carpolito

carpolito — CS2 Stats

76561197995162234[U:1:34896506]Steam profile ↗✓ No bans

4,202Tracked matches52%Win rate2020Tracked since
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating14,169Blue band · top ~32.8% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 14,169 +2,497 15 Aug – 4 Nov · 28 days played
11,07814,169peak 14,16915 Aug4 Nov
14,169Peak Premier in tracked matches
34Days played since 2026-08-15

Premier CS Rating

  • At peak — 14,169
  • +906 over 30 days · improving
  • +2,497 over 90 days
  • Next: Purple band at 15,000 — 831 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-20
  • Light Blue band first seen 2026-09-20

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

Share this profile

CSDB.GGcarpolitoFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER14,169 · Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning60
Utility25

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateWWWWWLLTWT

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −7.9pp headshot accuracy · +17ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 619ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 10%
  • Avg reaction 574ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 566ms

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: Positional Player — Positioning stands above the rest of this profile (+2.5 against its own average).

Aim4.1
Utility2.5
Positioning6.0
Opening Duels3.1
Clutch2.4

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

donk

Plays most like donk 72% 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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 48% on CT — first contacts on the defending side are being lost.

Reaction time. 600ms 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
Positioning6.0
Utility2.5
Mechanics4.6
Opening Duels6.8
Win Impact5.6

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time598ms+54ms
first ⅓ avg 545ms → last ⅓ avg 598ms
Headshot accuracy14.3%−0.2%
first ⅓ avg 14.5% → last ⅓ avg 14.3%

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.

Personal bests

0.18Best match rating · 13–6 · inferno, 23 Aug →
37%Best headshot accuracy · 13–8 · nuke, 20 Oct →
367msFastest reaction time · 16–12 · inferno, 20 Oct →
13–1Biggest win · nuke, 3 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
10–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 63% over 19dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
nukeA2615–1158%0.00
infernoA1912–763%0.00
ancientB199–1047%-0.01
cacheC104–640%-0.03
anubisC94–544%-0.01
dust2D81–713%-0.03
mirageD51–420%-0.02
poseidon—10–10%-0.09
debris—10–10%0.03
vertigo—11–0100%0.01
eldorado—11–0100%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

479Matches
47%Win rate
1.03Avg K/D
80.4ADR
32%Headshot %

Clutches & streaks

32%1v1 clutch win
18%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno8148%1.0715.1
Nuke7650%1.1416.0
Ancient6250%0.9815.9
Anubis2941%0.9918.0
Overpass1242%0.9716.1
Mirage617%0.8312.8
Vertigo667%1.1215.7
Train540%1.1119.6

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.

14.2%Headshot accuracy
29.2%Accuracy (enemy spotted)
37.3%Spray accuracy
70.9%Counter-strafing
12.3°Preaim
600msReaction time
65.9%T opening success
48.4%CT opening success
0.35Enemies flashed / flash
0.6%Flash assists
9.80HE damage / grenade
1.18Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2693° — above the 12° mark we flag

    Aim Training →
  2. 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 14.2468% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3538 — below the 0.5 mark we flag

    Grenade Lineups →
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.

13% win rate across 8 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
nuke16–140.0412%4 Nov →
nuke13–70.1214%1 Nov →
inferno13–11-0.0311%1 Nov →
nuke16–120.0410%1 Nov →
ancient13–11-0.047%31 Oct →
inferno7–13-0.027%30 Oct →
poseidon3–9-0.098%25 Oct →
debris8–80.038%25 Oct →
vertigo9–30.0112%25 Oct →
ancient15–150.0012%24 Oct →
nuke13–8-0.009%24 Oct →
nuke13–5-0.0117%23 Oct →
anubis7–13-0.0216%23 Oct →
dust212–16-0.0217%23 Oct →
nuke13–8-0.0337%20 Oct →
inferno16–12-0.0510%20 Oct →
ancient6–13-0.0415%20 Oct →
inferno9–13-0.0514%18 Oct →
nuke6–13-0.0119%16 Oct →
mirage9–130.0626%16 Oct →
inferno16–140.0910%16 Oct →
ancient10–13-0.048%11 Oct →
cache11–130.0111%11 Oct →
mirage6–13-0.0719%9 Oct →
dust26–13-0.0614%9 Oct →
dust27–13-0.0519%9 Oct →
anubis13–100.0618%9 Oct →
ancient13–50.0429%5 Oct →
nuke13–6-0.0210%5 Oct →
inferno5–13-0.0218%4 Oct →
nuke16–14-0.0113%3 Oct →
mirage13–10-0.0214%3 Oct →
nuke14–16-0.027%3 Oct →
nuke13–10.0811%3 Oct →
ancient16–130.0117%3 Oct →
dust24–13-0.0433%3 Oct →
ancient9–13-0.0212%3 Oct →
nuke13–100.0710%3 Oct →
inferno0–9-0.3117%3 Oct →
dust28–13-0.0419%1 Oct →
dust26–130.0130%29 Sept →
inferno5–00.0829%29 Sept →
cache13–8-0.053%29 Sept →
eldorado9–6-0.0312%29 Sept →
dust25–13-0.0514%27 Sept →
ancient11–13-0.0510%24 Sept →
nuke6–90.0213%24 Sept →
inferno3–9-0.1512%24 Sept →
cache6–13-0.029%20 Sept →
anubis8–13-0.0915%20 Sept →
nuke4–13-0.1011%20 Sept →
ancient13–100.029%18 Sept →
inferno13–60.1214%18 Sept →
nuke14–16-0.036%18 Sept →
anubis7–13-0.0528%18 Sept →
nuke9–13-0.027%17 Sept →
ancient13–110.0115%17 Sept →
dust213–50.0423%17 Sept →
ancient8–130.0511%17 Sept →
anubis13–100.0211%13 Sept →
nuke13–7-0.078%13 Sept →
cache11–13-0.058%13 Sept →
inferno13–80.0011%13 Sept →
ancient13–11-0.0816%13 Sept →
inferno1–13-0.0315%13 Sept →
anubis2–13-0.0315%13 Sept →
ancient10–130.0225%11 Sept →
inferno13–20.0813%11 Sept →
cache14–16-0.0218%11 Sept →
inferno13–40.077%11 Sept →
mirage9–13-0.0324%11 Sept →
nuke13–60.0617%5 Sept →
anubis13–4-0.009%5 Sept →
nuke10–13-0.0512%5 Sept →
cache16–120.019%30 Aug →
ancient13–10-0.0214%30 Aug →
nuke15–15-0.0015%30 Aug →
ancient13–110.068%30 Aug →
anubis10–13-0.009%27 Aug →
inferno8–13-0.0115%27 Aug →
nuke11–13-0.0216%27 Aug →
mirage8–13-0.026%27 Aug →
cache1–10-0.1125%26 Aug →
cache13–60.0121%26 Aug →
ancient3–13-0.0719%26 Aug →
inferno13–11-0.049%25 Aug →
inferno13–60.1823%23 Aug →
cache8–13-0.044%23 Aug →
ancient9–13-0.0718%22 Aug →
cache13–6-0.046%22 Aug →
anubis13–80.049%22 Aug →
nuke13–50.0526%22 Aug →
ancient13–80.0612%22 Aug →
nuke11–130.0133%19 Aug →
inferno13–40.029%19 Aug →
nuke11–13-0.0522%19 Aug →
inferno13–30.0717%16 Aug →
nuke13–110.0511%16 Aug →
ancient7–13-0.0410%15 Aug →
nuke8–2-0.0214%15 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 →

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