Mapa

Mapa — CS2 Stats

FI76561197997121574[U:1:36855846]Steam profile ↗✓ No bans

1,471Tracked matches52%Win rate2020Tracked since
4,759Hours in CS10Hrs last 2 wks
CSDB Rating3.8 LearningSupport
Premier CS Rating14,151Blue band · top ~32.9% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

+404Premier CS Rating · 13,747 → 14,151

Rating over time

Premier CS Rating: 14,151 -2,020 18 Aug – 4 Nov · 27 days played
11,57416,363peak 16,36318 Aug4 Nov
16,882Peak Premier in tracked matches
29Days played since 2026-08-18

Premier CS Rating

  • 2,212 below peak (16,363)
  • +2,503 over 30 days · improving
  • -2,020 over 90 days
  • Next: Purple band at 15,000 — 849 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-29
  • Light Blue band first seen 2026-08-29

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 1 among CSDB-tracked players (n=2,367), 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 1 medianLevel 2 medianvs Level 2
Headshot rate46.0%40.9%41.3%above
Shot accuracy16.7%14.2%12.7%above
Kill/death ratio0.940.950.95meets
Match win rate42.3%42.1%42.6%meets

Across every metric we can compare, this profile already matches the typical Level 2 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGMapaFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER14,151 · Blue bandcsdb.gg/stats

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Performance scores

Aim35
Positioning40
Utility67

0–100 skill scores via Leetify.

Recent form

HOT47–50–3Last 10047%Win rateWWWWWLLWLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −2.5pp headshot accuracy · −72ms reaction

Win rate up 30pp 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 -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 573ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 614ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 650ms

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 (+3.1 against its own average).

Aim3.5
Utility6.7
Positioning4.0
Opening Duels0.0

Effective 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 55% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 655ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.5
Positioning4.0
Utility6.7
Mechanics3.2
Opening Duels1.2
Win Impact5.6

Composite 3.8/10 (Learning), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time641ms+39ms
first ⅓ avg 602ms → last ⅓ avg 641ms
Headshot accuracy20.7%+3.9%
first ⅓ avg 16.8% → last ⅓ avg 20.7%

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

0.12Best match rating · 16–13 · nuke, 8 Sept →
50%Best headshot accuracy · 9–13 · anubis, 30 Oct →
438msFastest reaction time · 7–13 · mirage, 12 Sept →
13–0Biggest win · inferno, 22 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W5Current streak
8–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 67% over 15ancientWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC198–1142%-0.02
cacheA1810–856%-0.04
infernoC187–1139%-0.02
nukeS1510–567%-0.01
ancientD112–918%-0.02
dust2B105–550%-0.01
anubisA95–456%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

125,519Lifetime kills
0.94K/D
6,824Matches
42.3%Match win rate · Top 50% of Level 1 players
46.0%Headshot % · Top 25% of Level 1 players
16.7%Shot accuracy · Top 25% of Level 1 players
12,582MVPs
2,965Hours (in match)
6,798Bombs planted
1,540Bombs defused

Most-used weapons

AK-4732,868
AWP8,692
UMP-453,946
P2503,061
AUG2,879

Lifetime map wins

12,452dust2
10,846inferno
5,538nuke
3,926train
2,130vertigo
548cbble
443office
190italy

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

Faceit stats

Combat

195Matches
46%Win rate
0.78Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.335.0
Overpass1100%0.6210.0

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.

21.0%Headshot accuracy
28.2%Accuracy (enemy spotted)
29.8%Spray accuracy
64.6%Counter-strafing
11.2°Preaim
655msReaction time
39.6%T opening success
28.3%CT opening success
0.78Enemies flashed / flash
6.4%Flash assists
9.79HE damage / grenade
13.93Flashes / 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

