itami

itami — CS2 Stats

76561199225211002[U:1:1264945274]Steam profile ↗✓ No bans

615Tracked matches45%Win rate2022Tracked since
1,116Hours in CS14Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating19,235Top 50% of 213,211 CSDB-tracked playersPurple band · top ~11.5% of ranked players (population est.)
CSDB Leaderboard#96452 of 259955 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 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: 19,235 -765 4 Sept – 24 Oct · 15 days played
19,00020,844peak 20,8444 Sept24 Oct
20,987Peak Premier in tracked matches
26Days played since 2026-09-04

Premier CS Rating

  • 1,609 below peak (20,844)
  • -655 over 30 days · declining
  • Next: Pink band at 20,000 — 765 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-04
  • Purple band first seen 2026-09-04

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate47.8%45.7%46.8%above
Shot accuracy5.7%12.7%13.0%7.3% short
Kill/death ratio1.011.051.060.05 short
Match win rate48.3%45.7%46.3%above

This profile matches the typical Level 8 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGitamiFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER19,235 · Purple 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

Aim82
Positioning61
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLWLLWLLWWW

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating · +1.1pp headshot accuracy · −14ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 501ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 497ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 504ms

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 (+1.7 against its own average).

Aim8.2
Utility5.0
Positioning6.1
Opening Duels2.6
Clutch4.0

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 97% playstyle similarity

Most alike: aim profile, opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.2
Positioning6.1
Utility5.0
Mechanics7.5
Opening Duels4.0
Win Impact3.3

Composite 6.3/10 (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 -0.02 → last ⅓ avg -0.01
Reaction time501ms−33ms
first ⅓ avg 534ms → last ⅓ avg 501ms
Headshot accuracy15.3%+0.0%
first ⅓ avg 15.3% → last ⅓ avg 15.3%

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

0.17Best match rating · 13–6 · train, 11 Oct →
36%Best headshot accuracy · 13–4 · cache, 18 Sept →
344msFastest reaction time · 7–9 · nuke, 22 Oct →
13–1Biggest win · mirage, 24 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

vertigoBest map · 57% over 7ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB2111–1052%0.00
nukeB168–850%-0.02
dust2B147–750%-0.00
mirageD134–931%0.00
cacheB115–645%-0.01
vertigoA74–357%-0.06
ancientD50–50%0.00
overpass—43–175%0.02
anubis—42–250%-0.01
train—21–150%0.06
italy—22–0100%0.05
office—10–10%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,267Lifetime kills
1.01K/D
1,515Matches
48.3%Match win rate · Top 50% of Level 7 players
47.8%Headshot % · Top 50% of Level 7 players
5.7%Shot accuracy
3,530MVPs
552Hours (in match)
1,342Bombs planted
300Bombs defused

Most-used weapons

Lifetime map wins

3,360inferno
2,049dust2
1,816nuke
428vertigo
301train
125office
43cbble
33italy

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

Faceit stats

Combat

200Matches
52%Win rate
1.12Avg K/D
82.7ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
27%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage3754%1.1115.4
Dust23642%1.1115.9
Anubis2259%1.1015.9
Ancient2157%0.9915.1
Inferno2070%1.3616.1
Nuke1937%1.0013.6
Cache1765%1.2315.9
Vertigo333%0.9314.0

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.

15.4%Headshot accuracy
37.9%Accuracy (enemy spotted)
37.3%Spray accuracy
83.6%Counter-strafing
8.0°Preaim
534msReaction time
48.3%T opening success
43.3%CT opening success
0.44Enemies flashed / flash
6.7%Flash assists
8.53HE damage / grenade
8.14Flashes / 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 0.4402 — below the 0.5 mark we flag

