Nola™

Nola™ — CS2 Stats

ZA76561198847293161[U:1:887027433]Steam profile ↗✓ No bans

1,075Tracked matches32%Win rate2023Tracked since
1,086Hours in CS6Hrs last 2 wks
CSDB Rating4.7 DevelopingAll-Rounder
Premier CS Rating12,546Blue band · top ~41.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (3 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.

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. 27 days played since 11 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 12,546 -4,022 11 Jul15 Sept · 29 days played
12,54617,491peak 17,49111 Jul15 Sept
17,693Peak Premier in tracked matches
27Days played since 2026-07-11

Premier CS Rating

  • 4,945 below peak (17,491)
  • -1,782 over 30 days · declining
  • Next: Purple band at 15,000 2,454 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-02
  • Light Blue band first seen 2026-09-02

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

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=19,543), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate43.8%41.9%44.3%meets
Shot accuracy1.0%9.6%11.8%10.9% short
Kill/death ratio1.050.981.03meets
Match win rate45.2%43.8%45.2%meets

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNola™PREMIER12,546 · Blue bandcsdb.gg/stats

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Performance scores

Aim62
Positioning59
Utility61

0–100 skill scores via Leetify.

Recent form

COLD39574Last 10039%Win rateWWLLLLLTLL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +6.8pp headshot accuracy · −63ms 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

  • 23 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 561ms

Last 10

  • 271 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 509ms

Last 20

  • 5141 · 25% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 540ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim6.2
Utility6.1
Positioning5.9
Opening Duels4.0

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 80% playstyle similarity

Most alike: utility contribution, positioning profile.

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

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

Aim6.2
Positioning5.9
Utility6.1
Mechanics4.3
Opening Duels3.7
Win Impact0.0

Composite 4.7/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time560ms−39ms
first ⅓ avg 599ms → last ⅓ avg 560ms
Headshot accuracy15.3%+1.1%
first ⅓ avg 14.2% → last ⅓ avg 15.3%

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

0.15Best match rating · 13–1 · mirage, 19 Jul
31%Best headshot accuracy · 9–13 · inferno, 15 Jul
375msFastest reaction time · 7–13 · anubis, 13 Jul
13–1Biggest win · mirage, 26 Jul

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
611In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 54% over 24dust2Weakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB24131154%0.01
infernoC1871139%0.01
anubisD1441029%0.00
ancientC146843%-0.00
dust2D1321115%0.00
nukeD93633%0.01
cacheB84450%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,799Lifetime kills
1.05K/D · Top 50% of Blue band
1,382Matches
45.2%Match win rate · Top 50% of Blue band
43.8%Headshot % · Top 50% of Blue band
1.0%Shot accuracy
4,080MVPs
2,468Hours (in match)
1,235Bombs planted
633Bombs defused

Most-used weapons

Lifetime map wins

2,204inferno
1,830dust2
1,387nuke
822vertigo
125train
37cbble
6italy
2ar_shoots

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.

15.0%Headshot accuracy
35.5%Accuracy (enemy spotted)
40.4%Spray accuracy
69.2%Counter-strafing
11.0°Preaim
545msReaction time
41.9%T opening success
48.1%CT opening success
0.62Enemies flashed / flash
10.1%Flash assists
10.14HE damage / grenade
8.16Flashes / 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 14.994% — below the 15% mark we flag

    Aim Training
Spend your practice time on Dust 2

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.0120%15 Sept
anubis13–110.0426%15 Sept
inferno2–13-0.0118%15 Sept
nuke3–13-0.0331%15 Sept
inferno14–160.0214%14 Sept
ancient6–130.0511%10 Sept
dust211–130.0216%9 Sept
anubis15–150.047%9 Sept
nuke6–13-0.0030%23 Aug
anubis6–13-0.0218%21 Aug
mirage11–13-0.0113%16 Aug
dust28–130.0513%12 Aug
mirage10–130.0315%12 Aug
inferno13–100.0421%8 Aug
inferno13–6-0.0310%5 Aug
mirage14–160.0113%4 Aug
anubis13–100.064%3 Aug
mirage11–130.059%3 Aug
nuke9–13-0.049%3 Aug
inferno5–130.0415%2 Aug
ancient3–13-0.0714%2 Aug
dust213–6-0.0114%30 Jul
anubis15–15-0.0326%30 Jul
anubis3–130.014%30 Jul
ancient13–8-0.0315%30 Jul
mirage11–130.0613%30 Jul
ancient13–50.0515%29 Jul
cache13–70.0220%28 Jul
dust210–130.0110%28 Jul
nuke7–13-0.0511%27 Jul
ancient12–16-0.0213%27 Jul
mirage11–130.0117%27 Jul
mirage13–100.0720%26 Jul
mirage13–9-0.0625%26 Jul
ancient13–40.0313%26 Jul
anubis9–130.019%26 Jul
ancient13–8-0.0018%26 Jul
ancient11–13-0.0011%26 Jul
mirage13–10.0212%26 Jul
inferno13–100.049%26 Jul
dust22–13-0.0313%26 Jul
dust210–13-0.0417%26 Jul
ancient13–80.0023%24 Jul
mirage13–11-0.065%24 Jul
dust212–160.0416%24 Jul
anubis6–130.0421%20 Jul
inferno16–13-0.0415%20 Jul
inferno10–13-0.0716%20 Jul
nuke13–11-0.0411%20 Jul
mirage13–6-0.0016%20 Jul
ancient13–160.0213%20 Jul
inferno13–100.0419%20 Jul
ancient11–130.0311%20 Jul
dust22–13-0.0416%20 Jul
anubis6–13-0.0212%19 Jul
mirage13–10.1517%19 Jul
inferno13–100.0212%19 Jul
mirage4–13-0.130%19 Jul
inferno15–15-0.0317%19 Jul
nuke13–10.0612%19 Jul
mirage13–11-0.0419%19 Jul
inferno13–90.1118%19 Jul
dust24–13-0.0713%18 Jul
mirage10–13-0.0318%18 Jul
nuke6–130.0418%18 Jul
anubis5–13-0.0913%18 Jul
mirage13–90.0312%18 Jul
cache13–60.0311%18 Jul
mirage10–130.0410%18 Jul
nuke6–130.0118%17 Jul
inferno1–13-0.043%17 Jul
mirage13–20.1123%17 Jul
nuke13–30.1120%17 Jul
ancient10–13-0.0514%17 Jul
dust213–70.1219%17 Jul
inferno9–130.0231%15 Jul
dust24–130.0421%15 Jul
cache14–16-0.0212%15 Jul
ancient8–13-0.0511%15 Jul
anubis7–13-0.059%13 Jul
mirage13–100.009%13 Jul
inferno8–13-0.0013%13 Jul
dust212–16-0.0116%13 Jul
cache7–13-0.086%13 Jul
inferno3–13-0.0620%13 Jul
cache13–10-0.026%13 Jul
mirage3–13-0.0822%13 Jul
inferno9–130.0517%13 Jul
anubis16–140.0115%12 Jul
cache13–100.0515%12 Jul
cache8–13-0.0310%11 Jul
inferno15–150.0213%11 Jul
ancient13–110.0417%11 Jul
cache11–13-0.035%11 Jul
mirage9–13-0.0413%11 Jul
mirage13–80.0721%11 Jul
anubis8–13-0.0311%11 Jul
anubis13–90.0410%11 Jul
mirage13–6-0.018%11 Jul
dust28–13-0.0319%11 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →