Invicta

Invicta — CS2 Stats

RO76561199654783466[U:1:1694517738]Steam profile ↗✓ No bans

818Tracked matches41%Win rate2024Tracked since
812Hours in CS15Hrs last 2 wks
CSDB Rating2.9 LearningClutch Specialist
Premier CS Rating2,403Grey band · top ~89.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (12 days ago). 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: 2,403 +52 6 Sept – 20 Sept · 9 days played
2,0703,277peak 3,2776 Sept20 Sept
3,408Peak Premier in tracked matches
16Days played since 2026-08-29

Premier CS Rating

  • 874 below peak (3,277)
  • Next: Light Blue band at 5,000 — 2,597 to go

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches88——
Win rate39%——
K/D0.70——
Headshot %38%——

Measured 1 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=13,993), 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 rate41.6%42.7%43.8%2.1% short
Shot accuracy0.0%11.3%12.0%12.0% short
Kill/death ratio0.590.991.020.42 short
Match win rate36.9%43.9%44.7%7.9% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. 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.GGInvictaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER2,403 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim26
Positioning56
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY36–59–5Last 10036%Win rateLWWLWLLLWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.7pp headshot accuracy · +13ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 655ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 642ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 635ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5 against its own average).

Aim2.6
Utility2.3
Positioning5.6
Opening Duels2.2
Clutch10.0

Limited utility dependenceReliable in 1v1s

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

ZywOo

Plays most like ZywOo 64% 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

CT openings. Opening success drops from 56% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 637ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim2.6
Positioning5.6
Utility2.3
Mechanics2.7
Opening Duels4.0
Win Impact2.1

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time659ms−18ms
first ⅓ avg 676ms → last ⅓ avg 659ms
Headshot accuracy10.4%−1.9%
first ⅓ avg 12.3% → last ⅓ avg 10.4%

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 · 4–0 · mirage, 8 Sept →
35%Best headshot accuracy · 13–2 · dust2, 5 Sept →
484msFastest reaction time · 9–13 · inferno, 20 Sept →
13–0Biggest win · italy, 19 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
9–11In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 63% over 8infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2D247–1729%-0.04
nukeC229–1341%-0.05
mirageC208–1240%-0.04
infernoD113–827%-0.05
vertigoA85–363%-0.02
office—40–40%-0.07
italy—33–0100%0.02
anubis—30–30%-0.06
train—20–20%-0.05
cache—20–20%-0.07
overpass—11–0100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,161Lifetime kills
0.59K/D
1,175Matches
36.9%Match win rate
41.6%Headshot %
0.0%Shot accuracy
1,580MVPs
386Hours (in match)
1,266Bombs planted
125Bombs defused

Most-used weapons

Lifetime map wins

1,797vertigo
1,728nuke
1,315dust2
929inferno
108train
96office
39italy
1ar_baggage

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

Faceit stats

Combat

4Matches
25%Win rate
0.37Avg K/D
44.0ADR
48%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo333%0.376.3
Inferno10%0.365.0

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.

