NeaverY

NeaverY — CS2 Stats

76561197987557027[U:1:27291299]Steam profile ↗✓ No bans

749Tracked matches63%Win rate2021Tracked since
CSDB Rating6.4 SolidClutch Specialist
Premier CS Rating21,991Top 50% of 212,695 CSDB-tracked playersPink band · top ~6.3% of ranked players (population est.)
CSDB Leaderboard#56409 of 259571 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

+370Premier CS Rating · 21,621 → 21,991

Rating over time

Premier CS Rating: 21,991 -1,392 29 Jun – 2 Nov · 7 days played
20,24123,383peak 23,38329 Jun2 Nov
23,734Peak Premier in tracked matches
33Days played since 2026-06-29

Premier CS Rating

  • 1,392 below peak (23,383)
  • Next: Red band at 25,000 — 3,009 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGNeaverYPREMIER21,991 · Pink bandcsdb.gg/stats

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Performance scores

Aim72
Positioning58
Utility53

0–100 skill scores via Leetify.

Recent form

HOT49–51Last 10049%Win rateWLWWLWWWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −6.1pp headshot accuracy · +30ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 19%
  • Avg reaction 528ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 541ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 525ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.9 against its own average).

Aim7.2
Utility5.3
Positioning5.8
Opening Duels3.2
Clutch10.0

Strong CT-side openerReliable in 1v1s

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 92% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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 →

CSDB Rating breakdown

Aim7.2
Positioning5.8
Utility5.3
Mechanics5.0
Opening Duels4.8
Win Impact9.4

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time528ms+1ms
first ⅓ avg 528ms → last ⅓ avg 528ms
Headshot accuracy18.6%+0.8%
first ⅓ avg 17.8% → last ⅓ avg 18.6%

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

0.21Best match rating · 13–2 · cache, 20 Sept →
40%Best headshot accuracy · 8–13 · anubis, 2 Oct →
16msFastest reaction time · 0–7 · inferno, 29 Jun →
13–0Biggest win · anubis, 8 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 75% over 16infernoWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
anubisA2213–959%0.01
dust2C208–1240%-0.00
cacheS1612–475%0.03
ancientA148–657%-0.00
mirageD113–827%-0.01
infernoD91–811%-0.03
nukeB63–350%-0.02
train—11–0100%0.08
poseidon—10–10%-0.43

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

117Matches
51%Win rate
1.05Avg K/D
81.8ADR
40%Headshot %

Clutches & streaks

71%1v1 clutch win
29%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient667%1.0614.0
Anubis650%1.1918.2
Inferno520%1.0016.4
Nuke450%0.9914.5
Mirage367%1.3216.3
Cache367%1.6023.3
Overpass10%0.7311.0
Dust21100%1.1219.0

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.

18.9%Headshot accuracy
35.2%Accuracy (enemy spotted)
39.3%Spray accuracy
72.5%Counter-strafing
10.3°Preaim
527msReaction time
44.2%T opening success
54.3%CT opening success
0.51Enemies flashed / flash
6.5%Flash assists
8.57HE damage / grenade
10.51Flashes / match

Recommended for you

Spend your practice time on Inferno

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–7-0.0319%2 Nov →
nuke11–13-0.0918%2 Nov →
cache13–6-0.0713%2 Nov →
ancient13–8-0.1022%29 Oct →
anubis8–13-0.0224%29 Oct →
dust213–40.0511%29 Oct →
ancient13–10-0.0622%26 Oct →
dust213–40.0719%26 Oct →
inferno10–130.0215%26 Oct →
cache13–40.0712%26 Oct →
cache13–8-0.0124%20 Oct →
anubis10–130.0231%20 Oct →
anubis13–90.0827%20 Oct →
ancient8–13-0.0715%19 Oct →
mirage6–13-0.0731%19 Oct →
dust23–13-0.0731%19 Oct →
cache13–5-0.0219%19 Oct →
anubis13–110.058%18 Oct →
dust216–14-0.0023%14 Oct →
mirage13–20.0727%14 Oct →
ancient8–130.049%14 Oct →
anubis13–80.0116%14 Oct →
inferno8–130.0313%9 Oct →
mirage8–13-0.038%9 Oct →
cache13–90.0723%9 Oct →
ancient16–130.037%7 Oct →
dust212–16-0.0326%7 Oct →
nuke13–9-0.0123%7 Oct →
ancient13–100.0419%6 Oct →
cache13–30.1312%6 Oct →
dust213–100.0517%5 Oct →
anubis6–13-0.0215%5 Oct →
mirage8–130.0114%5 Oct →
nuke13–9-0.0115%2 Oct →
mirage9–2-0.0225%2 Oct →
anubis8–13-0.0240%2 Oct →
dust24–13-0.0126%2 Oct →
cache9–13-0.0410%2 Oct →
inferno4–13-0.0719%2 Oct →
mirage13–8-0.0110%2 Oct →
ancient13–40.067%2 Oct →
anubis13–100.0618%2 Oct →
cache16–13-0.0214%29 Sept →
nuke6–13-0.0221%29 Sept →
dust27–13-0.0731%29 Sept →
anubis13–90.0219%22 Sept →
cache13–80.0512%22 Sept →
mirage11–13-0.0119%20 Sept →
cache13–20.2117%20 Sept →
ancient8–13-0.0118%20 Sept →
inferno8–13-0.0014%16 Sept →
dust210–130.0128%16 Sept →
anubis13–80.0118%16 Sept →
dust29–13-0.0121%15 Sept →
cache8–130.0719%15 Sept →
anubis8–13-0.0516%13 Sept →
dust28–13-0.0222%13 Sept →
inferno7–9-0.0540%13 Sept →
anubis13–00.0922%8 Sept →
ancient13–100.0621%8 Sept →
dust211–130.0223%8 Sept →
train13–60.0825%8 Sept →
dust212–16-0.0422%3 Sept →
ancient13–60.0418%2 Sept →
mirage10–130.0529%2 Sept →
dust214–160.0118%2 Sept →
anubis13–100.0116%2 Sept →
anubis6–13-0.0230%1 Sept →
anubis13–90.0315%1 Sept →
inferno9–13-0.0420%1 Sept →
inferno9–13-0.0329%22 Aug →
cache8–13-0.0611%22 Aug →
dust213–30.0128%21 Aug →
ancient7–130.0220%21 Aug →
cache13–70.1021%21 Aug →
anubis8–130.0221%21 Aug →
nuke13–110.0323%17 Aug →
cache8–130.0121%16 Aug →
anubis10–130.0114%16 Aug →
dust213–110.0615%9 Aug →
cache13–110.0517%7 Aug →
anubis13–100.0628%7 Aug →
dust25–130.0017%4 Aug →
anubis13–90.0215%4 Aug →
cache13–11-0.0411%4 Aug →
nuke7–13-0.0120%4 Aug →
ancient13–5-0.035%12 Jul →
mirage1–13-0.0525%12 Jul →
dust213–11-0.0417%12 Jul →
dust28–13-0.0322%8 Jul →
anubis13–50.0214%8 Jul →
mirage8–130.0415%8 Jul →
ancient10–13-0.0413%8 Jul →
ancient14–16-0.0222%1 Jul →
anubis10–13-0.0416%1 Jul →
anubis13–8-0.0122%1 Jul →
inferno0–7-0.070%29 Jun →
dust213–11-0.0427%29 Jun →
mirage7–13-0.0514%29 Jun →
poseidon0–9-0.430%29 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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