Peter Puffington

Peter Puffington — CS2 Stats

76561199697762272[U:1:1737496544]Steam profile ↗✓ No bans

563Tracked matches46%Win rate2024Tracked since
CSDB Rating3.6 LearningClutch Specialist
Premier CS Rating22,173Top 50% of 213,542 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#54359 of 260205 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (6 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: 22,173 +5,106 9 Jun – 1 Nov · 13 days played
16,63425,000peak 25,0009 Jun1 Nov
25,116Peak Premier in tracked matches
34Days played since 2026-06-09

Premier CS Rating

  • 2,827 below peak (25,000)
  • -1,350 over 90 days
  • Next: Red band at 25,000 — 2,827 to go
  • Reached: Red band · Pink band · Purple band · 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.GGPeter PuffingtonFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER22,173 · Pink bandcsdb.gg/stats

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Performance scores

Aim50
Positioning25
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY57–36–7Last 10057%Win rateWWWLWLLLTL

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −1.8pp headshot accuracy · +27ms reaction

Win rate up 20pp 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 (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 745ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 688ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 674ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5.8 against its own average).

Aim5.0
Utility2.6
Positioning2.5
Opening Duels0.0
Clutch9.4

Limited utility dependenceReliable in 1v1s

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

Twistzz

Plays most like Twistzz 97% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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. 673ms 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

Aim5.0
Positioning2.5
Utility2.6
Mechanics5.0
Opening Duels0.5
Win Impact3.8

Composite 3.6/10 (Learning), 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-0.05−0.07
first ⅓ avg 0.02 → last ⅓ avg -0.05
Reaction time683ms+39ms
first ⅓ avg 643ms → last ⅓ avg 683ms
Headshot accuracy20.5%−4.4%
first ⅓ avg 24.9% → last ⅓ avg 20.5%

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

0.33Best match rating · 13–2 · dust2, 7 Aug →
100%Best headshot accuracy · 2–0 · vertigo, 7 Oct →
430msFastest reaction time · 13–10 · mirage, 25 Aug →
13–1Biggest win · nuke, 10 Oct →

Across the last 100 tracked matches.

Highlights

12Longest win streak
W3Current streak
5–1In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 78% over 9anubisWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B2713–1448%0.00
cacheB147–750%-0.03
mirageA127–558%0.02
nukeS118–373%-0.02
anubisC94–544%-0.01
ancientS97–278%0.01
vertigoS86–275%0.02
infernoS75–271%0.00
train—30–30%-0.02

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.

Faceit stats

Combat

10Matches
60%Win rate
0.51Avg K/D
48.0ADR
43%Headshot %

Clutches & streaks

67%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis3100%0.528.0
Mirage20%0.548.5
Dust2250%0.489.0
Ancient1100%0.6210.0
Inferno1100%0.7710.0
Train10%0.132.0

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.

