Iftic

Iftic — CS2 Stats

CX76561198035572529[U:1:75306801]Steam profile ↗✓ No bans

293Tracked matches40%Win rate2020Tracked since
CSDB Rating4.1 DevelopingSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 293
−4.0ppWin rate · 44.0% → 40.0%

Rating over time

Premier CS Rating: 15,544 +5,040 16 Mar – 3 Jul · 14 days played
10,28016,362peak 16,36216 Mar3 Jul
16,362Peak Premier in tracked matches
61Days played since 2023-09-26

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

Share this profile

CSDB.GGIfticFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim53
Positioning44
Utility44

0–100 skill scores via Leetify.

Recent form

COLD43–49–8Last 10043%Win rateLLLTLLTWWL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +2.4pp headshot accuracy · −71ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 512ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 557ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 593ms

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 (+1 against its own average).

Aim5.3
Utility4.4
Positioning4.4
Opening Duels1.4

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

Twistzz

Plays most like Twistzz 85% 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

Areas to improve

Reaction time. 606ms 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

Aim5.3
Positioning4.4
Utility4.4
Mechanics5.2
Opening Duels0.4
Win Impact1.7

Composite 4.1/10 (Developing), 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-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time596ms−52ms
first ⅓ avg 649ms → last ⅓ avg 596ms
Headshot accuracy14.6%−1.0%
first ⅓ avg 15.6% → last ⅓ avg 14.6%

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

0.16Best match rating · 13–5 · dust2, 4 Feb →
45%Best headshot accuracy · 5–9 · inferno, 6 Nov →
359msFastest reaction time · 5–9 · inferno, 6 Nov →
13–1Biggest win · ancient, 31 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
8–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 56% over 18ancientWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B2211–1150%0.03
nukeB199–1047%0.02
mirageA1810–856%-0.01
ancientD143–1121%-0.01
infernoC135–838%0.03
overpass—42–250%0.01
anubis—41–325%0.03
vertigo—20–20%-0.11
train—21–150%-0.01
cache—11–0100%-0.03
office—10–10%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Ancient 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.

13.7%Headshot accuracy
32.1%Accuracy (enemy spotted)
36.6%Spray accuracy
73.5%Counter-strafing
10.0°Preaim
606msReaction time
31.7%T opening success
31.9%CT opening success
0.51Enemies flashed / flash
7.3%Flash assists
9.34HE damage / grenade
5.65Flashes / 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 13.6954% — 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 31.6582% — 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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke1–110.0218%6 Nov →
inferno5–9-0.0545%6 Nov →
mirage2–5-0.090%29 Aug →
inferno15–150.0315%28 Aug →
nuke9–130.1422%28 Aug →
ancient3–130.0321%28 Aug →
ancient15–15-0.037%3 Aug →
cache13–11-0.0320%2 Aug →
dust213–30.0210%2 Aug →
mirage10–13-0.0412%3 Jul →
ancient8–130.0511%3 Jul →
dust213–10-0.0114%29 Jun →
mirage11–13-0.0115%28 Jun →
ancient5–13-0.069%28 Jun →
nuke13–20.0314%28 Jun →
vertigo1–9-0.2225%27 Jun →
nuke13–90.0620%27 Jun →
dust213–9-0.0016%27 Jun →
nuke11–130.0311%26 Jun →
ancient7–13-0.079%24 Jun →
inferno11–13-0.0222%24 Jun →
ancient10–13-0.0419%24 Jun →
nuke7–130.039%23 Jun →
overpass13–30.0614%23 Jun →
nuke0–13-0.070%21 Jun →
nuke13–11-0.0320%17 Jun →
ancient15–15-0.0612%17 Jun →
mirage11–13-0.0614%15 Jun →
ancient12–120.0210%14 Jun →
mirage13–2-0.016%14 Jun →
dust212–12-0.0216%14 Jun →
train13–70.0313%12 Jun →
nuke13–90.0016%12 Jun →
dust213–40.0828%12 Jun →
overpass14–16-0.0615%10 Jun →
inferno13–6-0.0810%10 Jun →
dust26–3-0.0943%10 Jun →
nuke13–80.0214%6 Jun →
dust213–80.0614%6 Jun →
mirage13–50.0913%6 Jun →
inferno10–13-0.0310%4 Jun →
anubis9–13-0.0719%21 May →
dust211–130.0316%3 Mar →
ancient6–13-0.0032%14 Jan →
nuke11–130.0220%31 Dec →
mirage13–20.0120%28 Dec →
overpass13–50.0211%28 Dec →
inferno11–13-0.0116%26 Dec →
mirage10–13-0.0513%25 Dec →
mirage13–110.0711%25 Dec →
mirage15–15-0.0624%13 Oct →
dust26–130.0219%29 Jun →
ancient7–13-0.038%10 Jun →
mirage5–13-0.0614%9 Jun →
train2–13-0.0419%5 Jun →
anubis9–130.0219%2 Jun →
ancient13–1-0.0019%31 May →
nuke13–70.0518%29 May →
mirage13–90.0710%16 May →
dust26–13-0.0412%16 May →
ancient15–15-0.0019%4 May →
nuke5–130.0318%4 May →
inferno13–50.0814%26 Apr →
anubis13–70.1327%11 Apr →
inferno13–160.0213%11 Apr →
nuke13–110.0521%11 Apr →
dust25–130.0115%5 Apr →
inferno9–30.1016%5 Apr →
dust27–130.0725%29 Mar →
dust211–10.1636%24 Mar →
mirage13–11-0.0015%23 Mar →
inferno13–80.1016%23 Mar →
inferno9–130.0722%19 Mar →
mirage2–13-0.098%16 Mar →
nuke4–13-0.116%8 Mar →
dust28–13-0.029%8 Mar →
dust211–130.0714%3 Mar →
mirage13–100.0626%3 Mar →
anubis7–130.0415%27 Feb →
inferno9–130.1121%26 Feb →
nuke11–130.0320%26 Feb →
ancient13–9-0.018%20 Feb →
inferno13–60.0220%17 Feb →
nuke13–110.0415%12 Feb →
dust213–20.1115%11 Feb →
dust213–40.0321%10 Feb →
dust28–13-0.0418%10 Feb →
nuke13–110.039%10 Feb →
dust26–13-0.0318%9 Feb →
dust213–110.0918%8 Feb →
ancient13–90.0611%4 Feb →
dust213–50.1617%4 Feb →
mirage13–3-0.019%2 Feb →
nuke12–12-0.0217%2 Feb →
dust29–13-0.059%19 Dec →
vertigo6–130.0013%28 Sept →
mirage13–100.069%28 Sept →
mirage13–4-0.0215%28 Sept →
office8–160.0518%26 Sept →
overpass9–160.037%26 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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