naigoe

naigoe — CS2 Stats

76561197983159056[U:1:22893328]Steam profile ↗✓ No bans

797Tracked matches30%Win rate2020Tracked since
CSDB Rating4.4 DevelopingSupport
FaceitLevel 9 · 1,980 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,980 → 1,980
+19Tracked matches · now 797
−6.7ppWin rate · 36.7% → 30.0%

Rating over time

Premier CS Rating: 22,928 +805 30 Jul – 2 Sept · 9 days played
22,12323,735peak 23,73530 Jul2 Sept
Faceit ELO: 1,980 +0 2 Sept – 20 Sept · 2 observations
1,9801,980peak 1,9802 Sept20 Sept
23,759Peak Premier in tracked matches
1,980Highest Faceit ELO seen on CSDB
45Days played since 2026-07-20

Faceit ELO

  • At peak — 1,980
  • Next: Level 10 at 2,001 — 21 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-02
  • Level 8 first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGnaigoeFACEITLevel 9 · 1,980 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,980csdb.gg/stats

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Performance scores

Aim54
Positioning55
Utility73

0–100 skill scores via Leetify.

Recent form

COLD46–54Last 10046%Win rateWWLLLLLLWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +4.2pp headshot accuracy · +55ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 567ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 628ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 601ms

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 (+3.2 against its own average).

Aim5.4
Utility7.3
Positioning5.5
Opening Duels0.1
Clutch3.4

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

iM

Plays most like iM 59% 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

Reaction time. 596ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim5.4
Positioning5.5
Utility7.3
Mechanics4.3
Opening Duels1.5
Win Impact0.0

Composite 4.4/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time599ms+14ms
first ⅓ avg 585ms → last ⅓ avg 599ms
Headshot accuracy13.2%−1.9%
first ⅓ avg 15.1% → last ⅓ avg 13.2%

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

0.08Best match rating · 13–3 · anubis, 6 Aug →
26%Best headshot accuracy · 11–13 · dust2, 31 Jul →
367msFastest reaction time · 8–13 · ancient, 31 Aug →
13–1Biggest win · inferno, 5 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
11–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 71% over 7anubisWeakest map · 30% over 23
MapGradePlayedRecordWin rateAvg rating
ancientB2411–1346%-0.01
anubisD237–1630%-0.02
cacheA2113–862%0.00
nukeC166–1038%-0.03
infernoS75–271%-0.02
dust2D62–433%-0.01
mirage—22–0100%-0.02
vertigo—10–10%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 23). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

571Matches
54%Win rate
0.99Avg K/D
72.3ADR
38%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient8748%0.9514.6
Nuke6461%0.9613.8
Anubis6248%0.9714.0
Dust25044%0.9013.2
Inferno3459%0.8712.8
Overpass2065%0.9713.5
Cache1861%1.0216.9
Mirage838%0.588.6

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.

13.5%Headshot accuracy
34.8%Accuracy (enemy spotted)
39.5%Spray accuracy
69.6%Counter-strafing
10.7°Preaim
596msReaction time
40.6%T opening success
31.7%CT opening success
0.54Enemies flashed / flash
5.8%Flash assists
13.53HE damage / grenade
15.87Flashes / 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 13.4507% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.7049% — below the 40% mark we flag