17.9%Headshot accuracy
30.6%Accuracy (enemy spotted)
32.4%Spray accuracy
72.6%Counter-strafing
8.5°Preaim
673msReaction time
34.4%T opening success
20.4%CT opening success
0.52Enemies flashed / flash
0.0%Flash assists
8.18HE damage / grenade
2.46Flashes / 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 2.4625 — 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 34.3808% — 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
cache13–4-0.1018%7 Nov →
vertigo13–9-0.029%7 Nov →
dust213–8-0.085%5 Nov →
dust23–13-0.0820%4 Nov →
anubis13–11-0.034%1 Nov →
cache10–13-0.059%1 Nov →
cache7–13-0.0420%25 Oct →
dust25–13-0.1026%24 Oct →
nuke12–12-0.0842%24 Oct →
ancient6–13-0.0510%23 Oct →
vertigo3–10-0.0012%22 Oct →
dust212–12-0.0615%21 Oct →
cache3–13-0.014%21 Oct →
anubis3–13-0.1031%20 Oct →
anubis3–13-0.0819%20 Oct →
cache13–10-0.0736%20 Oct →
cache7–130.0419%20 Oct →
dust28–13-0.0619%18 Oct →
anubis13–5-0.023%12 Oct →
inferno4–13-0.0123%11 Oct →
ancient13–8-0.029%11 Oct →
dust213–10-0.0413%11 Oct →
train1–13-0.0620%11 Oct →
inferno13–60.0019%11 Oct →
vertigo13–10-0.0821%11 Oct →
nuke13–1-0.1023%10 Oct →
mirage2–13-0.1011%10 Oct →
dust29–13-0.1035%10 Oct →
ancient13–7-0.0413%9 Oct →
ancient13–10.0428%8 Oct →
dust210–13-0.0519%8 Oct →
vertigo13–8-0.0521%7 Oct →
vertigo2–00.06100%7 Oct →
inferno13–100.0325%25 Aug →
anubis13–110.0715%25 Aug →
mirage13–10-0.0415%25 Aug →
cache13–80.0264%25 Aug →
ancient13–20.0837%25 Aug →
nuke13–30.0439%25 Aug →
vertigo13–80.1923%25 Aug →
ancient13–80.0026%22 Aug →
dust213–100.1328%22 Aug →
dust213–80.0323%21 Aug →
inferno4–10-0.0317%18 Aug →
dust213–7-0.0321%18 Aug →
vertigo13–50.0428%18 Aug →
nuke5–13-0.0813%17 Aug →
cache13–9-0.0328%17 Aug →
mirage13–90.0924%17 Aug →
dust211–130.0628%17 Aug →
mirage6–13-0.0530%16 Aug →
nuke13–50.0726%16 Aug →
dust212–12-0.0327%16 Aug →
cache5–130.0029%16 Aug →
anubis7–130.0423%15 Aug →
inferno13–90.0023%15 Aug →
dust23–130.0732%15 Aug →
train8–130.0420%13 Aug →
cache13–80.0223%13 Aug →
ancient13–100.0730%13 Aug →
train2–13-0.0315%13 Aug →
dust213–10-0.0216%13 Aug →
dust28–13-0.038%13 Aug →
ancient7–13-0.0525%11 Aug →
mirage6–13-0.0030%11 Aug →
mirage15–15-0.0717%11 Aug →
mirage13–10.0529%11 Aug →
cache13–40.0331%11 Aug →
dust213–80.0322%10 Aug →
mirage13–30.1329%10 Aug →
anubis1–13-0.0829%10 Aug →
nuke8–13-0.0223%10 Aug →
dust213–50.1041%9 Aug →
dust215–150.0728%9 Aug →
dust20–7-0.0725%8 Aug →
mirage13–80.0034%8 Aug →
nuke13–5-0.0119%8 Aug →
nuke13–30.0526%8 Aug →
vertigo12–12-0.0228%7 Aug →
nuke13–50.0137%7 Aug →
inferno13–40.0935%7 Aug →
dust213–20.3351%7 Aug →
dust213–50.0139%7 Aug →
dust29–130.0537%7 Aug →
ancient13–40.0924%7 Aug →
dust213–80.0713%7 Aug →
cache13–11-0.0319%7 Aug →
mirage13–10.2320%7 Aug →
nuke13–9-0.0216%6 Aug →
anubis13–60.1126%6 Aug →
cache6–13-0.1313%14 Jun →
dust213–2-0.096%14 Jun →
dust28–13-0.0824%14 Jun →
inferno9–6-0.0724%14 Jun →
mirage13–7-0.0113%10 Jun →
anubis10–13-0.0415%9 Jun →
nuke11–11-0.049%9 Jun →
mirage9–13-0.0419%9 Jun →
cache12–12-0.0623%9 Jun →
dust213–100.0421%9 Jun →

Match data via Leetify.

Recent teammates

Milestones

500 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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