hislastwords.nathan

hislastwords.nathan — CS2 Stats

76561198077636314[U:1:117370586]Steam profile ↗✓ No bans

1,875Tracked matches57%Win rate2025Tracked since
2,200Hours in CS46Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating4,546Grey band · top ~80.7% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

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CSDB.GGhislastwords.nathanPREMIER4,546 · Grey bandcsdb.gg/stats

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Performance scores

Aim76
Positioning50
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLWTLLLWLWW

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · +2.5pp headshot accuracy · −10ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 577ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 560ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 565ms

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 (+2.3 against its own average).

Aim7.6
Utility5.0
Positioning5.0
Opening Duels0.9
Clutch0.0

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

b1t

Plays most like b1t 91% 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

Areas to improve

CT openings. Opening success drops from 48% on T to 30% on CT — first contacts on the defending side are being lost.

Reaction time. 561ms 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

Aim7.6
Positioning5.0
Utility5.0
Mechanics5.8
Opening Duels2.3
Win Impact7.4

Composite 5.3/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time570ms−2ms
first ⅓ avg 572ms → last ⅓ avg 570ms
Headshot accuracy15.6%+3.0%
first ⅓ avg 12.6% → last ⅓ avg 15.6%

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 · 13–4 · nuke, 31 Oct →
27%Best headshot accuracy · 11–13 · dust2, 31 Oct →
375msFastest reaction time · 13–11 · mirage, 4 Nov →
13–1Biggest win · mirage, 17 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–3In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 58% over 24anubisWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA2414–1058%-0.00
infernoB136–746%0.02
ancientB137–654%0.01
nukeB136–746%-0.00
dust2B115–645%-0.00
anubisC94–544%-0.01
cacheB84–450%0.02
office—32–167%0.02
overpass—32–167%0.01
train—22–0100%0.03
vertigo—10–10%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,266Lifetime kills
0.94K/D
2,598Matches
44.2%Match win rate
33.6%Headshot %
0.1%Shot accuracy
4,607MVPs
851Hours (in match)
2,404Bombs planted
468Bombs defused

Most-used weapons

Lifetime map wins

3,505dust2
2,414nuke
2,375inferno
1,349train
416vertigo
296office
121italy
6ar_baggage

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

Faceit stats

Combat

7Matches
57%Win rate
0.83Avg K/D
60.1ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.5411.5
Ancient250%0.666.0
Nuke1100%1.3619.0
Anubis1100%1.0814.0
Dust21100%1.0014.0

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.

15.9%Headshot accuracy
37.5%Accuracy (enemy spotted)
40.8%Spray accuracy
76.1%Counter-strafing
8.8°Preaim
561msReaction time
48.2%T opening success
29.9%CT opening success
0.60Enemies flashed / flash
10.8%Flash assists
7.91HE damage / grenade
5.76Flashes / 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

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

    CT opening duels 29.8827% — 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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage14–16-0.0817%14 Nov →
inferno13–100.1025%14 Nov →
vertigo12–120.0519%14 Nov →
mirage10–13-0.0417%12 Nov →
inferno13–160.0111%12 Nov →
dust24–130.0315%11 Nov →
mirage13–110.0013%11 Nov →
anubis7–13-0.0214%10 Nov →
mirage13–110.006%10 Nov →
inferno13–90.0820%9 Nov →
dust26–13-0.0822%9 Nov →
ancient13–110.0318%8 Nov →
inferno13–40.0312%8 Nov →
dust213–90.0513%8 Nov →
anubis7–130.0113%7 Nov →
dust216–140.0513%7 Nov →
ancient2–2-0.060%7 Nov →
ancient16–140.0315%6 Nov →
mirage13–40.0115%5 Nov →
mirage13–11-0.0311%4 Nov →
nuke12–16-0.0416%3 Nov →
anubis13–90.0312%3 Nov →
dust23–13-0.0112%2 Nov →
dust213–40.0119%2 Nov →
mirage4–13-0.0220%2 Nov →
inferno5–13-0.0116%1 Nov →
mirage15–15-0.0217%1 Nov →
nuke13–40.1613%31 Oct →
mirage13–7-0.0122%31 Oct →
dust211–130.0127%31 Oct →
nuke3–13-0.0113%30 Oct →
office13–30.0613%30 Oct →
mirage10–13-0.0322%29 Oct →
cache5–13-0.0113%29 Oct →
ancient13–7-0.0416%29 Oct →
ancient13–8-0.066%28 Oct →
mirage13–100.0115%28 Oct →
anubis7–13-0.0413%27 Oct →
ancient13–40.0712%27 Oct →
mirage16–120.049%24 Oct →
ancient8–13-0.0416%24 Oct →
inferno7–130.007%24 Oct →
mirage13–50.0413%23 Oct →
nuke10–13-0.0415%23 Oct →
inferno13–6-0.019%23 Oct →
cache11–60.0411%23 Oct →
cache2–13-0.0410%23 Oct →
cache13–3-0.0120%23 Oct →
inferno11–130.008%23 Oct →
mirage6–130.0016%23 Oct →
nuke13–80.0610%23 Oct →
inferno7–130.0214%20 Oct →
nuke15–15-0.0315%18 Oct →
nuke13–100.0411%18 Oct →
inferno10–130.039%18 Oct →
ancient13–50.1023%18 Oct →
dust210–130.0417%18 Oct →
mirage13–80.0211%18 Oct →
ancient9–130.0713%17 Oct →
inferno13–70.018%17 Oct →
cache10–13-0.0310%17 Oct →
mirage13–10.0719%17 Oct →
cache13–40.0915%15 Oct →
anubis13–100.0118%15 Oct →
dust28–13-0.0322%15 Oct →
mirage4–130.0111%15 Oct →
overpass13–110.0117%14 Oct →
nuke13–80.0319%14 Oct →
nuke5–13-0.0116%12 Oct →
nuke13–9-0.0611%10 Oct →
overpass13–90.0215%10 Oct →
ancient6–130.0010%6 Oct →
ancient4–13-0.0417%6 Oct →
train11–1-0.0123%5 Oct →
inferno9–130.038%4 Oct →
cache13–10.1211%4 Oct →
anubis12–12-0.0111%4 Oct →
inferno13–50.0219%3 Oct →
cache10–130.0016%3 Oct →
overpass7–130.0022%3 Oct →
dust213–100.0115%30 Sept →
ancient8–130.039%24 Sept →
mirage5–13-0.1010%20 Sept →
ancient3–13-0.0211%10 Sept →
nuke9–13-0.0512%9 Sept →
nuke12–12-0.0110%7 Sept →
train13–30.084%7 Sept →
nuke13–9-0.0611%5 Sept →
dust213–9-0.079%5 Sept →
mirage5–13-0.0210%5 Sept →
office6–130.055%4 Sept →
office13–7-0.0419%4 Sept →
mirage13–100.039%3 Sept →
mirage13–80.0619%3 Sept →
anubis13–90.0516%1 Sept →
mirage13–6-0.012%1 Sept →
mirage13–100.0111%1 Sept →
anubis1–13-0.0719%31 Aug →
anubis13–4-0.014%31 Aug →
mirage8–130.0613%31 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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