    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 39.5801% — 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–1-0.1113%4 Nov →
nuke13–8-0.0622%31 Oct →
cache13–7-0.0218%31 Oct →
dust213–80.0315%31 Oct →
nuke13–11-0.0216%30 Oct →
inferno8–130.0315%30 Oct →
mirage8–130.0025%30 Oct →
dust216–140.0011%30 Oct →
anubis9–13-0.0150%30 Oct →
cache13–5-0.0222%30 Oct →
nuke13–100.0116%30 Oct →
cache9–13-0.0542%23 Oct →
dust29–13-0.0134%23 Oct →
inferno13–110.0220%23 Oct →
cache7–13-0.0819%16 Oct →
anubis2–13-0.0315%16 Oct →
inferno13–8-0.0234%16 Oct →
ancient15–15-0.0519%16 Oct →
mirage13–10-0.0219%16 Oct →
nuke10–13-0.0413%16 Oct →
inferno6–13-0.0311%16 Oct →
mirage13–4-0.0319%16 Oct →
mirage13–2-0.0318%16 Oct →
mirage5–13-0.0638%10 Oct →
cache9–13-0.0113%10 Oct →
nuke13–4-0.0128%10 Oct →
cache13–11-0.0810%6 Oct →
nuke8–13-0.0317%26 Sept →
anubis2–13-0.044%25 Sept →
dust210–130.0129%23 Sept →
inferno10–13-0.0129%23 Sept →
inferno5–13-0.0317%23 Sept →
nuke13–11-0.0214%23 Sept →
mirage11–13-0.0613%22 Sept →
cache6–13-0.0913%22 Sept →
nuke13–5-0.0717%18 Sept →
inferno1–13-0.0540%18 Sept →
dust213–50.0318%18 Sept →
ancient9–13-0.0417%16 Sept →
dust24–13-0.140%16 Sept →
inferno13–8-0.0314%16 Sept →
ancient13–6-0.0518%12 Sept →
mirage7–13-0.0315%12 Sept →
cache13–100.0123%11 Sept →
inferno7–130.0320%11 Sept →
inferno3–13-0.0536%11 Sept →
ancient11–13-0.0222%11 Sept →
mirage16–14-0.0125%11 Sept →
nuke13–110.0212%11 Sept →
cache13–8-0.0319%9 Sept →
cache2–13-0.1028%8 Sept →
inferno10–13-0.0317%8 Sept →
cache13–5-0.0627%8 Sept →
nuke16–130.1230%8 Sept →
mirage13–10-0.0022%6 Sept →
ancient13–60.0521%6 Sept →
dust213–8-0.0129%6 Sept →
anubis13–10-0.0514%6 Sept →
inferno5–13-0.0810%6 Sept →
nuke13–50.0619%6 Sept →
ancient4–13-0.0715%5 Sept →
inferno13–80.0013%5 Sept →
cache6–13-0.018%4 Sept →
ancient7–13-0.0718%29 Aug →
cache3–13-0.0523%29 Aug →
inferno7–13-0.0513%29 Aug →
mirage13–100.0921%29 Aug →
nuke4–13-0.0420%29 Aug →
mirage2–13-0.125%27 Aug →
cache12–8-0.0117%27 Aug →
anubis13–3-0.016%27 Aug →
mirage11–13-0.0130%26 Aug →
inferno13–3-0.0419%26 Aug →
cache13–11-0.0118%26 Aug →
mirage13–40.0313%25 Aug →
anubis13–40.0215%24 Aug →
ancient15–150.0415%22 Aug →
dust214–16-0.0314%22 Aug →
nuke8–13-0.0425%22 Aug →
anubis15–150.0416%22 Aug →
inferno13–0-0.0219%22 Aug →
nuke13–7-0.0410%22 Aug →
cache5–130.017%22 Aug →
mirage10–130.0139%22 Aug →
inferno9–13-0.0213%22 Aug →
ancient7–13-0.0020%22 Aug →
ancient3–13-0.0335%20 Aug →
mirage2–13-0.088%20 Aug →
nuke6–130.0522%20 Aug →
dust211–130.0117%20 Aug →
inferno13–80.0123%20 Aug →
mirage10–130.0420%20 Aug →
ancient10–130.0310%19 Aug →
mirage11–13-0.0415%19 Aug →
cache13–9-0.0314%19 Aug →
anubis13–7-0.0220%19 Aug →
mirage10–13-0.047%18 Aug →
dust213–60.0111%18 Aug →
cache13–60.0113%18 Aug →
anubis13–50.0121%18 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 →

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