NBT

NBT — CS2 Stats

LI76561198068504809[U:1:108239081]Steam profile ↗✓ No bans

539Tracked matches39%Win rate2020Tracked since
4,539Hours in CS3Hrs last 2 wks
CSDB Rating4.5 DevelopingSupport
Premier CS Rating15,655Purple band · top ~25.8% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (9 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: 15,655 +1,141 16 Sept – 22 Oct · 17 days played
12,24317,931peak 17,93116 Sept22 Oct
18,624Peak Premier in tracked matches
44Days played since 2025-09-13

Premier CS Rating

  • 2,276 below peak (17,931)
  • -364 over 30 days · steady
  • Next: Pink band at 20,000 — 4,345 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-23
  • Blue band first seen 2026-09-23

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate47.4%44.4%46.9%meets
Shot accuracy18.6%11.9%13.0%above
Kill/death ratio1.011.031.080.07 short
Match win rate58.1%45.2%46.7%above

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

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNBTPREMIER15,655 · Purple bandcsdb.gg/stats

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Performance scores

Aim60
Positioning41
Utility42

0–100 skill scores via Leetify.

Recent form

COLD51–44–5Last 10051%Win rateWLLWTLLLLL

Last 10 vs previous 10: −50pp win rate · −0.03 avg rating · +3.5pp headshot accuracy · −38ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 563ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 554ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 573ms

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 (+1.4 against its own average).

Aim6.0
Utility4.2
Positioning4.1
Opening Duels0.0

Strong CT-side openerLimited 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 91% 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

T-side openings. Opening success drops from 37% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim6.0
Positioning4.1
Utility4.2
Mechanics6.9
Opening Duels0.9
Win Impact1.4

Composite 4.5/10 (Developing), 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 rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time595ms−17ms
first ⅓ avg 612ms → last ⅓ avg 595ms
Headshot accuracy20.1%+1.4%
first ⅓ avg 18.7% → last ⅓ avg 20.1%

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 · 9–0 · poseidon, 23 Jul →
67%Best headshot accuracy · 1–9 · inferno, 31 Jul →
422msFastest reaction time · 7–13 · inferno, 31 Dec →
13–0Biggest win · office, 14 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 80% over 5infernoWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
infernoC166–1038%-0.03
mirageB158–753%-0.00
ancientB136–746%-0.03
dust2A95–456%0.01
anubisB84–450%-0.01
nukeC83–538%-0.01
overpassB84–450%-0.02
cacheS54–180%-0.04
debris—42–250%0.01
office—43–175%0.09
train—32–167%0.03
vertigo—21–150%-0.06
golden—21–150%-0.03
poseidon—11–0100%0.21
eldorado—11–0100%-0.02
palacio—10–10%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

145,392Lifetime kills
1.01K/D
11,372Matches
58.1%Match win rate · Top 5% of Purple band
47.4%Headshot % · Top 50% of Purple band
18.6%Shot accuracy · Top 10% of Purple band
11,203MVPs
2,029Hours (in match)
3,550Bombs planted
884Bombs defused

Most-used weapons

AK-4740,976
AWP20,897
Negev5,675
P2503,395
P903,174

Lifetime map wins

5,737dust2
3,499inferno
1,528nuke
1,346cbble
781vertigo
597train
251italy
228lake

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

Faceit stats

Combat

130Matches
57%Win rate
1.56Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

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.

19.5%Headshot accuracy
30.2%Accuracy (enemy spotted)
34.7%Spray accuracy
81.0%Counter-strafing
10.8°Preaim
593msReaction time
22.5%T opening success
37.5%CT opening success
0.51Enemies flashed / flash
4.6%Flash assists
11.04HE damage / grenade
2.80Flashes / 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. Grenades & Utility

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

    Flashes per match 2.7981 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 22.4555% — below the 40% mark we flag

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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–5-0.0219%22 Oct →
inferno10–13-0.077%22 Oct →
dust29–130.0116%22 Oct →
cache13–9-0.096%22 Oct →
inferno15–15-0.0519%21 Sept →
ancient10–130.0116%21 Sept →
anubis7–13-0.0534%21 Sept →
nuke0–13-0.0430%21 Sept →
nuke8–13-0.0427%17 Sept →
cache8–13-0.0138%17 Sept →
anubis6–130.0129%17 Sept →
dust216–120.0324%17 Sept →
dust213–50.0316%24 Aug →
ancient11–13-0.0618%24 Aug →
mirage13–8-0.037%13 Aug →
ancient13–9-0.0116%13 Aug →
ancient16–14-0.0514%13 Aug →
inferno13–4-0.0317%6 Aug →
mirage15–15-0.0214%6 Aug →
inferno13–20.1121%6 Aug →
mirage9–13-0.0327%6 Aug →
dust29–13-0.0416%5 Aug →
cache13–6-0.0323%5 Aug →
mirage8–130.0113%5 Aug →
debris9–60.039%5 Aug →
overpass8–80.0314%5 Aug →
overpass3–9-0.149%31 Jul →
debris5–9-0.1113%31 Jul →
inferno1–9-0.1667%31 Jul →
dust24–13-0.0625%23 Jul →
ancient6–130.0328%23 Jul →
poseidon9–00.2111%23 Jul →
eldorado9–5-0.0224%23 Jul →
inferno1–13-0.0725%16 Jul →
mirage7–13-0.0410%16 Jul →
inferno14–160.0226%16 Jul →
office13–00.1328%14 Jul →
cache13–7-0.0520%14 Jul →
debris5–9-0.0623%13 Jul →
vertigo0–9-0.170%13 Jul →
debris9–10.1929%13 Jul →
cache16–13-0.0221%11 Jul →
mirage13–60.0011%30 Jun →
overpass13–60.0316%30 Jun →
ancient13–6-0.0311%30 Jun →
mirage15–15-0.0021%26 Jun →
anubis13–1-0.040%26 Jun →
mirage11–13-0.0115%26 Jun →
mirage13–4-0.019%3 Jun →
mirage13–11-0.0015%18 May →
dust26–13-0.058%18 May →
nuke13–6-0.0220%4 Apr →
ancient11–13-0.0614%4 Apr →
office13–60.0826%22 Mar →
overpass6–13-0.0218%13 Mar →
mirage13–10.1111%6 Mar →
anubis13–7-0.0512%6 Mar →
ancient13–11-0.0413%21 Feb →
nuke3–13-0.0413%16 Feb →
vertigo13–20.0514%13 Feb →
ancient6–13-0.0332%7 Feb →
inferno6–13-0.0223%7 Feb →
mirage13–100.0027%7 Feb →
anubis12–120.0117%4 Feb →
anubis8–13-0.0017%3 Feb →
inferno7–13-0.0619%2 Feb →
nuke13–30.0619%2 Feb →
anubis13–11-0.0338%2 Feb →
anubis13–40.0431%2 Feb →
ancient4–13-0.1129%2 Feb →
ancient13–100.0523%18 Jan →
nuke3–13-0.0514%17 Jan →
overpass13–60.0020%17 Jan →
dust213–40.0926%14 Jan →
overpass9–130.0017%3 Jan →
inferno7–13-0.0222%31 Dec →
inferno13–3-0.0718%31 Dec →
ancient16–12-0.0222%12 Dec →
mirage13–60.039%12 Dec →
ancient7–13-0.0625%12 Dec →
inferno13–6-0.0011%12 Dec →
overpass13–5-0.0217%30 Nov →
dust213–80.0214%30 Nov →
mirage7–13-0.0711%30 Nov →
train9–00.0620%11 Nov →
train13–70.0218%11 Nov →
nuke11–130.0313%11 Oct →
mirage13–7-0.008%11 Oct →
dust213–00.0621%11 Oct →
inferno9–13-0.029%11 Oct →
office5–130.0715%6 Oct →
golden13–5-0.0316%4 Oct →
office13–70.0630%4 Oct →
palacio11–13-0.0716%3 Oct →
golden5–13-0.0316%3 Oct →
overpass13–6-0.0113%25 Sept →
inferno6–13-0.0220%20 Sept →
inferno13–100.0424%16 Sept →
nuke13–80.0312%16 Sept →
train9–130.0018%13 Sept →

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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