    Grenade Lineups →
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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass4–9-0.0726%29 Oct →
vertigo9–4-0.0610%29 Oct →
dust24–130.0317%25 Oct →
nuke9–13-0.027%24 Oct →
mirage13–10.1615%24 Oct →
ancient5–13-0.0321%24 Oct →
cache7–13-0.0416%23 Oct →
inferno13–20.1115%23 Oct →
cache13–9-0.0216%23 Oct →
nuke13–90.0520%23 Oct →
mirage15–15-0.0710%23 Oct →
inferno13–40.0315%23 Oct →
dust29–130.0212%23 Oct →
ancient2–110.0023%22 Oct →
vertigo5–9-0.118%22 Oct →
nuke7–9-0.138%22 Oct →
nuke3–9-0.2220%22 Oct →
inferno9–40.0826%21 Oct →
nuke7–90.0127%21 Oct →
inferno2–9-0.023%20 Oct →
inferno4–9-0.1012%20 Oct →
nuke9–4-0.0413%20 Oct →
nuke8–8-0.0510%20 Oct →
dust29–13-0.0415%20 Oct →
nuke9–60.0122%19 Oct →
dust29–13-0.0212%18 Oct →
inferno9–3-0.005%18 Oct →
dust213–50.0216%13 Oct →
vertigo0–9-0.2913%13 Oct →
inferno11–130.1417%12 Oct →
cache7–130.0212%12 Oct →
ancient10–130.1215%12 Oct →
anubis5–130.0827%12 Oct →
inferno13–100.0717%12 Oct →
overpass9–60.1618%12 Oct →
train13–60.1716%11 Oct →
vertigo13–10.0720%11 Oct →
italy13–40.0214%11 Oct →
italy13–20.085%11 Oct →
mirage7–13-0.0425%10 Oct →
mirage6–13-0.0517%6 Oct →
inferno6–9-0.0625%6 Oct →
cache10–130.0011%2 Oct →
train4–13-0.0512%2 Oct →
dust213–70.0617%2 Oct →
nuke13–5-0.0111%2 Oct →
mirage9–130.0121%2 Oct →
office8–130.0213%2 Oct →
inferno1–13-0.075%2 Oct →
cache13–80.028%2 Oct →
inferno13–40.0816%2 Oct →
mirage6–130.0815%2 Oct →
cache8–130.0120%2 Oct →
anubis13–30.0013%1 Oct →
cache6–13-0.0316%1 Oct →
nuke11–130.0316%30 Sept →
mirage7–13-0.0221%30 Sept →
inferno3–9-0.0316%30 Sept →
dust213–110.0316%29 Sept →
mirage11–13-0.0617%29 Sept →
mirage13–60.0512%29 Sept →
dust213–70.1016%29 Sept →
cache13–80.0715%28 Sept →
inferno13–11-0.0510%28 Sept →
inferno13–100.009%28 Sept →
inferno5–9-0.097%28 Sept →
vertigo9–5-0.0914%28 Sept →
vertigo7–9-0.017%28 Sept →
nuke9–60.1014%28 Sept →
cache5–13-0.0412%27 Sept →
inferno3–9-0.0310%27 Sept →
overpass9–40.0923%27 Sept →
nuke8–8-0.054%27 Sept →
nuke9–7-0.0510%27 Sept →
nuke9–50.1019%27 Sept →
inferno9–30.0922%27 Sept →
inferno9–40.0721%27 Sept →
inferno3–13-0.115%25 Sept →
inferno9–70.0112%23 Sept →
vertigo9–60.086%23 Sept →
overpass9–5-0.0922%23 Sept →
mirage10–130.1121%21 Sept →
dust26–13-0.0412%20 Sept →
anubis8–13-0.0111%20 Sept →
dust28–13-0.0514%20 Sept →
dust213–10-0.0413%19 Sept →
dust213–2-0.0416%19 Sept →
ancient13–16-0.0212%19 Sept →
nuke13–90.1118%19 Sept →
inferno6–13-0.0532%18 Sept →
anubis13–11-0.0923%18 Sept →
mirage10–13-0.076%18 Sept →
dust213–1-0.100%18 Sept →
cache13–7-0.153%18 Sept →
nuke1–9-0.1233%18 Sept →
cache13–4-0.0036%18 Sept →
ancient10–13-0.0410%18 Sept →
mirage13–6-0.0022%18 Sept →
dust29–13-0.0122%18 Sept →
mirage13–4-0.0613%18 Sept →

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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