NotAQuitter

NotAQuitter — CS2 Stats

US76561199202198527[U:1:1241932799]Steam profile ↗✓ No bans

233Tracked matches59%Win rate2023Tracked since
203Hours in CS5Hrs last 2 wks
CSDB Rating2.6 LearningPositional Player
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches48−4
Win rate50%50%0pp
K/D0.510.45+0.06
Headshot %38%46%−8pp

Measured 10 Sep 202619 Sep 2026; previous 4 Sep 2026 → 10 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim19
Positioning29
Utility16

0–100 skill scores via Leetify.

Recent form

STEADY503812Last 10050%Win rateLWWLWLWLWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +2.4pp headshot accuracy · +84ms reaction

Win rate 0pp 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

  • 32 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 559ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 13%
  • Avg reaction 630ms

Last 20

  • 1073 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 588ms

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 PlayerPositioning stands above the rest of this profile (+1.4 against its own average).

Aim1.9
Utility1.6
Positioning2.9
Opening Duels0.0

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

jL

Plays most like jL 76% 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

Reaction time. 596ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim1.9
Positioning2.9
Utility1.6
Mechanics2.6
Opening Duels0.0
Win Impact8.1

Composite 2.6/10 (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 -0.06 → last ⅓ avg -0.05
Reaction time599ms−52ms
first ⅓ avg 651ms → last ⅓ avg 599ms
Headshot accuracy11.3%−0.1%
first ⅓ avg 11.4% → last ⅓ avg 11.3%

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

0.06Best match rating · 13–4 · cache, 9 Aug
24%Best headshot accuracy · 9–13 · inferno, 17 Sept
406msFastest reaction time · 13–1 · anubis, 30 Aug
13–1Biggest win · anubis, 30 Aug

Across the last 100 tracked matches.

Highlights

8Longest win streak
74In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 83% over 6cacheWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
dust2A2011955%-0.05
infernoC167944%-0.05
mirageB168850%-0.05
cacheC156940%-0.06
ancientA116555%-0.04
nukeS65183%-0.03
overpassC52340%-0.07
vertigo42250%-0.08
train42250%-0.08
anubis31233%-0.07

Across the last 100 tracked matches.

Lifetime stats

3,523Lifetime kills
0.68K/D
303Matches
43.2%Match win rate
37.4%Headshot %
1.3%Shot accuracy
492MVPs
104Hours (in match)
181Bombs planted
34Bombs defused

Most-used weapons

Lifetime map wins

758dust2
424inferno
173nuke
121vertigo
114train
12ar_shoots
2ar_baggage
1lake

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

Skill profile

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

11.7%Headshot accuracy
26.7%Accuracy (enemy spotted)
24.4%Spray accuracy
61.6%Counter-strafing
12.1°Preaim
596msReaction time
21.2%T opening success
21.5%CT opening success
0.24Enemies flashed / flash
0.9%Flash assists
5.31HE damage / grenade
1.29Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1203° — above the 12° mark we flag

    Aim Training
  2. 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 11.6776% — below the 15% mark we flag

    Aim Training
  3. 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 0.2391 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Cache

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

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.1124%17 Sept
dust213–11-0.0313%16 Sept
ancient13–7-0.038%16 Sept
ancient11–13-0.0613%11 Sept
dust213–80.0116%10 Sept
anubis6–13-0.0910%8 Sept
cache13–6-0.0817%7 Sept
dust210–13-0.067%5 Sept
inferno13–4-0.0316%5 Sept
ancient4–13-0.096%5 Sept
inferno13–100.009%5 Sept
inferno12–12-0.0416%1 Sept
inferno8–13-0.068%30 Aug
anubis13–1-0.0712%30 Aug
dust213–6-0.0719%28 Aug
cache15–15-0.001%26 Aug
mirage13–8-0.047%26 Aug
nuke10–13-0.069%26 Aug
overpass13–6-0.0315%26 Aug
overpass12–12-0.087%24 Aug
dust213–7-0.0718%24 Aug
nuke13–30.0214%23 Aug
nuke13–5-0.014%23 Aug
ancient7–13-0.0513%23 Aug
inferno8–13-0.0013%23 Aug
mirage13–3-0.0317%21 Aug
dust213–7-0.037%21 Aug
vertigo13–4-0.093%21 Aug
mirage11–13-0.0121%21 Aug
cache11–13-0.0711%21 Aug
dust212–12-0.093%20 Aug
inferno13–1-0.019%20 Aug
vertigo13–5-0.058%17 Aug
mirage13–6-0.0418%17 Aug
dust213–6-0.0617%16 Aug
inferno9–13-0.1012%16 Aug
cache6–13-0.058%14 Aug
dust212–12-0.095%13 Aug
train12–12-0.1022%13 Aug
dust213–11-0.067%10 Aug
dust22–13-0.094%10 Aug
inferno13–70.0020%9 Aug
cache13–40.0617%9 Aug
mirage13–7-0.0714%9 Aug
cache13–7-0.100%9 Aug
ancient13–8-0.064%8 Aug
inferno13–40.0310%6 Aug
dust213–30.019%6 Aug
dust213–7-0.0413%1 Aug
cache10–13-0.0814%1 Aug
inferno13–7-0.0113%1 Aug
ancient13–10-0.024%30 Jul
ancient13–90.017%30 Jul
cache3–13-0.086%23 Jul
inferno6–13-0.0615%16 Jul
dust25–13-0.0614%16 Jul
ancient13–11-0.049%16 Jul
dust213–9-0.096%15 Jul
ancient9–13-0.0615%12 Jul
mirage13–5-0.048%12 Jul
inferno6–13-0.0919%12 Jul
dust213–10-0.055%10 Jul
train13–7-0.0519%10 Jul
anubis9–13-0.0617%28 Jun
overpass13–5-0.0918%28 Jun
mirage11–13-0.098%28 Jun
inferno12–12-0.0712%24 Jun
vertigo10–13-0.097%18 Jun
cache9–13-0.069%18 Jun
mirage12–12-0.0510%18 Jun
inferno5–13-0.0821%17 Jun
dust212–12-0.0323%17 Jun
train9–13-0.0912%17 Jun
inferno13–8-0.108%15 Jun
ancient13–3-0.0110%15 Jun
mirage7–13-0.1116%15 Jun
nuke13–11-0.026%15 Jun
dust29–13-0.0515%13 Jun
cache8–13-0.0511%13 Jun
train13–10-0.0612%13 Jun
cache12–12-0.0611%13 Jun
mirage2–130.0211%11 Jun
cache6–4-0.0412%11 Jun
mirage13–20.0213%11 Jun
dust212–12-0.0320%11 Jun
overpass8–13-0.0611%10 Jun
cache13–7-0.0610%10 Jun
mirage9–13-0.097%10 Jun
cache13–11-0.1111%8 Jun
mirage13–5-0.078%8 Jun
nuke13–4-0.096%8 Jun
vertigo0–4-0.0713%5 Jun
mirage8–13-0.070%5 Jun
ancient0–7-0.0311%5 Jun
mirage13–11-0.0414%28 May
nuke13–10-0.0413%28 May
overpass9–13-0.104%18 May
cache12–12-0.0520%18 May
dust22–13-0.0813%16 May
mirage1–13-0.048%16 May

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 →