iago Lupercal

iago Lupercal — CS2 Stats

76561198370675214[U:1:410409486]Steam profile ↗✓ No bans

920Tracked matches61%Win rate2020Tracked since
CSDB Rating5.8 SolidAll-Rounder
Premier CS Rating17,352Purple band · top ~19% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 920 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 40 days played since 15 Apr 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 17,352 +2,361 15 Apr16 Sept · 32 days played
10,89917,352peak 17,35215 Apr16 Sept
17,603Peak Premier in tracked matches
40Days played since 2026-04-15

Premier CS Rating

  • At peak — 17,352
  • +2,247 over 30 days · improving
  • +6,169 over 90 days
  • Next: Pink band at 20,000 2,648 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGiago LupercalPREMIER17,352 · Purple bandcsdb.gg/stats

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Performance scores

Aim61
Positioning46
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY46477Last 10046%Win rateLWWWLWWWLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +0.1pp headshot accuracy · +52ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 578ms

Last 10

  • 64 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 609ms

Last 20

  • 1361 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 584ms

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.

Aim6.1
Utility5.1
Positioning4.6
Opening Duels3.5

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 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 604ms 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

Aim6.1
Positioning4.6
Utility5.1
Mechanics7.2
Opening Duels3.0
Win Impact8.6

Composite 5.8/10 (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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time610ms−39ms
first ⅓ avg 649ms → last ⅓ avg 610ms
Headshot accuracy12.7%−0.0%
first ⅓ avg 12.7% → last ⅓ avg 12.7%

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

0.13Best match rating · 13–1 · overpass, 29 Apr
30%Best headshot accuracy · 6–0 · dust2, 1 Aug
438msFastest reaction time · 10–13 · dust2, 30 Jun
13–0Biggest win · cache, 29 Apr

Across the last 100 tracked matches.

Highlights

5Longest win streak
1312In matches decided by ≤2 rounds
16Overtime games

Map breakdown

nukeBest map · 63% over 8mirageWeakest map · 33% over 30
MapGradePlayedRecordWin rateAvg rating
mirageD30102033%-0.01
dust2C2191243%0.00
cacheB20101050%-0.01
ancientB84450%-0.01
nukeA85363%-0.01
infernoC52340%-0.01
anubis43175%-0.04
overpass43175%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 30). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

13.0%Headshot accuracy
32.6%Accuracy (enemy spotted)
35.8%Spray accuracy
82.4%Counter-strafing
9.4°Preaim
604msReaction time
36.6%T opening success
47.3%CT opening success
0.51Enemies flashed / flash
4.3%Flash assists
8.85HE damage / grenade
6.96Flashes / 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 12.9527% — below the 15% mark we flag

    Aim Training
  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 36.606% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.059%8 Sept
mirage13–5-0.0124%8 Sept
cache13–9-0.0317%8 Sept
nuke13–4-0.025%6 Sept
ancient12–160.0318%6 Sept
mirage13–60.0115%6 Sept
cache13–110.0220%5 Sept
nuke13–110.0110%5 Sept
inferno4–13-0.0511%1 Sept
cache7–13-0.0310%1 Sept
ancient13–9-0.036%30 Aug
cache13–60.0219%30 Aug
dust211–13-0.0112%29 Aug
anubis13–4-0.038%29 Aug
dust211–13-0.0615%29 Aug
mirage13–100.0414%15 Aug
mirage13–60.119%15 Aug
nuke13–5-0.0124%15 Aug
dust213–11-0.0422%15 Aug
mirage15–15-0.049%14 Aug
dust215–150.0211%14 Aug
ancient13–100.0510%12 Aug
nuke10–13-0.0218%12 Aug
mirage11–130.0323%12 Aug
dust28–13-0.028%11 Aug
mirage10–130.027%11 Aug
nuke13–80.017%9 Aug
cache13–30.0613%9 Aug
mirage6–13-0.083%9 Aug
cache13–11-0.0210%9 Aug
dust213–110.0116%8 Aug
ancient13–110.037%8 Aug
dust210–13-0.068%8 Aug
cache13–40.0910%8 Aug
dust213–70.0620%8 Aug
mirage6–130.037%5 Aug
cache6–13-0.0720%5 Aug
nuke5–13-0.0214%5 Aug
mirage13–110.0712%4 Aug
dust214–160.0013%4 Aug
dust213–7-0.017%2 Aug
dust215–15-0.0412%2 Aug
cache10–13-0.028%1 Aug
ancient9–13-0.0426%1 Aug
mirage4–13-0.0812%1 Aug
mirage2–13-0.0817%1 Aug
dust26–0-0.0130%1 Aug
cache12–16-0.0113%1 Aug
cache10–130.0111%1 Aug
dust213–60.1221%1 Aug
anubis6–13-0.0412%29 Jul
cache7–13-0.0615%29 Jul
cache7–13-0.0111%28 Jul
nuke13–11-0.0115%28 Jul
mirage13–11-0.0211%26 Jul
cache13–100.0213%26 Jul
mirage13–11-0.0114%25 Jul
inferno13–8-0.0110%24 Jul
mirage15–15-0.0116%24 Jul
cache13–16-0.040%24 Jul
mirage13–40.1117%21 Jul
mirage10–130.0111%19 Jul
cache16–14-0.028%14 Jul
mirage9–13-0.0811%11 Jul
cache13–10-0.028%11 Jul
overpass13–5-0.018%8 Jul
cache11–130.0111%8 Jul
dust215–15-0.004%1 Jul
mirage14–16-0.034%30 Jun
dust210–130.086%30 Jun
mirage7–13-0.048%28 Jun
ancient5–13-0.069%28 Jun
dust213–70.1322%28 Jun
anubis13–1-0.0519%25 Jun
dust213–9-0.0322%25 Jun
nuke15–150.0222%13 Jun
inferno5–13-0.0013%12 Jun
mirage11–130.0111%12 Jun
dust27–13-0.0318%12 Jun
mirage10–13-0.014%12 Jun
mirage13–3-0.0311%9 Jun
overpass13–30.0214%1 May
mirage14–16-0.0514%1 May
overpass13–10.1325%29 Apr
dust213–11-0.036%29 Apr
cache13–00.0517%29 Apr
cache7–13-0.086%29 Apr
inferno16–130.0310%21 Apr
mirage5–13-0.075%21 Apr
dust27–13-0.0311%21 Apr
inferno11–13-0.0217%18 Apr
mirage13–16-0.0219%18 Apr
dust215–15-0.0111%18 Apr
overpass11–13-0.019%17 Apr
mirage1–13-0.0817%17 Apr
mirage6–130.0011%17 Apr
mirage13–70.0113%16 Apr
ancient13–11-0.039%16 Apr
anubis13–9-0.0321%15 Apr
mirage11–130.0411%15 Apr

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →