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Freaky Nikki — CS2 Stats

76561199182470797[U:1:1222205069]

1,154Tracked matches39%Win rate2023Tracked since
CSDB Rating3.2 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGFreaky NikkiFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim48
Positioning26
Utility28

0–100 skill scores via Leetify.

Recent form

COLD40–51–9Last 10040%Win rateLWLLLLWWTL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Aim4.8
Aggression0.0
Utility2.8
Positioning2.6
Opening Duels0.0
Clutch0.0

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 63% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower opening-fight frequency.

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. 577ms 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

Aim4.8
Positioning2.6
Utility2.8
Mechanics4.8
Opening Duels0.0
Win Impact1.4

Composite 3.2/10 (Learning), 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-0.04−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.04
Reaction time572ms−77ms
first ⅓ avg 649ms → last ⅓ avg 572ms
Headshot accuracy14.2%+2.1%
first ⅓ avg 12.1% → last ⅓ avg 14.2%

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

0.17Best rating — inferno 9–3
13–1Biggest win — vertigo
4Longest win streak
3–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

shelterBest map · 80% over 5infernoWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
nukeC187–1139%-0.01
infernoD154–1127%-0.02
vertigoD134–931%-0.03
cacheD113–827%-0.02
mirageA95–456%-0.02
ancientA74–357%-0.01
shelterS54–180%0.01
train—43–175%-0.02
anubis—41–325%-0.04
dust2—41–325%-0.02
office—32–167%-0.03
fachwerk—21–150%-0.04
warden—20–20%-0.02
overpass—20–20%-0.08
boulder—11–0100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

46Matches
50%Win rate
0.45Avg K/D
30.6ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1060%0.478.1
Ancient922%0.395.9
Vertigo850%0.607.8
Nuke650%0.395.7
Anubis560%0.426.2
Mirage475%0.446.5
Overpass450%0.377.8

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.

13.5%Headshot accuracy
31.8%Accuracy (enemy spotted)
37.4%Spray accuracy
71.4%Counter-strafing
11.6°Preaim
577msReaction time
11.9%T opening success
20.6%CT opening success
0.29Enemies flashed / flash
3.6%Flash assists
7.16HE damage / grenade
5.33Flashes / 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 13.5091% — 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 0.2927 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 11.8915% — 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 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache2–13-0.0330%28 Aug →
nuke13–80.0115%22 Aug →
vertigo3–5-0.100%22 Aug →
nuke6–13-0.0427%22 Aug →
inferno2–13-0.107%22 Aug →
inferno7–13-0.1017%22 Aug →
ancient13–70.0415%22 Aug →
vertigo13–2-0.0917%22 Aug →
mirage12–12-0.0712%22 Aug →
vertigo9–13-0.1017%20 Aug →
inferno5–13-0.0313%20 Aug →
cache2–7-0.0625%19 Aug →
cache8–13-0.0012%17 Aug →
vertigo13–60.1017%17 Aug →
cache8–13-0.070%15 Aug →
nuke13–11-0.044%15 Aug →
mirage13–9-0.0421%11 Aug →
office13–8-0.0218%10 Aug →
ancient2–10-0.095%10 Aug →
train13–8-0.047%9 Aug →
vertigo12–12-0.0312%9 Aug →
cache7–13-0.0716%9 Aug →
anubis13–8-0.072%9 Aug →
ancient13–20.0824%9 Aug →
nuke7–13-0.0416%9 Aug →
mirage13–60.0811%7 Aug →
nuke9–13-0.0611%7 Aug →
vertigo5–13-0.049%4 Aug →
nuke4–13-0.0519%2 Aug →
inferno7–13-0.098%2 Aug →
cache13–100.0118%2 Aug →
ancient13–7-0.0217%2 Aug →
inferno12–12-0.0424%2 Aug →
ancient2–8-0.0320%2 Aug →
nuke13–60.0716%2 Aug →
vertigo13–8-0.0020%2 Aug →
vertigo12–12-0.0614%30 Jul →
shelter13–4-0.0121%30 Jul →
office13–90.0014%30 Jul →
shelter13–80.009%30 Jul →
inferno13–3-0.057%29 Jul →
nuke11–130.0314%29 Jul →
vertigo3–13-0.1512%29 Jul →
nuke13–11-0.0917%28 Jul →
mirage5–13-0.0614%26 Jul →
nuke11–13-0.069%26 Jul →
mirage13–8-0.0740%26 Jul →
anubis7–13-0.0218%26 Jul →
inferno11–13-0.0116%26 Jul →
dust27–13-0.0312%25 Jul →
dust213–5-0.028%25 Jul →
train13–3-0.0111%19 Jul →
mirage12–16-0.049%19 Jul →
cache13–70.0410%19 Jul →
nuke10–13-0.015%19 Jul →
nuke13–80.0724%18 Jul →
anubis2–13-0.037%18 Jul →
dust25–13-0.0417%18 Jul →
cache5–130.0011%18 Jul →
inferno6–13-0.0415%16 Jul →
shelter4–13-0.079%16 Jul →
nuke12–12-0.0524%12 Jul →
inferno7–13-0.1015%12 Jul →
fachwerk8–13-0.1119%12 Jul →
shelter13–50.075%12 Jul →
vertigo3–13-0.0717%12 Jul →
inferno9–30.179%12 Jul →
nuke6–13-0.077%12 Jul →
train13–60.0512%12 Jul →
shelter13–50.0419%12 Jul →
anubis7–13-0.0610%12 Jul →
mirage10–13-0.0210%12 Jul →
inferno6–00.0714%12 Jul →
nuke13–60.0915%11 Jul →
inferno10–130.0016%11 Jul →
dust25–130.018%11 Jul →
fachwerk13–40.039%10 Jul →
boulder13–8-0.0517%10 Jul →
vertigo13–10.0814%3 Jul →
cache12–12-0.059%3 Jul →
cache13–8-0.036%3 Jul →
warden6–13-0.0612%30 Jun →
ancient13–11-0.0213%30 Jun →
overpass1–13-0.080%30 Jun →
mirage13–60.0515%30 Jun →
office6–13-0.0713%28 Jun →
vertigo12–120.0513%28 Jun →
nuke11–130.0813%28 Jun →
overpass12–16-0.0915%24 Jun →
inferno13–40.0514%21 Jun →
train8–13-0.079%20 Jun →
nuke13–4-0.0019%15 Jun →
cache12–120.0129%14 Jun →
inferno11–130.0117%14 Jun →
nuke12–120.0117%14 Jun →
inferno2–5-0.080%13 Jun →
mirage13–9-0.0312%13 Jun →
ancient9–130.006%13 Jun →
vertigo6–13-0.0212%13 Jun →
warden8–130.026%11 Jun →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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