Spuds

Spuds — CS2 Stats

AU76561198212261423[U:1:251995695]Steam profile ↗✓ No bans

2,153Tracked matches48%Win rate2020Tracked since
CSDB Rating6.9 SolidSupport
Premier CS Rating23,213Top 25% of 212,133 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#41071 of 259041 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (4 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: 23,213 +6,512 2 Sept – 27 Oct · 13 days played
16,70123,213peak 23,2132 Sept27 Oct
23,213Peak Premier in tracked matches
25Days played since 2025-08-27

Premier CS Rating

  • At peak — 23,213
  • Next: Red band at 25,000 — 1,787 to go
  • Reached: Pink band · 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.

Share this profile

CSDB.GGSpudsPREMIER23,213 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning61
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateLLWWLLLWLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −0.4pp headshot accuracy · +50ms reaction

Win rate 0pp 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 16%
  • Avg reaction 519ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 512ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 487ms

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 (+1.8 against its own average).

Aim8.2
Utility6.6
Positioning6.1
Opening Duels2.0
Clutch4.6

Effective flashes

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 85% playstyle similarity

Most alike: positioning profile, utility contribution.

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 58% on T to 42% on CT — first contacts on the defending side are being lost.

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

Aim8.2
Positioning6.1
Utility6.6
Mechanics7.5
Opening Duels4.9
Win Impact4.4

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time502ms−90ms
first ⅓ avg 592ms → last ⅓ avg 502ms
Headshot accuracy15.4%−0.4%
first ⅓ avg 15.7% → last ⅓ avg 15.4%

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 · 1–0 · inferno, 22 Sept →
50%Best headshot accuracy · 1–13 · inferno, 20 Sept →
328msFastest reaction time · 13–7 · inferno, 23 Oct →
13–0Biggest win · dust2, 11 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
15–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 70% over 10infernoWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
infernoC228–1436%-0.00
dust2B189–950%0.00
mirageA1811–761%-0.01
nukeA127–558%-0.01
ancientS107–370%0.00
cacheB63–350%-0.01
overpassS64–267%0.02
anubisA53–260%-0.03
train—21–150%0.05
vertigo—11–0100%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

544Matches
51%Win rate
1.05Avg K/D
80.0ADR
43%Headshot %

Clutches & streaks

43%1v1 clutch win
21%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient3650%0.9814.5
Dust23650%1.0315.8
Anubis3253%1.0914.8
Mirage3158%1.1214.7
Inferno2348%0.9815.4
Vertigo1675%1.0715.0
Overpass944%0.9917.9
Nuke967%1.0915.2

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.

15.6%Headshot accuracy
37.9%Accuracy (enemy spotted)
38.6%Spray accuracy
83.9%Counter-strafing
9.3°Preaim
513msReaction time
57.5%T opening success
41.5%CT opening success
0.74Enemies flashed / flash
6.8%Flash assists
9.14HE damage / grenade
17.82Flashes / match

Recommended for you

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.

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust23–9-0.088%31 Oct →
anubis5–13-0.049%31 Oct →
dust213–90.0626%31 Oct →
dust216–130.0013%27 Oct →
dust27–13-0.0422%27 Oct →
mirage2–13-0.088%27 Oct →
nuke7–13-0.0514%27 Oct →
nuke13–90.0115%24 Oct →
inferno9–13-0.0510%24 Oct →
ancient13–4-0.0013%24 Oct →
mirage13–7-0.0114%24 Oct →
inferno13–70.0217%23 Oct →
dust27–130.0321%23 Oct →
cache4–13-0.069%23 Oct →
dust216–14-0.0613%23 Oct →
nuke16–130.009%23 Oct →
dust210–13-0.0212%20 Oct →
ancient1–8-0.0815%20 Oct →
mirage11–13-0.0614%20 Oct →
cache15–150.0117%20 Oct →
dust213–40.0520%20 Oct →
dust228–260.0617%16 Oct →
ancient13–110.0222%16 Oct →
inferno2–8-0.0811%15 Oct →
anubis6–13-0.0812%15 Oct →
anubis13–90.023%15 Oct →
mirage13–11-0.0222%15 Oct →
anubis13–10-0.0127%13 Oct →
nuke10–13-0.0326%13 Oct →
nuke10–130.0219%13 Oct →
inferno7–13-0.0322%13 Oct →
ancient10–130.0110%11 Oct →
cache16–120.0218%11 Oct →
dust213–00.0611%11 Oct →
inferno7–13-0.0218%11 Oct →
cache11–13-0.0113%11 Oct →
cache13–9-0.0111%11 Oct →
ancient16–140.0419%5 Oct →
inferno13–6-0.0211%5 Oct →
cache13–5-0.0115%5 Oct →
nuke13–80.0016%29 Sept →
mirage13–7-0.0025%20 Sept →
inferno1–13-0.1050%20 Sept →
mirage11–130.0317%20 Sept →
inferno8–13-0.0018%20 Sept →
inferno5–13-0.0513%20 Sept →
anubis13–10-0.0610%20 Sept →
mirage13–70.0216%3 Oct →
nuke13–20.0211%3 Oct →
mirage13–100.0218%3 Oct →
dust27–13-0.0217%3 Oct →
dust29–130.0215%22 Sept →
inferno7–130.059%22 Sept →
inferno1–00.3050%22 Sept →
nuke13–11-0.047%22 Sept →
mirage3–130.006%22 Sept →
dust213–70.0417%22 Sept →
dust213–11-0.0922%22 Sept →
overpass13–4-0.0118%20 Sept →
ancient13–70.0113%20 Sept →
nuke13–40.0115%20 Sept →
mirage13–100.0313%20 Sept →
dust28–13-0.0413%20 Sept →
inferno13–50.1125%20 Sept →
train11–130.0314%19 Sept →
mirage9–13-0.0221%17 Sept →
inferno13–110.0416%17 Sept →
inferno12–12-0.0521%17 Sept →
dust27–130.0815%17 Sept →
nuke10–13-0.0313%15 Sept →
inferno3–13-0.0614%15 Sept →
mirage12–16-0.0314%15 Sept →
inferno9–13-0.0223%13 Sept →
overpass13–6-0.0217%13 Sept →
ancient10–130.0117%13 Sept →
mirage13–110.0217%13 Sept →
mirage16–140.0515%11 Sept →
mirage13–4-0.047%11 Sept →
inferno5–13-0.0613%11 Sept →
inferno13–20.0321%10 Sept →
ancient13–100.0510%10 Sept →
overpass11–30.079%10 Sept →
mirage13–2-0.0216%10 Sept →
ancient13–110.0014%10 Sept →
inferno8–13-0.0424%10 Sept →
mirage3–13-0.0319%10 Sept →
train13–110.0722%7 Sept →
ancient13–11-0.0510%7 Sept →
inferno13–20.0713%7 Sept →
dust213–11-0.0418%5 Sept →
overpass8–130.0710%5 Sept →
vertigo13–60.089%5 Sept →
inferno13–100.0217%5 Sept →
inferno8–13-0.0714%2 Sept →
overpass13–90.0114%2 Sept →
nuke10–13-0.0228%2 Sept →
mirage13–10-0.0215%2 Sept →
dust212–120.0418%27 Aug →
overpass9–13-0.0117%27 Aug →
nuke8–10.0315%27 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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