Spend your practice time on Anubis

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

30% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–70.0519%2 Nov →
cache13–70.0413%2 Nov →
anubis14–16-0.0210%30 Oct →
dust23–13-0.027%24 Oct →
cache14–160.0316%18 Oct →
anubis7–13-0.0321%18 Oct →
anubis4–13-0.0115%18 Oct →
nuke11–130.0523%18 Oct →
cache13–8-0.0512%3 Oct →
anubis13–16-0.099%2 Oct →
ancient8–130.0311%2 Oct →
anubis13–40.0310%2 Oct →
anubis10–13-0.108%29 Sept →
ancient9–13-0.0010%28 Sept →
anubis7–13-0.056%27 Sept →
cache13–110.0215%27 Sept →
anubis13–7-0.010%27 Sept →
ancient16–140.0617%27 Sept →
nuke10–130.0118%19 Sept →
ancient7–130.039%19 Sept →
cache3–13-0.0917%17 Sept →
ancient9–13-0.0321%17 Sept →
ancient5–13-0.0612%14 Sept →
anubis9–130.0122%14 Sept →
ancient10–130.0414%13 Sept →
nuke4–13-0.0517%11 Sept →
nuke13–70.018%9 Sept →
anubis8–130.0122%9 Sept →
cache7–13-0.0012%7 Sept →
ancient13–110.038%7 Sept →
nuke8–13-0.0815%4 Sept →
inferno9–13-0.0213%4 Sept →
anubis4–13-0.107%4 Sept →
nuke13–9-0.059%2 Sept →
ancient8–13-0.0418%31 Aug →
vertigo10–130.0320%31 Aug →
cache13–8-0.048%30 Aug →
nuke5–13-0.0913%25 Aug →
nuke13–110.0120%25 Aug →
ancient16–140.0021%25 Aug →
nuke12–16-0.057%23 Aug →
anubis13–10-0.0113%23 Aug →
ancient13–8-0.0716%23 Aug →
nuke9–13-0.0115%23 Aug →
cache7–130.0819%23 Aug →
cache11–13-0.0510%23 Aug →
inferno9–13-0.0114%22 Aug →
anubis9–130.0714%22 Aug →
cache19–17-0.0214%21 Aug →
ancient13–100.0210%20 Aug →
anubis13–100.0317%19 Aug →
ancient8–13-0.0113%19 Aug →
nuke13–40.0520%19 Aug →
anubis7–13-0.0311%19 Aug →
cache8–130.0310%18 Aug →
anubis10–13-0.0321%18 Aug →
ancient13–50.086%18 Aug →
ancient13–11-0.0917%17 Aug →
cache16–140.0315%17 Aug →
ancient6–130.0518%12 Aug →
cache9–13-0.0115%11 Aug →
ancient13–30.0413%10 Aug →
cache19–17-0.0114%8 Aug →
nuke13–7-0.0517%8 Aug →
ancient13–9-0.0015%8 Aug →
cache13–60.029%8 Aug →
nuke11–13-0.0615%8 Aug →
inferno13–90.0118%8 Aug →
ancient5–13-0.0113%8 Aug →
ancient1–13-0.1210%7 Aug →
dust29–130.0411%6 Aug →
cache13–90.018%6 Aug →
anubis13–30.0815%6 Aug →
mirage13–9-0.0312%5 Aug →
nuke11–130.0215%5 Aug →
inferno13–10.0613%5 Aug →
cache13–90.0218%3 Aug →
anubis12–16-0.0016%3 Aug →
cache13–6-0.0119%2 Aug →
mirage13–8-0.0019%2 Aug →
cache13–5-0.0114%1 Aug →
ancient4–13-0.0713%1 Aug →
cache11–13-0.0313%1 Aug →
anubis10–13-0.058%31 Jul →
dust211–13-0.0526%31 Jul →
cache13–100.0824%31 Jul →
ancient8–13-0.0312%30 Jul →
inferno13–4-0.068%30 Jul →
ancient13–70.0413%30 Jul →
anubis10–13-0.0610%30 Jul →
dust213–11-0.0116%30 Jul →
inferno13–8-0.0411%30 Jul →
anubis9–13-0.0716%29 Jul →
ancient13–9-0.0414%28 Jul →
dust28–13-0.0217%26 Jul →
nuke13–3-0.0418%26 Jul →
anubis13–10-0.0213%26 Jul →
dust213–11-0.0222%22 Jul →
inferno13–9-0.0520%22 Jul →
nuke6–13-0.1024%20 Jul →

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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