ナンド!

ナンド! — CS2 Stats

US76561199006869289[U:1:1046603561]Steam profile ↗✓ No bans

180Tracked matches53%Win rate2025Tracked since
178Hours in CS
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating9,549Light Blue band · top ~57.1% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches11——
Win rate36%——
K/D0.94——
Headshot %39%——

Measured 12 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate43.8%39.9%42.0%above
Shot accuracy0.1%7.0%9.6%9.5% short
Kill/death ratio1.090.920.98above
Match win rate45.5%42.3%43.8%above

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGナンド!PREMIER9,549 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim72
Positioning59
Utility42

0–100 skill scores via Leetify.

Recent form

COLD55–38–7Last 10055%Win rateLWLLLLLLWW

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −2.2pp headshot accuracy · −48ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 609ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 618ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 642ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim7.2
Utility4.2
Positioning5.9
Opening Duels3.2

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

donk

Plays most like donk 96% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 657ms 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

Aim7.2
Positioning5.9
Utility4.2
Mechanics6.2
Opening Duels3.0
Win Impact6.1

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.00
first ⅓ avg 0.04 → last ⅓ avg 0.04
Reaction time669ms+8ms
first ⅓ avg 661ms → last ⅓ avg 669ms
Headshot accuracy15.8%+2.1%
first ⅓ avg 13.7% → last ⅓ avg 15.8%

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

0.30Best match rating · 9–4 · vertigo, 8 Sept →
33%Best headshot accuracy · 4–13 · dust2, 12 Sept →
461msFastest reaction time · 13–8 · dust2, 31 Aug →
13–1Biggest win · dust2, 26 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

dust2Best map · 61% over 33trainWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A3320–1361%0.05
infernoA2011–955%0.01
vertigoA127–558%0.04
nukeC94–544%0.04
trainD93–633%0.04
mirage—42–250%0.04
ancient—43–175%0.06
cache—32–167%0.03
anubis—32–167%0.09
overpass—31–233%0.03

Across the last 100 tracked matches.

Lifetime stats

9,884Lifetime kills
1.09K/D · Top 25% of Light Blue band
602Matches
45.5%Match win rate · Top 25% of Light Blue band
43.8%Headshot % · Top 50% of Light Blue band
0.1%Shot accuracy
1,435MVPs
178Hours (in match)
521Bombs planted
104Bombs defused

Most-used weapons

Lifetime map wins

1,859dust2
1,164inferno
345vertigo
225nuke
146train
6office
3italy
3ar_baggage

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.3%Headshot accuracy
42.4%Accuracy (enemy spotted)
46.8%Spray accuracy
77.9%Counter-strafing
11.4°Preaim
657msReaction time
42.7%T opening success
41.6%CT opening success
0.54Enemies flashed / flash
4.4%Flash assists
5.90HE damage / grenade
9.85Flashes / match

Recommended for you

Spend your practice time on Train

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage0–9-0.0223%13 Oct →
dust213–60.047%13 Oct →
nuke6–130.0716%8 Oct →
dust23–13-0.0715%8 Oct →
train3–13-0.087%8 Oct →
inferno5–13-0.0729%3 Oct →
inferno7–9-0.1419%19 Sept →
dust21–13-0.043%13 Sept →
dust213–110.1317%13 Sept →
dust211–00.0111%13 Sept →
dust24–13-0.0633%12 Sept →
inferno13–80.0424%10 Sept →
vertigo8–130.0214%8 Sept →
cache8–13-0.0318%8 Sept →
vertigo5–80.0215%8 Sept →
train10–130.018%8 Sept →
dust23–130.0012%8 Sept →
dust213–110.0721%8 Sept →
inferno13–80.0616%8 Sept →
vertigo9–60.078%8 Sept →
vertigo9–40.306%8 Sept →
nuke7–90.0326%7 Sept →
inferno13–11-0.0113%4 Sept →
cache13–100.0518%3 Sept →
anubis10–130.1214%1 Sept →
cache13–60.075%1 Sept →
dust213–20.2327%31 Aug →
dust213–80.0715%31 Aug →
dust213–40.2115%28 Aug →
nuke13–2-0.0419%26 Aug →
dust213–80.0319%26 Aug →
ancient13–80.1614%26 Aug →
mirage7–130.0113%26 Aug →
vertigo13–60.037%26 Aug →
anubis13–20.0811%26 Aug →
vertigo13–90.0410%26 Aug →
dust213–10.0227%26 Aug →
inferno13–60.0211%26 Aug →
mirage13–30.057%26 Aug →
dust26–130.0213%26 Aug →
ancient11–13-0.045%25 Aug →
dust213–80.0816%25 Aug →
vertigo13–80.0719%25 Aug →
train13–80.1510%23 Aug →
dust210–13-0.0010%23 Aug →
dust213–110.0613%23 Aug →
dust213–60.0611%22 Aug →
dust28–13-0.0410%22 Aug →
inferno12–120.0314%21 Aug →
dust211–130.0613%21 Aug →
inferno9–60.1213%21 Aug →
nuke6–80.0510%18 Aug →
dust213–100.1024%18 Aug →
train9–130.039%17 Aug →
nuke2–13-0.0015%13 Aug →
inferno13–60.029%13 Aug →
train8–130.0217%13 Aug →
ancient13–110.0613%11 Aug →
dust212–120.1419%11 Aug →
nuke13–110.0514%11 Aug →
inferno11–130.0913%11 Aug →
ancient13–30.0820%8 Aug →
dust210–130.0112%8 Aug →
nuke13–50.066%8 Aug →
vertigo12–12-0.099%8 Aug →
nuke12–120.0917%7 Aug →
vertigo13–9-0.0415%4 Aug →
dust23–13-0.0115%4 Aug →
inferno12–120.0311%4 Aug →
dust212–12-0.0212%4 Aug →
dust213–50.0614%4 Aug →
vertigo13–8-0.019%2 Aug →
anubis13–50.0822%2 Aug →
dust213–90.0617%2 Aug →
mirage13–60.1016%2 Aug →
train8–130.0322%2 Aug →
nuke13–20.0618%2 Aug →
overpass13–100.1017%1 Aug →
vertigo9–130.0516%1 Aug →
dust213–100.0310%1 Aug →
train13–60.2015%1 Aug →
dust213–80.0413%1 Aug →
inferno13–80.1110%1 Aug →
inferno5–13-0.0514%1 Aug →
train8–13-0.0511%1 Aug →
inferno13–100.0115%29 Jul →
vertigo8–13-0.0117%29 Jul →
inferno7–13-0.0216%28 Jul →
inferno13–10.0010%28 Jul →
overpass8–13-0.0416%28 Jul →
inferno6–13-0.074%28 Jul →
dust213–11-0.0114%28 Jul →
overpass5–130.0210%28 Jul →
inferno13–40.0617%28 Jul →
dust212–120.0414%28 Jul →
dust213–90.1319%28 Jul →
dust213–10.2312%27 Jul →
inferno3–2-0.030%27 Jul →
train13–30.058%27 Jul →
inferno4–13-0.0115%27 Jul →

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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