peterpringle

peterpringle — CS2 Stats

AI76561198399153916[U:1:438888188]Steam profile ↗✓ No bans

481Tracked matches54%Win rate2020Tracked since
1,518Hours in CS0Hrs last 2 wks
CSDB Rating6.1 SolidSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

+14Tracked matches · now 481
+6.9ppWin rate · 46.7% → 53.6%

Rating over time

Premier CS Rating: 13,343 +1,792 25 Jun – 6 Jul · 6 days played
11,55113,978peak 13,97825 Jun6 Jul
14,422Peak Premier in tracked matches
41Days played since 2026-01-29

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 Level 3 among CSDB-tracked players (n=10,505), 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 playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate48.7%41.8%42.7%above
Shot accuracy15.6%12.2%11.2%above
Kill/death ratio0.810.980.990.18 short
Match win rate39.5%43.3%43.9%4.4% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpeterpringleFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning43
Utility66

0–100 skill scores via Leetify.

Recent form

COLD42–52–6Last 10042%Win rateTTWLLLLWLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +3.2pp headshot accuracy · +11ms reaction

Win rate down 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–2–2 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 542ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 547ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 542ms

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 (+2.5 against its own average).

Aim8.2
Utility6.6
Positioning4.3
Opening Duels1.4

Strong T-side openerEffective 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

iM

Plays most like iM 81% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 39 points — deaths here waste a strong aim profile.

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
Positioning4.3
Utility6.6
Mechanics7.2
Opening Duels1.4
Win Impact6.2

Composite 6.1/10 (Solid), 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-0.00+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time542ms−72ms
first ⅓ avg 614ms → last ⅓ avg 542ms
Headshot accuracy16.7%+2.1%
first ⅓ avg 14.6% → last ⅓ avg 16.7%

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 · 9–4 · inferno, 22 Mar →
36%Best headshot accuracy · 6–13 · nuke, 17 Sept →
359msFastest reaction time · 2–9 · inferno, 21 Aug →
13–0Biggest win · ancient, 19 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 63% over 8dust2Weakest map · 28% over 25
MapGradePlayedRecordWin rateAvg rating
dust2D257–1828%-0.02
infernoC167–944%-0.04
mirageB136–746%-0.03
nukeC125–742%-0.03
ancientB115–645%0.00
cacheC83–538%0.01
anubisA85–363%-0.00
vertigo—22–0100%0.02
overpass—21–150%-0.04
office—21–150%-0.01
train—10–10%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (28% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,190Lifetime kills
0.81K/D
2,585Matches
39.5%Match win rate
48.7%Headshot % · Top 25% of Level 3 players
15.6%Shot accuracy · Top 50% of Level 3 players
7,122MVPs
1,424Hours (in match)
1,093Bombs planted
1,472Bombs defused

Most-used weapons

AK-4713,466
AWP3,661
SSG 081,921
P250916
Knife763

Lifetime map wins

5,777dust2
3,025inferno
1,906nuke
1,195vertigo
1,071train
432cbble
418lake
399office

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

Faceit stats

Combat

35Matches
40%Win rate
0.71Avg K/D
—ADR
41%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

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.

16.2%Headshot accuracy
38.3%Accuracy (enemy spotted)
41.0%Spray accuracy
82.4%Counter-strafing
8.9°Preaim
542msReaction time
41.2%T opening success
27.5%CT opening success
0.73Enemies flashed / flash
4.6%Flash assists
10.48HE damage / grenade
10.16Flashes / 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 27.545% — below the 40% mark we flag