11.0%Headshot accuracy
27.3%Accuracy (enemy spotted)
32.2%Spray accuracy
62.0%Counter-strafing
10.2°Preaim
637msReaction time
56.1%T opening success
35.8%CT opening success
0.41Enemies flashed / flash
3.9%Flash assists
6.50HE damage / grenade
2.17Flashes / 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 11.0136% — 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 0.4114 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.8001% — 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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.0616%24 Sept →
vertigo13–6-0.078%24 Sept →
nuke13–7-0.044%24 Sept →
train4–13-0.0613%24 Sept →
italy13–110.0113%24 Sept →
office8–13-0.0617%24 Sept →
mirage5–13-0.109%24 Sept →
nuke4–13-0.0421%24 Sept →
nuke16–14-0.0113%20 Sept →
dust211–13-0.038%20 Sept →
nuke5–130.0214%20 Sept →
inferno9–13-0.0017%20 Sept →
mirage10–3-0.087%20 Sept →
nuke4–13-0.069%19 Sept →
vertigo8–13-0.035%19 Sept →
nuke2–2-0.098%19 Sept →
mirage10–13-0.0512%19 Sept →
dust213–11-0.0115%19 Sept →
office10–13-0.0513%19 Sept →
italy9–0-0.026%19 Sept →
office3–13-0.080%19 Sept →
italy13–00.0811%19 Sept →
office1–13-0.100%19 Sept →
inferno13–90.0013%19 Sept →
dust213–7-0.0324%19 Sept →
vertigo9–13-0.069%17 Sept →
vertigo12–120.004%17 Sept →
dust24–13-0.037%17 Sept →
nuke4–13-0.0617%17 Sept →
nuke13–00.000%17 Sept →
mirage4–13-0.0211%17 Sept →
dust29–13-0.0711%17 Sept →
nuke7–13-0.1210%17 Sept →
dust29–13-0.0623%17 Sept →
mirage13–4-0.0315%17 Sept →
mirage13–9-0.0316%16 Sept →
inferno4–13-0.0114%16 Sept →
inferno7–13-0.1121%16 Sept →
nuke13–30.019%16 Sept →
inferno13–7-0.0515%16 Sept →
dust211–13-0.0616%16 Sept →
nuke11–130.039%16 Sept →
dust213–11-0.0614%15 Sept →
mirage12–12-0.0618%15 Sept →
nuke11–13-0.124%15 Sept →
mirage11–13-0.049%15 Sept →
overpass13–7-0.059%15 Sept →
vertigo13–3-0.0225%15 Sept →
nuke8–13-0.117%14 Sept →
mirage12–12-0.0812%14 Sept →
train8–13-0.0413%14 Sept →
nuke11–13-0.0311%14 Sept →
inferno10–13-0.067%11 Sept →
nuke3–13-0.089%11 Sept →
dust25–13-0.0512%11 Sept →
inferno13–8-0.0116%11 Sept →
dust211–13-0.0522%11 Sept →
anubis7–13-0.059%11 Sept →
dust26–13-0.065%11 Sept →
inferno1–9-0.059%11 Sept →
anubis10–13-0.0813%10 Sept →
dust213–110.0118%10 Sept →
nuke14–16-0.1013%10 Sept →
dust27–13-0.0320%10 Sept →
mirage13–7-0.0714%10 Sept →
dust213–11-0.0721%8 Sept →
inferno2–9-0.1214%8 Sept →
vertigo13–10-0.087%8 Sept →
nuke12–12-0.0411%8 Sept →
mirage0–9-0.0127%8 Sept →
anubis9–13-0.045%8 Sept →
mirage13–11-0.007%8 Sept →
dust22–13-0.089%8 Sept →
dust211–130.0210%8 Sept →
mirage4–00.1310%8 Sept →
dust211–13-0.038%8 Sept →
inferno13–16-0.069%6 Sept →
mirage12–12-0.0416%6 Sept →
dust25–13-0.0415%6 Sept →
nuke13–6-0.0512%6 Sept →
mirage9–13-0.0417%5 Sept →
nuke13–10-0.0610%5 Sept →
dust213–10-0.018%5 Sept →
dust213–20.0535%5 Sept →
mirage13–6-0.036%5 Sept →
mirage10–13-0.0317%5 Sept →
vertigo13–70.0722%3 Sept →
mirage11–13-0.0814%3 Sept →
nuke13–8-0.0710%3 Sept →
vertigo9–7-0.0015%3 Sept →
nuke7–13-0.108%1 Sept →
inferno6–13-0.068%1 Sept →
dust23–13-0.0519%1 Sept →
cache1–13-0.090%30 Aug →
dust25–13-0.0722%30 Aug →
cache2–13-0.0612%29 Aug →
dust23–13-0.118%29 Aug →
nuke13–9-0.058%29 Aug →
mirage13–50.0115%29 Aug →
dust29–13-0.086%29 Aug →

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 →

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