IKA

IKA — CS2 Stats

76561198324560643[U:1:364294915]Steam profile ↗✓ No bans

484Tracked matches46%Win rate2020Tracked since
CSDB Rating5.1 DevelopingClutch Specialist
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGIKAFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim66
Positioning57
Utility22

0–100 skill scores via Leetify.

Recent form

COLD39–52–9Last 10039%Win rateLLWTLLTLWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +1.6pp headshot accuracy · +52ms reaction

Win rate down 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 633ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 588ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 562ms

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 (+5.3 against its own average).

Aim6.6
Utility2.2
Positioning5.7
Opening Duels1.0
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

iM

Plays most like iM 84% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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.

CT openings. Opening success drops from 58% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 572ms 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

Aim6.6
Positioning5.7
Utility2.2
Mechanics5.3
Opening Duels4.3
Win Impact3.8

Composite 5.1/10 (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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time569ms−36ms
first ⅓ avg 605ms → last ⅓ avg 569ms
Headshot accuracy16.1%−1.4%
first ⅓ avg 17.5% → last ⅓ avg 16.1%

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

0.10Best match rating · 13–2 · nuke, 3 Sept →
48%Best headshot accuracy · 13–1 · overpass, 9 Oct →
313msFastest reaction time · 3–12 · cache, 7 May →
13–1Biggest win · overpass, 9 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–7In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 57% over 7ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheC4016–2440%-0.03
mirageC2710–1737%-0.02
dust2C146–843%-0.04
nukeA74–357%0.02
ancientD51–420%-0.07
anubis—41–325%-0.03
overpass—11–0100%0.06
inferno—10–10%-0.10
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

54Matches
61%Win rate
0.94Avg K/D
88.9ADR
30%Headshot %

Clutches & streaks

100%1v1 clutch win
100%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust22100%1.3218.0
Ancient1100%1.9019.0
Mirage1100%0.7814.0

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.

15.8%Headshot accuracy
34.3%Accuracy (enemy spotted)
38.1%Spray accuracy
74.0%Counter-strafing
9.2°Preaim
572msReaction time
57.7%T opening success
37.1%CT opening success
0.54Enemies flashed / flash
3.6%Flash assists
5.84HE damage / grenade
2.18Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.1797 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 37.0626% — 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.

20% 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
mirage11–13-0.0232%29 Oct →
cache9–130.0114%23 Oct →
cache13–10-0.0116%22 Oct →
mirage12–12-0.1113%19 Oct →
dust25–13-0.0811%19 Oct →
cache3–13-0.0521%19 Oct →
mirage12–12-0.0113%18 Oct →
mirage11–13-0.016%17 Oct →
cache13–6-0.0121%16 Oct →
mirage5–13-0.0435%16 Oct →
nuke8–13-0.0113%15 Oct →
anubis10–13-0.0611%13 Oct →
dust210–13-0.088%11 Oct →
cache13–7-0.0026%11 Oct →
mirage13–7-0.0113%11 Oct →
overpass13–10.0648%9 Oct →
mirage13–11-0.0110%7 Oct →
mirage13–10-0.0911%5 Oct →
cache3–13-0.0613%3 Oct →
mirage7–13-0.0113%3 Oct →
mirage13–6-0.0218%26 Sept →
mirage10–13-0.0213%26 Sept →
dust213–10.037%26 Sept →
anubis13–60.0221%25 Sept →
dust28–13-0.017%25 Sept →
cache6–13-0.0431%25 Sept →
cache5–6-0.045%24 Sept →
ancient13–6-0.086%23 Sept →
dust213–7-0.0824%22 Sept →
mirage13–7-0.037%22 Sept →
cache11–13-0.0614%21 Sept →
mirage8–13-0.0417%21 Sept →
anubis12–12-0.0417%19 Sept →
dust213–5-0.0211%18 Sept →
cache12–12-0.0717%17 Sept →
ancient11–13-0.057%15 Sept →
cache6–13-0.0517%13 Sept →
nuke2–12-0.0317%13 Sept →
dust212–12-0.1113%12 Sept →
cache1–13-0.0620%11 Sept →
inferno5–13-0.1012%10 Sept →
anubis6–13-0.0423%10 Sept →
cache1–13-0.1023%10 Sept →
ancient8–13-0.0614%9 Sept →
mirage6–13-0.0514%9 Sept →
ancient4–13-0.0719%4 Sept →
nuke13–20.1024%3 Sept →
cache13–8-0.0215%3 Sept →
mirage13–50.0616%2 Sept →
cache12–12-0.0313%2 Sept →
cache13–3-0.0813%1 Sept →
dust22–13-0.0133%1 Sept →
mirage9–13-0.0114%1 Sept →
mirage13–7-0.034%31 Aug →
cache2–11-0.0218%28 Aug →
dust213–7-0.0415%28 Aug →
nuke13–10.0511%28 Aug →
cache13–10-0.0020%27 Aug →
mirage13–50.0016%26 Aug →
mirage13–10-0.0531%22 Aug →
cache13–7-0.0414%22 Aug →
mirage8–13-0.0611%16 Aug →
mirage12–12-0.018%8 Aug →
mirage8–13-0.0412%5 Aug →
ancient10–13-0.075%1 Aug →
mirage6–13-0.0418%1 Aug →
mirage5–130.0222%1 Aug →
dust23–4-0.019%27 Jul →
mirage5–13-0.0721%27 Jul →
cache3–13-0.039%7 Jul →
cache13–3-0.0516%4 Jul →
cache5–13-0.0610%1 Jul →
cache7–13-0.0329%1 Jul →
mirage8–130.0219%24 Jun →
cache9–130.0017%24 Jun →
dust213–7-0.048%22 Jun →
mirage13–30.0322%22 Jun →
cache13–90.0412%22 Jun →
cache1–8-0.0613%21 Jun →
cache13–90.019%19 Jun →
nuke8–130.0611%7 Jun →
cache13–100.0630%7 Jun →
vertigo9–13-0.0414%4 Jun →
dust213–110.0130%20 May →
cache2–130.0219%20 May →
cache13–11-0.0726%17 May →
dust23–13-0.0826%14 May →
cache13–110.0413%14 May →
dust211–13-0.0324%13 May →
nuke13–7-0.0514%13 May →
cache13–2-0.0410%13 May →
cache13–11-0.0826%10 May →
cache9–13-0.069%8 May →
cache9–13-0.0519%7 May →
cache3–12-0.0820%7 May →
cache13–8-0.0521%6 May →
cache12–12-0.0316%6 May →
cache12–12-0.0511%3 May →
cache9–13-0.0829%3 May →
nuke13–50.0216%30 Apr →

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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