Spend your practice time on Dust 2

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

28% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–12-0.0520%6 Oct →
cache12–120.1018%1 Oct →
inferno13–80.0213%17 Sept →
nuke6–13-0.0136%17 Sept →
mirage3–13-0.1010%17 Sept →
dust26–13-0.0420%12 Sept →
nuke9–130.0321%12 Sept →
mirage13–100.018%12 Sept →
dust28–13-0.0110%8 Sept →
cache13–60.0118%8 Sept →
dust213–50.057%8 Sept →
dust27–13-0.0610%8 Sept →
inferno16–13-0.0510%8 Sept →
cache13–10-0.0120%8 Sept →
nuke7–13-0.0812%6 Sept →
inferno10–13-0.0622%6 Sept →
dust27–13-0.0018%21 Aug →
dust213–90.0721%21 Aug →
dust24–13-0.0913%21 Aug →
nuke13–5-0.0411%21 Aug →
inferno2–9-0.0718%21 Aug →
ancient13–110.0410%21 Aug →
dust27–13-0.0015%20 Aug →
ancient13–30.0723%20 Aug →
nuke10–13-0.0018%19 Aug →
ancient13–00.0824%19 Aug →
dust29–130.0412%18 Aug →
vertigo13–5-0.0213%3 Aug →
mirage13–40.0720%28 Jul →
anubis13–50.0729%24 Jul →
mirage13–110.0013%17 Jul →
inferno13–11-0.0318%17 Jul →
mirage9–13-0.0421%17 Jul →
dust213–9-0.0213%17 Jul →
mirage7–13-0.0616%6 Jul →
ancient6–13-0.0821%5 Jul →
dust28–13-0.0311%5 Jul →
dust27–13-0.0721%5 Jul →
overpass4–13-0.0513%5 Jul →
mirage13–80.0116%5 Jul →
cache11–13-0.0518%4 Jul →
nuke13–2-0.0710%2 Jul →
inferno13–70.0112%2 Jul →
anubis4–13-0.0418%2 Jul →
cache7–130.0818%2 Jul →
ancient5–13-0.063%2 Jul →
dust26–13-0.0122%2 Jul →
dust213–40.0128%30 Jun →
ancient11–13-0.039%30 Jun →
nuke7–13-0.063%28 Jun →
dust28–13-0.0618%28 Jun →
mirage13–9-0.0317%26 Jun →
ancient13–8-0.029%26 Jun →
anubis13–50.0615%26 Jun →
nuke13–3-0.039%26 Jun →
dust213–80.0229%26 Jun →
inferno6–13-0.0617%26 Jun →
ancient13–50.0717%25 Jun →
dust29–13-0.0813%25 Jun →
ancient10–13-0.0017%23 Jun →
mirage13–5-0.0313%23 Jun →
anubis13–11-0.0320%23 Jun →
dust213–100.0115%23 Jun →
dust23–13-0.0824%5 May →
cache8–13-0.009%5 May →
office6–130.0514%5 May →
cache13–80.0118%2 May →
cache12–12-0.0419%30 Apr →
vertigo13–40.063%29 Mar →
dust29–13-0.0123%29 Mar →
inferno9–40.1620%22 Mar →
inferno4–9-0.150%22 Mar →
nuke4–13-0.0616%22 Mar →
inferno6–13-0.0610%21 Mar →
nuke11–13-0.055%21 Mar →
inferno9–4-0.0714%17 Mar →
inferno8–8-0.0111%17 Mar →
overpass13–6-0.027%13 Mar →
ancient12–120.0210%12 Mar →
mirage12–12-0.0212%12 Mar →
dust211–130.0219%25 Feb →
nuke13–8-0.0521%23 Feb →
mirage7–13-0.0621%23 Feb →
ancient9–13-0.0511%23 Feb →
anubis5–13-0.029%23 Feb →
inferno5–13-0.0713%23 Feb →
mirage3–13-0.0527%13 Feb →
nuke13–60.0326%13 Feb →
inferno13–8-0.098%12 Feb →
dust213–60.0420%11 Feb →
mirage5–13-0.0915%11 Feb →
inferno8–130.0118%10 Feb →
inferno6–13-0.0514%10 Feb →
train9–13-0.0127%8 Feb →
office13–1-0.077%8 Feb →
anubis4–13-0.0310%8 Feb →
dust28–13-0.0412%6 Feb →
anubis13–80.0313%6 Feb →
anubis13–11-0.065%6 Feb →
dust29–13-0.0535%29 Jan →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.