%20 Jun →
inferno13–100.0017%15 Jun →
dust29–13-0.0110%15 Jun →
mirage10–13-0.099%15 Jun →
dust29–13-0.0813%15 Jun →
dust213–9-0.110%2 Jan →
dust213–9-0.0610%2 Jan →
inferno3–13-0.0622%1 Jan →
dust213–3-0.057%1 Jan →
train12–12-0.0514%1 Jan →
ancient12–12-0.0616%1 Jan →
nuke12–12-0.0718%30 Dec →
train13–00.036%30 Dec →
train13–40.0812%30 Dec →
vertigo13–10.0417%30 Dec →
vertigo10–13-0.088%28 Dec →
dust20–4-0.0522%5 Nov →
dust25–13-0.119%27 Apr →
mirage13–11-0.0319%12 Jan →
overpass10–13-0.0815%12 Jan →
dust213–70.0118%12 Jan →
nuke8–13-0.0816%21 Dec →
mirage13–9-0.0513%16 Dec →
overpass13–50.0023%16 Dec →
overpass13–11-0.0513%15 Dec →
vertigo13–90.019%15 Dec →
overpass16–12-0.0112%13 Dec →
ancient13–9-0.018%13 Dec →
ancient8–13-0.0311%10 Dec →
anubis15–15-0.060%10 Dec →
overpass5–13-0.0614%10 Dec →
vertigo8–13-0.0814%10 Dec →
inferno5–13-0.0414%10 Dec →
mirage13–30.0012%7 Dec →
anubis6–13-0.1112%7 Dec →
ancient13–8-0.066%6 Dec →
nuke10–13-0.035%5 Dec →
inferno3–13-0.1013%5 Dec →
nuke7–3-0.056%5 Dec →
mirage11–130.0618%5 Dec →
vertigo7–13-0.053%5 Dec →
dust213–11-0.027%4 Dec →
dust29–13-0.0118%4 Dec →
dust21–13-0.150%4 Dec →
dust210–13-0.079%4 Dec →
nuke13–5-0.0210%4 Dec →
mirage9–13-0.0213%3 Dec →
anubis5–13-0.113%3 Dec →
dust212–12-0.0618%3 Dec →
inferno15–15-0.115%2 Dec →
mirage13–10-0.0618%2 Dec →
overpass9–13-0.106%2 Dec →
nuke9–13-0.0518%2 Dec →
nuke10–13-0.0718%2 Dec →
inferno9–13-0.076%2 Dec →
vertigo2–13-0.097%2 Dec →

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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