LittleNebula

LittleNebula — CS2 Stats

76561198446029206[U:1:485763478]Steam profile ↗✓ No bans

496Tracked matches62%Win rate2024Tracked since
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating13,377Blue band · top ~37% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Jun 2026 (104 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,377 -1,112 16 Jun – 29 Jun · 5 days played
13,37714,489peak 14,48916 Jun29 Jun
14,591Peak Premier in tracked matches
43Days played since 2026-05-25

Premier CS Rating

  • 1,112 below peak (14,489)
  • Next: Purple band at 15,000 — 1,623 to go
  • Reached: Blue band · Light Blue band

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

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CSDB.GGLittleNebulaPREMIER13,377 · Blue bandcsdb.gg/stats

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Performance scores

Aim33
Positioning61
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLLWWLWLWWW

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · −1.0pp headshot accuracy · +34ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 641ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 686ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 669ms

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 (+1.5 against its own average).

Aim3.3
Utility4.7
Positioning6.1
Opening Duels3.1

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 63% 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. 642ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim3.3
Positioning6.1
Utility4.7
Mechanics4.3
Opening Duels3.8
Win Impact9.0

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time634ms−23ms
first ⅓ avg 657ms → last ⅓ avg 634ms
Headshot accuracy12.6%−2.7%
first ⅓ avg 15.2% → last ⅓ avg 12.6%

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

0.13Best match rating · 5–13 · cache, 22 Jun →
33%Best headshot accuracy · 3–9 · inferno, 7 Jul →
453msFastest reaction time · 8–13 · ancient, 18 Sept →
13–0Biggest win · vertigo, 11 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
5–3In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 75% over 12ancientWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2213–959%-0.04
dust2A1912–763%-0.00
mirageC166–1038%-0.03
cacheD124–833%-0.00
nukeS129–375%-0.03
ancientD70–70%-0.05
vertigo—42–250%-0.02
anubis—30–30%-0.08
train—21–150%-0.07
office—10–10%-0.08
warden—10–10%0.00
overpass—10–10%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Ancient 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.

11.7%Headshot accuracy
32.7%Accuracy (enemy spotted)
33.6%Spray accuracy
69.5%Counter-strafing
12.7°Preaim
642msReaction time
48.8%T opening success
41.3%CT opening success
0.69Enemies flashed / flash
2.4%Flash assists
8.16HE damage / grenade
6.09Flashes / 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 12.6881° — 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 11.738% — below the 15% mark we flag

    Aim Training →
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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust29–13-0.0312%10 Oct →
anubis4–13-0.094%10 Oct →
dust213–90.018%9 Oct →
inferno13–7-0.0322%7 Oct →
mirage8–13-0.0311%7 Oct →
dust213–11-0.0417%26 Sept →
office6–13-0.080%24 Sept →
vertigo13–5-0.0513%24 Sept →
dust213–70.0217%24 Sept →
cache13–70.039%24 Sept →
ancient8–13-0.049%18 Sept →
dust213–11-0.049%18 Sept →
inferno13–5-0.056%18 Sept →
dust213–40.0417%17 Sept →
mirage13–90.0517%13 Sept →
cache3–13-0.0713%13 Sept →
dust213–40.0013%12 Sept →
nuke13–50.0216%12 Sept →
cache13–90.0212%12 Sept →
nuke13–11-0.0511%8 Sept →
cache6–13-0.019%8 Sept →
mirage9–130.0117%8 Sept →
vertigo10–13-0.029%8 Sept →
dust29–4-0.0414%7 Sept →
mirage13–10-0.069%7 Sept →
dust29–13-0.026%7 Sept →
inferno13–40.0326%7 Sept →
mirage3–13-0.0010%7 Sept →
train13–6-0.085%6 Sept →
dust212–12-0.0114%6 Sept →
nuke13–9-0.0629%6 Sept →
dust213–90.0215%2 Sept →
train8–13-0.0618%2 Sept →
cache7–13-0.0528%30 Aug →
inferno4–13-0.105%30 Aug →
mirage13–10-0.0213%20 Aug →
vertigo13–00.0020%11 Aug →
inferno12–12-0.0514%2 Aug →
cache8–13-0.0421%2 Aug →
nuke4–13-0.0121%1 Aug →
nuke13–10-0.078%21 Jul →
inferno13–8-0.056%21 Jul →
cache7–13-0.0312%21 Jul →
mirage13–3-0.0218%21 Jul →
inferno8–8-0.0615%14 Jul →
inferno8–8-0.0315%14 Jul →
inferno9–40.0923%14 Jul →
cache4–13-0.0716%9 Jul →
inferno3–13-0.1020%9 Jul →
nuke13–10-0.0914%9 Jul →
anubis9–13-0.089%8 Jul →
inferno9–40.0124%7 Jul →
inferno3–9-0.1033%7 Jul →
vertigo6–13-0.0224%5 Jul →
cache13–9-0.0114%5 Jul →
cache13–10.1022%30 Jun →
dust28–13-0.0629%30 Jun →
inferno13–7-0.0711%30 Jun →
inferno8–13-0.0715%29 Jun →
nuke3–13-0.0226%29 Jun →
cache5–130.1325%22 Jun →
warden4–130.0021%22 Jun →
mirage13–8-0.0318%22 Jun →
inferno13–10-0.0118%20 Jun →
mirage8–13-0.0313%19 Jun →
ancient9–13-0.0710%19 Jun →
mirage5–13-0.057%18 Jun →
ancient6–13-0.0411%18 Jun →
cache8–13-0.0512%17 Jun →
dust213–100.0624%17 Jun →
dust211–130.1122%17 Jun →
mirage5–130.0220%16 Jun →
dust213–11-0.0316%16 Jun →
mirage6–13-0.1212%16 Jun →
ancient3–13-0.0417%16 Jun →
dust216–13-0.0422%15 Jun →
inferno11–130.0214%13 Jun →
inferno13–7-0.0510%13 Jun →
nuke13–80.0110%13 Jun →
dust21–13-0.030%10 Jun →
mirage2–13-0.086%10 Jun →
nuke6–13-0.064%10 Jun →
nuke13–80.0516%8 Jun →
ancient9–13-0.0714%8 Jun →
dust211–13-0.0115%8 Jun →
inferno13–8-0.0515%5 Jun →
inferno13–4-0.0118%5 Jun →
mirage3–13-0.0512%5 Jun →
ancient15–150.0014%3 Jun →
inferno13–3-0.0610%3 Jun →
nuke13–5-0.0111%3 Jun →
dust213–2-0.0124%1 Jun →
inferno10–13-0.076%31 May →
overpass12–120.0215%29 May →
mirage10–1-0.0733%29 May →
inferno13–11-0.0713%29 May →
anubis8–13-0.0724%26 May →
mirage4–13-0.0129%26 May →
nuke13–6-0.0217%25 May →
ancient9–13-0.0617%25 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 →

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