mikpet

mikpet — CS2 Stats

76561198290441046[U:1:330175318]Steam profile ↗✓ No bans

1,373Tracked matches45%Win rate2023Tracked since
CSDB Rating3.9 LearningAll-Rounder
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 41 days played since 3 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 7,316 -257 10 Jan19 Jan · 3 days played
6,9147,573peak 7,57310 Jan19 Jan
7,573Peak Premier in tracked matches
41Days played since 2025-08-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGmikpetFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim38
Positioning49
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY48466Last 10048%Win rateLWWWTLWWLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.8pp headshot accuracy · −36ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 311 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 556ms

Last 10

  • 631 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 611ms

Last 20

  • 1091 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 629ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim3.8
Utility3.3
Positioning4.9
Opening Duels4.3

Limited utility dependence

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

m0NESY

Plays most like m0NESY 78% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Reaction time. 632ms 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

Aim3.8
Positioning4.9
Utility3.3
Mechanics4.8
Opening Duels2.5
Win Impact3.3

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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time625ms−34ms
first ⅓ avg 658ms → last ⅓ avg 625ms
Headshot accuracy19.7%+0.2%
first ⅓ avg 19.5% → last ⅓ avg 19.7%

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

0.18Best match rating · 13–0 · vertigo, 21 Aug
38%Best headshot accuracy · 11–13 · office, 18 Mar
453msFastest reaction time · 8–13 · inferno, 5 Oct
13–0Biggest win · vertigo, 4 Oct

Across the last 100 tracked matches.

Highlights

7Longest win streak
106In matches decided by ≤2 rounds
2Overtime games

Map breakdown

anubisBest map · 80% over 5officeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC167944%-0.04
dust2B137654%-0.01
vertigoA117464%0.03
ancientD113827%-0.04
officeD82625%0.00
overpassB84450%-0.03
trainC73443%-0.02
cacheB63350%-0.02
anubisS54180%-0.05
mirage42250%-0.03
nuke42250%-0.03
italy220100%-0.05
shelter110100%-0.03
sanctum110100%-0.09
warden1010%-0.03
alpine1010%-0.02
palacio1010%-0.03

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.9%Headshot accuracy
24.4%Accuracy (enemy spotted)
28.1%Spray accuracy
71.4%Counter-strafing
10.0°Preaim
632msReaction time
34.5%T opening success
45.3%CT opening success
0.39Enemies flashed / flash
4.0%Flash assists
8.99HE damage / grenade
4.85Flashes / 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

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

    Enemies flashed per flash 0.3927 — below the 0.5 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 34.4929% — below the 40% mark we flag

Spend your practice time on Ancient

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache7–13-0.0818%19 Sept
dust213–7-0.0216%16 Sept
mirage13–80.0529%29 Aug
vertigo13–8-0.0720%29 Aug
ancient12–12-0.0116%21 Aug
nuke8–13-0.0527%21 Aug
vertigo9–10.1114%21 Aug
mirage13–4-0.0724%21 Aug
mirage7–13-0.0516%22 Jul
shelter13–8-0.0316%16 Jul
italy13–3-0.0327%16 Jul
office9–13-0.0128%15 May
cache13–70.0222%11 May
office6–130.0120%11 May
cache9–13-0.038%1 May
cache13–8-0.0318%1 May
office7–130.0127%1 May
cache11–13-0.0119%29 Apr
cache13–100.0019%29 Apr
train4–13-0.0127%24 Apr
office13–100.0413%24 Apr
inferno12–16-0.0111%13 Apr
ancient13–1-0.0419%13 Apr
office13–110.0520%10 Apr
office3–13-0.058%10 Apr
vertigo7–130.0322%8 Apr
train10–13-0.0629%5 Apr
dust29–13-0.0617%5 Apr
overpass5–13-0.0511%3 Apr
ancient1–13-0.0836%3 Apr
inferno13–11-0.0123%3 Apr
vertigo10–130.0517%18 Mar
italy13–8-0.0714%18 Mar
nuke13–90.0012%18 Mar
inferno4–13-0.1114%18 Mar
ancient9–13-0.0116%18 Mar
office10–13-0.0713%18 Mar
office11–130.0238%18 Mar
vertigo13–100.0617%17 Mar
overpass13–11-0.0324%17 Mar
dust213–4-0.0618%2 Feb
sanctum9–6-0.0921%25 Jan
warden7–13-0.0316%25 Jan
alpine12–12-0.0214%22 Jan
dust213–4-0.0114%19 Jan
anubis13–8-0.0930%19 Jan
train13–10.0011%19 Jan
inferno4–9-0.1724%12 Jan
inferno11–13-0.0429%12 Jan
nuke9–13-0.0624%12 Jan
anubis12–12-0.047%10 Jan
ancient16–14-0.1021%10 Jan
nuke13–5-0.0121%6 Jan
overpass10–13-0.076%6 Jan
inferno7–13-0.0014%20 Dec
dust29–130.0323%20 Dec
vertigo10–13-0.0420%20 Dec
vertigo11–13-0.0119%10 Dec
dust213–50.0524%10 Dec
inferno4–13-0.0716%7 Dec
dust23–13-0.0814%7 Dec
ancient10–13-0.0721%7 Dec
inferno8–13-0.097%5 Oct
palacio12–12-0.0311%4 Oct
inferno13–11-0.0312%4 Oct
anubis13–11-0.0411%4 Oct
vertigo13–00.0415%4 Oct
inferno13–9-0.0026%24 Sept
dust213–3-0.0120%24 Sept
anubis13–9-0.1024%24 Sept
overpass13–10-0.0618%23 Sept
mirage12–12-0.069%16 Sept
inferno13–50.0114%16 Sept
dust213–100.0014%8 Sept
ancient8–13-0.069%8 Sept
inferno10–130.0121%8 Sept
inferno13–8-0.1212%29 Aug
overpass13–110.0113%29 Aug
dust25–13-0.0121%29 Aug
ancient4–13-0.0414%29 Aug
ancient7–13-0.0131%22 Aug
train9–13-0.0021%22 Aug
dust213–60.0828%22 Aug
overpass13–6-0.0016%21 Aug
train13–4-0.0614%21 Aug
vertigo13–00.1827%21 Aug
dust29–13-0.1017%21 Aug
overpass12–12-0.0217%20 Aug
train13–11-0.0224%20 Aug
anubis13–30.0010%20 Aug
inferno7–9-0.0122%9 Aug
vertigo13–11-0.0629%9 Aug
overpass6–13-0.0132%9 Aug
ancient13–8-0.0234%9 Aug
ancient6–13-0.0015%5 Aug
inferno13–60.0426%5 Aug
dust211–13-0.0013%5 Aug
vertigo13–110.0017%3 Aug
inferno13–60.0118%3 Aug
train3–130.0018%3 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 →