NEA

NEA — CS2 Stats

76561198876706231[U:1:916440503]Steam profile ↗✓ No bans

2,186Tracked matches50%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
FaceitLevel 10 · 2,470 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGNEAFACEITLevel 10 · 2,470 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning61
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateWWWWLLLLLL

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · −5.1pp headshot accuracy · −103ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 481ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 524ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 576ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim7.9
Utility7.1
Positioning6.1
Opening Duels6.3
Clutch3.8

Strong CT-side openerEffective flashes

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

device

Plays most like device 90% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Strengths

CT openings. 64% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 64% on CT to 47% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 575ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim7.9
Positioning6.1
Utility7.1
Mechanics5.1
Opening Duels6.4
Win Impact5.0

Composite 6.6/10 (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+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time581ms−34ms
first ⅓ avg 615ms → last ⅓ avg 581ms
Headshot accuracy24.0%+0.6%
first ⅓ avg 23.4% → last ⅓ avg 24.0%

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

0.16Best match rating · 13–0 · inferno, 19 Nov →
48%Best headshot accuracy · 4–13 · mirage, 30 Dec →
328msFastest reaction time · 7–13 · mirage, 5 Sept →
13–0Biggest win · inferno, 19 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
7–12In matches decided by ≤2 rounds
17Overtime games

Map breakdown

infernoBest map · 85% over 13dust2Weakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
mirageB2813–1546%0.00
ancientC229–1341%-0.00
dust2C207–1335%0.02
infernoS1311–285%0.04
anubisB126–650%-0.00
vertigo—32–167%0.01
nuke—11–0100%-0.04
overpass—10–10%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,916Matches
51%Win rate
1.09Avg K/D
90.9ADR
52%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage40952%1.1217.6
Ancient32852%1.1217.7
Dust229950%1.2218.6
Anubis15647%1.0917.8
Inferno13851%1.1918.2
Vertigo1450%0.8413.9
Nuke1354%0.9517.5
Train1362%1.2117.5

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.

23.4%Headshot accuracy
36.5%Accuracy (enemy spotted)
38.4%Spray accuracy
72.8%Counter-strafing
8.3°Preaim
575msReaction time
47.1%T opening success
64.1%CT opening success
0.81Enemies flashed / flash
15.2%Flash assists
11.02HE damage / grenade
12.62Flashes / match

Recommended for you

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.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–110.0119%31 Oct →
inferno13–70.0723%25 Oct →
mirage13–70.0418%17 Oct →
mirage16–130.0510%4 Oct →
dust211–130.1024%29 Sept →
ancient9–130.0215%23 Sept →
dust21–13-0.0920%8 Sept →
mirage7–130.0732%5 Sept →
mirage8–130.0315%15 Aug →
anubis13–160.0330%30 Jun →
ancient11–13-0.0423%20 Mar →
mirage19–22-0.0223%17 Mar →
mirage13–10-0.0123%9 Mar →
inferno10–13-0.0322%7 Mar →
inferno13–100.0318%7 Mar →
dust21–13-0.0833%6 Mar →
dust214–16-0.0134%5 Mar →
dust213–110.0528%2 Mar →
mirage13–7-0.0128%2 Mar →
dust211–130.0625%1 Mar →
inferno13–90.0724%23 Feb →
anubis7–13-0.0923%23 Feb →
dust213–80.0921%15 Feb →
ancient13–100.0217%13 Feb →
ancient5–130.0444%27 Jan →
mirage16–13-0.0116%19 Jan →
inferno13–11-0.0230%15 Jan →
dust212–160.0629%13 Dec →
inferno13–70.0517%4 Dec →
ancient13–6-0.0423%23 Oct →
inferno16–14-0.0323%23 Oct →
dust29–130.1119%10 Sept →
dust27–130.0242%10 Sept →
dust25–130.0122%4 Sept →
ancient9–130.0520%4 Sept →
mirage13–30.0616%25 Aug →
ancient8–130.0020%20 Aug →
dust219–150.0524%21 Jun →
dust216–140.0418%6 Jun →
nuke13–9-0.0414%10 May →
ancient13–90.0525%2 May →
dust29–130.0016%26 Mar →
inferno13–70.0922%17 Mar →
anubis13–70.0520%17 Mar →
dust28–130.0135%24 Feb →
inferno11–130.018%22 Feb →
inferno13–100.0720%21 Feb →
mirage11–130.0029%17 Feb →
mirage6–130.0219%14 Feb →
ancient8–13-0.0435%9 Feb →
inferno13–40.0640%28 Dec →
ancient13–5-0.0418%20 Dec →
mirage11–13-0.0122%14 Dec →
ancient13–11-0.0341%10 Dec →
ancient8–130.0025%9 Dec →
anubis13–70.0245%25 Nov →
inferno13–00.1623%19 Nov →
anubis10–13-0.0221%19 Nov →
mirage13–7-0.0025%19 Nov →
dust26–13-0.0529%18 Nov →
mirage16–13-0.0419%18 Nov →
anubis16–13-0.0324%9 Nov →
ancient13–90.0725%9 Nov →
dust222–18-0.0226%9 Nov →
mirage13–80.0229%9 Nov →
ancient12–16-0.0320%1 Nov →
ancient6–13-0.0827%1 Nov →
mirage13–100.0526%1 Nov →
ancient13–90.0418%28 Oct →
anubis10–13-0.0215%26 Oct →
dust214–16-0.0533%20 Oct →
mirage13–60.0123%20 Oct →
mirage10–13-0.0225%20 Oct →
dust213–30.0135%19 Oct →
dust213–3-0.0014%19 Oct →
mirage13–3-0.0121%19 Oct →
anubis11–130.0321%8 Oct →
mirage10–130.0426%29 Sept →
mirage4–13-0.126%29 Sept →
ancient7–13-0.0326%14 Sept →
ancient13–30.0916%11 Sept →
anubis11–13-0.029%7 Sept →
anubis16–13-0.0123%4 Sept →
mirage13–90.1027%29 Aug →
mirage7–13-0.0414%26 May →
ancient11–13-0.0818%26 May →
vertigo6–13-0.0131%24 May →
ancient10–130.0120%30 Apr →
mirage9–130.0433%28 Apr →
mirage11–13-0.0627%25 Apr →
ancient13–8-0.0623%25 Apr →
overpass9–13-0.0124%28 Jan →
vertigo13–8-0.0226%28 Jan →
vertigo13–110.0525%28 Jan →
anubis16–120.0030%28 Jan →
anubis13–80.0231%7 Jan →
ancient4–13-0.017%7 Jan →
mirage9–13-0.0426%30 Dec →
mirage4–13-0.0248%30 Dec →
mirage19–22-0.0127%12 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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