CiKa

CiKa — CS2 Stats

RO76561197984053584[U:1:23787856]Steam profile ↗✓ No bans

2,196Tracked matches55%Win rate2020Tracked since
3,937Hours in CS35Hrs last 2 wks
CSDB Rating6.1 SolidSupport
Premier CS Rating22,831Top 50% of 44,590 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)
CSDB Leaderboard#12994 of 57882 tracked
FaceitLevel 10 · 1,871 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=7,415), 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 10 median
Headshot rate48.7%51.7%
Shot accuracy13.1%13.8%
Kill/death ratio1.081.09
Match win rate45.6%48.7%

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CSDB.GGCiKaFACEITLevel 10 · 1,871 ELOSTANDINGTop 12.4% of rankedPREMIER22,831 · Pink bandcsdb.gg/stats

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Performance scores

Aim71
Positioning53
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY54442Last 10054%Win rateLWLWTWLWLW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim7.1
Aggression4.8
Utility7.0
Positioning5.3
Opening Duels1.1
Clutch4.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 571ms 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

Aim7.1
Positioning5.3
Utility7.0
Mechanics6.5
Opening Duels1.1
Win Impact6.7

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time583ms−23ms
first ⅓ avg 607ms → last ⅓ avg 583ms
Headshot accuracy19.7%−1.0%
first ⅓ avg 20.7% → last ⅓ avg 19.7%

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.

Highlights

0.47Best rating — debris 9–0
130Biggest win — ancient
6Longest win streak
94In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 71% over 17debrisWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB1910953%-0.01
anubisS1712571%0.01
ancientA1610663%0.00
dust2A148657%0.00
debrisC73443%0.04
cacheC73443%0.00
nuke41325%0.00
mirage42250%-0.03
vertigo32167%-0.02
fachwerk2020%0.03
poseidon1010%-0.13
office1010%0.05
eldorado1010%-0.09
shelter110100%0.06
overpass110100%-0.01
alpine1010%-0.04
train110100%-0.00

Across the last 100 tracked matches.

Lifetime stats

115,858Lifetime kills
1.08K/D
5,681Matches
45.6%Match win rate
48.7%Headshot %
13.1%Shot accuracy
14,695MVPs
2,167Hours (in match)
2,758Bombs planted
1,406Bombs defused

Most-used weapons

AK-4735,381
AWP10,739
P908,940
P2505,212
SSG 083,576
FAMAS2,872
MP92,810

Lifetime map wins

14,820dust2
8,248inferno
2,945nuke
1,987vertigo
1,246train
827cbble
329lake
205office

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

Faceit stats

Combat

734Matches
53%Win rate
1.06Avg K/D
83.0ADR
52%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust213451%1.0716.0
Inferno13252%1.0616.7
Anubis11761%1.1015.7
Ancient10057%1.0315.7
Mirage7347%1.0416.7
Nuke4243%1.0518.5
Vertigo3043%1.0118.2
Overpass1861%0.9915.7

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.

20.3%Headshot accuracy
34.9%Accuracy (enemy spotted)
38.6%Spray accuracy
79.1%Counter-strafing
11.3°Preaim
571msReaction time
35.8%T opening success
33.4%CT opening success
0.66Enemies flashed / flash
6.6%Flash assists
6.56HE damage / grenade
17.79Flashes / 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. 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 35.7918% — below the 40% mark we flag

Spend your practice time on Cache

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno9–130.0220%30 Aug
anubis16–12-0.0513%30 Aug
ancient8–13-0.0116%29 Aug
inferno13–90.0423%29 Aug
anubis15–150.0314%28 Aug
inferno13–50.0321%28 Aug
debris0–9-0.240%28 Aug
vertigo9–4-0.0121%28 Aug
inferno6–13-0.0115%28 Aug
ancient13–4-0.0212%28 Aug
cache10–130.0122%26 Aug
inferno16–14-0.0124%25 Aug
anubis6–13-0.0327%25 Aug
cache9–13-0.0136%24 Aug
ancient13–00.0815%23 Aug
dust211–130.0118%23 Aug
anubis6–13-0.0226%23 Aug
dust213–50.0337%23 Aug
dust213–70.0125%22 Aug
anubis13–70.0326%22 Aug
anubis13–60.0628%22 Aug
anubis13–11-0.0419%21 Aug
anubis13–90.0428%20 Aug
dust24–13-0.049%20 Aug
ancient13–100.0127%19 Aug
inferno13–20.0523%19 Aug
anubis13–7-0.0315%18 Aug
nuke25–23-0.0122%17 Aug
inferno5–13-0.076%16 Aug
dust26–13-0.037%16 Aug
mirage5–13-0.0614%14 Aug
mirage3–13-0.0815%14 Aug
nuke14–16-0.0228%13 Aug
cache13–90.1114%5 Aug
anubis13–00.0617%5 Aug
ancient13–50.0516%4 Aug
ancient14–16-0.0312%3 Aug
inferno13–10-0.049%2 Aug
dust29–130.0118%2 Aug
dust27–130.0213%30 Jul
ancient8–130.0323%30 Jul
inferno9–13-0.0217%30 Jul
inferno13–11-0.0410%29 Jul
ancient16–12-0.0021%29 Jul
dust213–1-0.0045%29 Jul
anubis13–90.0413%27 Jul
cache6–13-0.0215%27 Jul
ancient13–70.0426%27 Jul
inferno7–13-0.0416%26 Jul
inferno13–70.0718%26 Jul
cache13–7-0.0217%26 Jul
dust213–11-0.0420%26 Jul
dust213–30.0227%26 Jul
debris4–90.0325%25 Jul
inferno9–30.0322%25 Jul
poseidon5–9-0.1320%25 Jul
fachwerk9–130.0532%24 Jul
ancient13–80.0527%24 Jul
inferno3–9-0.0326%24 Jul
cache13–16-0.0631%23 Jul
anubis9–130.0323%23 Jul
inferno9–70.0227%23 Jul
dust213–4-0.0023%22 Jul
inferno16–13-0.0422%22 Jul
ancient13–160.0217%21 Jul
anubis13–80.0220%20 Jul
ancient13–8-0.0624%20 Jul
debris5–9-0.0421%20 Jul
debris9–40.2118%20 Jul
debris9–6-0.0123%20 Jul
ancient0–6-0.050%15 Jul
mirage13–10-0.0613%15 Jul
nuke10–13-0.0121%15 Jul
dust213–70.0220%15 Jul
anubis13–60.0019%15 Jul
vertigo9–7-0.0215%13 Jul
debris9–00.4721%13 Jul
ancient13–40.0321%13 Jul
inferno11–13-0.0216%13 Jul
nuke8–130.0521%13 Jul
dust25–13-0.0423%13 Jul
anubis13–30.0528%12 Jul
ancient13–9-0.0420%12 Jul
dust213–30.0913%12 Jul
inferno6–9-0.0920%12 Jul
office6–130.0533%12 Jul
anubis22–20-0.0314%11 Jul
anubis9–130.0217%10 Jul
inferno2–13-0.097%10 Jul
cache13–110.0014%10 Jul
ancient9–13-0.0325%10 Jul
eldorado8–8-0.0915%9 Jul
debris2–9-0.1232%9 Jul
fachwerk10–130.0123%9 Jul
shelter13–50.0642%9 Jul
vertigo8–13-0.0423%8 Jul
overpass13–8-0.0136%8 Jul
alpine10–13-0.0424%8 Jul
train13–5-0.0027%8 Jul
mirage13–70.0720%8 Jul

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →