Neeck λ

Neeck λ — CS2 Stats

IT76561197966988517[U:1:6722789]Steam profile ↗✓ No bans

1,084Tracked matches62%Win rate2024Tracked since
CSDB Rating6.4 SolidSupport
Premier CS Rating17,256Purple band · top ~19.4% of ranked players (population est.)
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 17,256 → 17,256
+2Tracked matches · now 1,084
+3.8ppWin rate · 57.7% → 61.5%
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. 24 days played since 30 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

17,256Peak Premier on CSDB
24Days played since 2026-06-30

Premier CS Rating

  • At peak — 17,256
  • Next: Pink band at 20,000 2,744 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-18
  • Blue band first seen 2026-09-18

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

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CSDB.GGNeeck λPREMIER17,256 · Purple bandcsdb.gg/stats

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Performance scores

Aim88
Positioning45
Utility49

0–100 skill scores via Leetify.

Recent form

HOT42499Last 10042%Win rateWWWLWLWTWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −2.4pp headshot accuracy · +1ms 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

  • 41 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 9%
  • Avg reaction 489ms

Last 10

  • 721 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 10%
  • Avg reaction 501ms

Last 20

  • 1352 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 500ms

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: SupportUtility contribution stands above the rest of this profile (+1.5 against its own average).

Aim8.8
Utility4.9
Positioning4.5
Opening Duels0.8

Sharp aimerStrong CT-side opener

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

b1t

Plays most like b1t 86% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success.

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

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.8
Positioning4.5
Utility4.9
Mechanics7.4
Opening Duels1.4
Win Impact8.8

Composite 6.4/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time505ms−41ms
first ⅓ avg 546ms → last ⅓ avg 505ms
Headshot accuracy10.1%−1.1%
first ⅓ avg 11.2% → last ⅓ avg 10.1%

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

0.18Best match rating · 13–4 · inferno, 11 Sept
32%Best headshot accuracy · 7–13 · train, 17 Aug
359msFastest reaction time · 7–0 · office, 8 Sept
13–1Biggest win · anubis, 10 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
72In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 83% over 6cacheWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
officeC1661038%0.01
cacheD1531220%0.01
mirageC125742%0.00
dust2D124833%0.02
infernoC104640%0.02
nukeS86275%0.02
vertigoD72529%0.01
anubisS65183%0.00
ancientC52340%0.02
trainC52340%-0.01
overpass21150%-0.00
italy220100%0.03

Across the last 100 tracked matches.

Faceit stats

Combat

1Matches
0%Win rate
0.21Avg K/D
ADR
33%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

9.7%Headshot accuracy
46.4%Accuracy (enemy spotted)
45.8%Spray accuracy
83.1%Counter-strafing
9.2°Preaim
506msReaction time
26.4%T opening success
41.0%CT opening success
0.46Enemies flashed / flash
1.7%Flash assists
5.17HE damage / grenade
15.34Flashes / 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 9.7125% — below the 15% mark we flag

    Aim Training
  2. 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 0.4637 — below the 0.5 mark we flag

    Grenade Lineups
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 26.4032% — below the 40% mark we flag

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.

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage13–30.099%19 Sept
anubis13–50.065%19 Sept
overpass13–80.0316%15 Sept
vertigo7–130.039%15 Sept
office13–3-0.029%15 Sept
ancient10–130.014%15 Sept
mirage13–20.0217%15 Sept
mirage12–120.0012%15 Sept
inferno13–40.1810%11 Sept
anubis13–10.019%10 Sept
office12–12-0.0015%10 Sept
mirage7–13-0.0322%10 Sept
inferno5–130.029%10 Sept
italy13–100.018%10 Sept
mirage13–70.0214%9 Sept
office13–110.017%9 Sept
mirage13–7-0.025%8 Sept
inferno8–130.117%8 Sept
dust210–2-0.0118%8 Sept
office7–00.0419%8 Sept
vertigo13–9-0.0114%8 Sept
office10–130.088%4 Sept
office3–130.016%4 Sept
office12–12-0.023%4 Sept
office0–80.034%4 Sept
dust213–20.0817%1 Sept
cache13–9-0.018%1 Sept
ancient8–13-0.017%1 Sept
inferno9–130.018%1 Sept
mirage12–12-0.005%1 Sept
office5–13-0.055%1 Sept
ancient13–80.0318%1 Sept
overpass6–13-0.038%1 Sept
inferno12–12-0.054%28 Aug
ancient8–130.0312%28 Aug
cache13–40.0410%28 Aug
cache8–130.1010%28 Aug
cache8–13-0.0116%28 Aug
italy13–50.0522%25 Aug
office2–13-0.0216%25 Aug
cache4–13-0.078%25 Aug
train13–60.0716%25 Aug
anubis13–20.0110%25 Aug
dust213–110.0415%25 Aug
dust28–13-0.0220%25 Aug
cache0–13-0.0524%25 Aug
anubis13–9-0.040%22 Aug
inferno10–130.0313%22 Aug
cache10–13-0.0315%22 Aug
nuke13–9-0.024%22 Aug
mirage6–13-0.0322%21 Aug
inferno13–10-0.055%21 Aug
nuke13–6-0.0011%21 Aug
train7–13-0.0132%17 Aug
train10–00.065%17 Aug
train4–13-0.119%17 Aug
train2–13-0.0627%17 Aug
cache12–120.0012%7 Aug
cache5–130.006%7 Aug
office3–13-0.069%7 Aug
dust213–70.0515%7 Aug
vertigo9–130.0120%29 Jul
vertigo1–13-0.0214%29 Jul
vertigo12–12-0.0220%29 Jul
dust212–120.0313%28 Jul
cache10–130.0517%28 Jul
cache6–130.0113%28 Jul
ancient13–60.057%28 Jul
dust24–130.0512%28 Jul
dust210–13-0.0313%28 Jul
dust210–13-0.0113%24 Jul
vertigo6–13-0.019%24 Jul
dust25–130.1124%24 Jul
inferno13–11-0.0125%24 Jul
office9–13-0.084%24 Jul
anubis13–110.0016%24 Jul
anubis8–13-0.036%24 Jul
nuke13–40.028%21 Jul
cache4–60.0012%21 Jul
nuke13–110.1212%21 Jul
mirage13–50.023%21 Jul
inferno13–60.029%21 Jul
inferno2–13-0.088%21 Jul
vertigo13–20.0710%17 Jul
mirage5–13-0.0013%17 Jul
nuke13–100.0121%15 Jul
office13–110.046%10 Jul
office8–130.0510%10 Jul
mirage11–13-0.0013%3 Jul
nuke13–50.0313%3 Jul
nuke3–13-0.037%3 Jul
cache13–70.1216%3 Jul
office13–80.0511%2 Jul
cache12–12-0.0219%2 Jul
cache4–130.004%2 Jul
mirage4–13-0.066%30 Jun
office13–110.0411%30 Jun
nuke0–130.058%30 Jun
dust210–13-0.0414%30 Jun
dust22–10-0.038%30 Jun

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 →