Nappoaivo

Nappoaivo — CS2 Stats

FI76561198211020376[U:1:250754648]Steam profile ↗✓ No bans

480Tracked matches53%Win rate2020Tracked since
1,983Hours in CS
CSDB Rating3.0 LearningSupport
Premier CS Rating14,518Blue band · top ~30.9% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (39 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.

Rating over time

Premier CS Rating: 14,518 +942 18 Mar – 27 Sept · 22 days played
12,56715,608peak 15,60818 Mar27 Sept
15,608Peak Premier in tracked matches
918Highest Faceit ELO seen on CSDB
33Days played since 2026-03-03

Faceit ELO

  • At peak — 918
  • Next: Level 5 at 1,051 — 133 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 1,090 below peak (15,608)
  • -95 over 30 days · steady
  • -21 over 90 days
  • Next: Purple band at 15,000 — 482 to go
  • Reached: 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.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 rate38.4%42.0%44.4%5.9% short
Shot accuracy12.8%9.6%11.9%above
Kill/death ratio0.820.981.030.21 short
Match win rate43.8%43.8%45.2%1.4% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGNappoaivoPREMIER14,518 · Blue bandPEAK ELO918csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim27
Positioning41
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateWWWLLLWLWL

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +4.6pp headshot accuracy · −41ms 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 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 675ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 626ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 646ms

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 against its own average).

Aim2.7
Utility4.4
Positioning4.1
Opening Duels1.5
Clutch3.6

Limited utility dependence

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 66% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 42% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 624ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 54% 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

Aim2.7
Positioning4.1
Utility4.4
Mechanics1.0
Opening Duels1.5
Win Impact6.1

Composite 3.0/10 (Learning), 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-0.02+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.02
Reaction time618ms−72ms
first ⅓ avg 690ms → last ⅓ avg 618ms
Headshot accuracy14.9%−0.7%
first ⅓ avg 15.6% → last ⅓ avg 14.9%

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 · 13–7 · mirage, 27 Sept →
42%Best headshot accuracy · 13–3 · inferno, 28 May →
422msFastest reaction time · 13–11 · nuke, 21 Sept →
13–0Biggest win · inferno, 3 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
10–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 64% over 22ancientWeakest map · 23% over 26
MapGradePlayedRecordWin rateAvg rating
ancientD266–2023%-0.05
infernoA2214–864%-0.03
nukeB2111–1052%-0.03
cacheA95–456%-0.05
dust2A95–456%-0.04
mirageB84–450%-0.03
anubis—20–20%-0.07
overpass—20–20%-0.05
vertigo—10–10%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 26). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

79,538Lifetime kills
0.82K/D
4,979Matches
43.8%Match win rate · Top 50% of Blue band
38.4%Headshot %
12.8%Shot accuracy · Top 50% of Blue band
8,319MVPs
1,983Hours (in match)
2,602Bombs planted
541Bombs defused

Most-used weapons

AK-4715,964
P907,082
AWP5,926
MP73,713
MAC-103,030
MP92,553

Lifetime map wins

16,368inferno
12,209office
2,147dust2
1,499nuke
1,002train
654cbble
355vertigo
188lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

57Matches
53%Win rate
0.83Avg K/D
70.8ADR
37%Headshot %

Clutches & streaks

38%1v1 clutch win
12%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno650%0.9513.3
Mirage425%0.508.5
Ancient333%0.8312.0
Nuke20%0.9017.0

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.

14.6%Headshot accuracy
30.6%Accuracy (enemy spotted)
35.2%Spray accuracy
54.3%Counter-strafing
12.2°Preaim
624msReaction time
26.5%T opening success
41.9%CT opening success
0.53Enemies flashed / flash
4.4%Flash assists
9.94HE damage / grenade
1.76Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2268° — above the 12° mark we flag

    Aim Training →
  2. 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 14.5759% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.763 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

23% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–2-0.0112%29 Sept →
inferno16–13-0.0214%27 Sept →
mirage13–70.0819%27 Sept →
ancient11–13-0.0425%23 Sept →
nuke11–130.0314%23 Sept →
inferno3–13-0.0421%23 Sept →
ancient13–6-0.0023%22 Sept →
nuke16–19-0.0512%22 Sept →
mirage13–11-0.0918%22 Sept →
ancient9–13-0.049%22 Sept →
ancient9–13-0.0710%22 Sept →
nuke10–13-0.0813%22 Sept →
cache13–10-0.067%21 Sept →
nuke13–11-0.0415%21 Sept →
ancient2–13-0.136%21 Sept →
inferno13–8-0.016%21 Sept →
inferno6–13-0.0414%19 Sept →
ancient5–130.0121%19 Sept →
nuke8–13-0.0915%13 Sept →
dust213–11-0.0315%13 Sept →
cache13–4-0.038%13 Sept →
inferno13–00.0221%3 Sept →
ancient11–13-0.0312%3 Sept →
inferno13–30.0319%3 Sept →
nuke13–110.0211%3 Sept →
ancient11–13-0.0515%3 Sept →
nuke13–40.0631%26 Aug →
inferno11–13-0.0316%26 Aug →
dust213–9-0.0613%26 Aug →
nuke13–50.036%26 Aug →
inferno13–11-0.0014%26 Aug →
inferno13–90.0414%26 Aug →
inferno5–13-0.0321%26 Aug →
dust210–13-0.0728%25 Aug →
dust210–13-0.0613%25 Aug →
ancient13–16-0.0315%25 Aug →
inferno13–60.0113%25 Aug →
nuke13–2-0.048%25 Aug →
inferno10–13-0.0217%25 Aug →
ancient4–13-0.078%25 Aug →
nuke7–130.0217%24 Aug →
ancient7–13-0.076%24 Aug →
inferno4–13-0.0713%19 Aug →
cache5–13-0.125%19 Aug →
ancient13–9-0.0310%11 Aug →
nuke13–50.0315%11 Aug →
inferno3–13-0.0619%11 Aug →
ancient13–10-0.0614%10 Aug →
nuke13–4-0.0933%9 Aug →
ancient9–13-0.0827%9 Aug →
cache13–3-0.074%9 Aug →
cache13–10-0.0210%9 Aug →
cache7–13-0.0617%9 Aug →
anubis8–13-0.035%9 Aug →
nuke13–5-0.0922%9 Aug →
inferno11–8-0.075%5 Aug →
mirage6–13-0.0511%4 Aug →
cache6–13-0.0127%14 Jul →
ancient4–13-0.0338%14 Jul →
inferno13–11-0.0513%14 Jul →
ancient6–13-0.0911%14 Jul →
dust213–10-0.1014%14 Jul →
dust210–130.0022%5 Jul →
cache5–13-0.0426%4 Jul →
cache13–11-0.0523%4 Jul →
nuke15–15-0.0517%24 Jun →
ancient13–60.0112%24 Jun →
nuke5–10-0.089%22 Jun →
ancient13–9-0.019%22 Jun →
ancient4–13-0.0813%11 Jun →
mirage10–13-0.048%3 Jun →
inferno13–3-0.0442%28 May →
nuke13–60.0421%28 May →
nuke11–13-0.0911%28 May →
dust213–11-0.0520%26 May →
inferno10–13-0.0720%10 Apr →
inferno13–11-0.0511%10 Apr →
anubis9–13-0.1016%10 Apr →
ancient7–13-0.0210%8 Apr →
vertigo12–12-0.0818%8 Apr →
overpass9–13-0.0517%31 Mar →
inferno13–7-0.0715%18 Mar →
ancient13–11-0.0612%18 Mar →
nuke13–9-0.0414%18 Mar →
nuke13–8-0.0416%18 Mar →
ancient3–13-0.0718%18 Mar →
mirage13–5-0.0013%18 Mar →
dust22–30.0120%18 Mar →
ancient11–130.0015%18 Mar →
mirage13–9-0.0516%17 Mar →
mirage4–13-0.0413%4 Mar →
ancient4–13-0.076%4 Mar →
inferno13–8-0.0411%3 Mar →
ancient7–13-0.1017%3 Mar →
dust213–10-0.0020%3 Mar →
overpass7–13-0.0416%3 Mar →
nuke9–13-0.058%3 Mar →
ancient3–13-0.0817%3 Mar →
mirage6–13-0.0427%3 Mar →
nuke1–13-0.0718%3 Mar →

Match data via Leetify.

Recent teammates

Milestones

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

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