big pete — CS2 Stats

76561198259368617[U:1:299102889]✓ No bans

1,132Tracked matches50%Win rate2020Tracked since
940Hours in CS
CSDB Rating3.9 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 medianLevel 5 medianvs Level 5
Headshot rate41.9%42.7%44.0%2.1% short
Shot accuracy16.6%10.8%11.6%above
Kill/death ratio0.861.001.030.16 short
Match win rate47.0%44.1%45.1%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbig peteFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim41
Positioning43
Utility22

0–100 skill scores via Leetify.

Recent form

COLD444610Last 10044%Win rateLTWLTLWLWL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim4.1
Aggression4.9
Utility2.2
Positioning4.3
Opening Duels2.1

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 75% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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 47% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 618ms 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

Aim4.1
Positioning4.3
Utility2.2
Mechanics4.9
Opening Duels2.2
Win Impact5.0

Composite 3.9/10 (Learning), 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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time626ms+16ms
first ⅓ avg 610ms → last ⅓ avg 626ms
Headshot accuracy15.3%−1.6%
first ⅓ avg 16.8% → last ⅓ avg 15.3%

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.

Highlights

0.14Best rating — nuke 13–2
131Biggest win — nuke
5Longest win streak
97In matches decided by ≤2 rounds
9Overtime games

Map breakdown

alpineBest map · 75% over 8infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageD1751229%-0.03
nukeB147750%-0.03
overpassB147750%-0.03
officeD134931%-0.05
anubisC83538%-0.03
infernoD82625%-0.05
alpineS86275%-0.03
ancientD62433%-0.02
dust2440100%-0.05
warden42250%-0.04
vertigo2020%-0.07
cache110100%-0.04
stronghold110100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,731Lifetime kills
0.86K/D
2,198Matches
47.0%Match win rate · Top 25% of Level 4 players
41.9%Headshot %
16.6%Shot accuracy · Top 25% of Level 4 players
5,086MVPs
940Hours (in match)
2,178Bombs planted
571Bombs defused

Most-used weapons

Lifetime map wins

4,329nuke
2,146vertigo
1,965office
1,928inferno
929dust2
588train
353cbble
115lake

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

Faceit stats

Combat

39Matches
54%Win rate
0.78Avg K/D
ADR
36%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLWL

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.

14.7%Headshot accuracy
29.6%Accuracy (enemy spotted)
36.0%Spray accuracy
72.1%Counter-strafing
11.9°Preaim
618msReaction time
29.2%T opening success
47.4%CT opening success
0.35Enemies flashed / flash
1.3%Flash assists
9.46HE damage / grenade
1.98Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.7338% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3527 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 29.2263% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
office6–13-0.1144%20 Jun
anubis15–15-0.049%17 Jun
cache13–3-0.0411%17 Jun
office7–13-0.0321%18 Apr
inferno12–12-0.039%1 Apr
office10–13-0.0816%27 Mar
dust213–5-0.0311%27 Mar
nuke10–13-0.0814%25 Mar
office13–20.0116%20 Mar
inferno6–13-0.0820%19 Mar
ancient12–12-0.048%19 Mar
office6–13-0.0619%16 Mar
vertigo1–13-0.0514%14 Mar
anubis13–5-0.077%14 Mar
nuke10–13-0.0513%12 Mar
office12–12-0.0212%12 Mar
overpass13–30.0128%12 Mar
alpine13–60.0415%25 Feb
mirage16–12-0.0210%25 Feb
warden13–4-0.0618%11 Feb
alpine11–13-0.058%9 Feb
overpass13–50.0111%8 Feb
nuke13–11-0.0319%8 Feb
anubis11–13-0.0117%8 Feb
mirage15–15-0.0416%7 Feb
mirage13–9-0.036%7 Feb
ancient4–13-0.0222%7 Feb
overpass15–15-0.0211%7 Feb
nuke13–20.1420%7 Feb
overpass6–13-0.0310%6 Feb
dust216–14-0.0220%6 Feb
mirage15–15-0.0015%6 Feb
mirage14–16-0.0312%6 Feb
anubis6–13-0.0317%6 Feb
mirage5–13-0.0719%5 Feb
anubis4–13-0.108%5 Feb
nuke6–13-0.018%5 Feb
nuke13–11-0.0125%5 Feb
mirage8–13-0.0111%5 Feb
inferno13–6-0.0119%5 Feb
anubis12–16-0.0212%5 Feb
anubis13–5-0.0210%5 Feb
mirage13–7-0.0213%5 Feb
overpass13–110.0113%4 Feb
alpine13–8-0.0210%4 Feb
dust213–11-0.0327%3 Feb
nuke9–13-0.084%3 Feb
warden9–13-0.0217%3 Feb
alpine13–8-0.0511%3 Feb
alpine5–13-0.0619%3 Feb
alpine13–110.0111%2 Feb
warden13–30.0211%2 Feb
warden12–12-0.099%1 Feb
ancient9–13-0.0414%22 Jan
overpass11–13-0.055%22 Jan
anubis13–40.0331%22 Jan
alpine13–9-0.0811%22 Jan
alpine13–6-0.0127%22 Jan
stronghold13–50.008%22 Jan
ancient10–13-0.0117%16 Jan
mirage13–8-0.0314%16 Jan
mirage6–130.0115%15 Jan
nuke10–13-0.057%15 Jan
office13–9-0.117%13 Jan
overpass3–13-0.0825%8 Jan
nuke13–6-0.074%7 Jan
nuke3–13-0.1023%2 Jan
nuke13–10.058%2 Jan
office12–12-0.0912%14 Dec
mirage9–13-0.0710%5 Dec
office9–13-0.0521%5 Dec
dust213–11-0.115%4 Dec
nuke13–110.0029%1 Dec
mirage14–16-0.0213%24 Nov
overpass13–30.0226%21 Nov
overpass5–13-0.0320%21 Nov
office5–13-0.0512%20 Nov
overpass7–13-0.0717%19 Nov
inferno8–13-0.0910%12 Nov
nuke13–5-0.0419%12 Nov
overpass13–7-0.044%12 Nov
ancient13–110.0522%12 Nov
inferno7–9-0.0432%4 Nov
office13–9-0.0718%4 Nov
inferno7–13-0.0414%3 Nov
mirage4–13-0.0813%3 Nov
overpass13–6-0.0821%3 Nov
mirage6–13-0.0612%3 Nov
inferno13–9-0.039%3 Nov
overpass13–7-0.0321%3 Nov
nuke11–13-0.0317%2 Nov
office13–100.0319%1 Nov
inferno10–13-0.0512%31 Oct
ancient13–10-0.0528%31 Oct
mirage10–13-0.0414%31 Oct
overpass9–13-0.0824%30 Oct
vertigo7–13-0.0919%24 Oct
mirage2–13-0.0817%24 Oct
mirage13–60.0024%24 Oct
office12–12-0.0417%24 Oct

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 →