Frostline — CS2 Stats

76561199540125980[U:1:1579860252]

356Tracked matches43%Win rate2024Tracked since
423Hours in CS
CSDB Rating3.6 Learning
Premier CS Rating10,879Blue band · top ~50.2% of ranked players (population est.)
CSDB Leaderboard#20503 of 28624 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate42.0%41.7%44.1%2.1% short
Shot accuracy0.0%8.8%11.4%11.4% short
Kill/death ratio0.840.971.030.19 short
Match win rate39.3%43.8%45.2%5.9% short

This profile sits below the typical Purple band player on every metric we can compare.

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

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CSDB.GGFrostlinePREMIER10,879 · Blue bandcsdb.gg/stats

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Performance scores

Aim36
Positioning55
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY55432Last 10055%Win rateWLTLWWLLWL

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

Player DNA

Aim3.6
Aggression5.7
Utility2.9
Positioning5.5
Opening Duels2.3
Clutch1.4

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 78% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 47% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.6
Positioning5.5
Utility2.9
Mechanics4.2
Opening Duels2.3
Win Impact2.8

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg -0.00
Reaction time600ms−41ms
first ⅓ avg 641ms → last ⅓ avg 600ms
Headshot accuracy17.2%+1.3%
first ⅓ avg 15.9% → last ⅓ avg 17.2%

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

0.25Best rating — inferno 9–0
131Biggest win — nuke
6Longest win streak
95In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 100% over 5ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoS2013765%0.02
mirageA149564%0.01
officeC125742%0.01
dust2C114736%0.01
nukeA117464%0.01
cacheC83538%0.01
ancientD62433%0.00
anubisS550100%0.04
trainS54180%0.01
vertigo21150%-0.09
boulder110100%-0.01
fachwerk1010%-0.11
shelter1010%-0.04
poseidon110100%0.07
debris1010%-0.04
overpass1010%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,035Lifetime kills
0.84K/D
1,470Matches
39.3%Match win rate
42.0%Headshot % · Top 50% of Blue band
0.0%Shot accuracy
4,500MVPs
423Hours (in match)
1,190Bombs planted
322Bombs defused

Most-used weapons

Lifetime map wins

2,425inferno
1,384nuke
1,022dust2
727vertigo
604train
484office
26lake
15italy

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

Faceit stats

Combat

17Matches
41%Win rate
0.78Avg K/D
59.5ADR
36%Headshot %

Clutches & streaks

27%1v1 clutch win
15%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust2540%1.0118.0
Mirage475%0.558.3
Nuke333%0.458.7
Inferno20%0.7013.0
Anubis20%0.618.5
Ancient1100%2.0012.0

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.

16.9%Headshot accuracy
31.3%Accuracy (enemy spotted)
32.4%Spray accuracy
68.8%Counter-strafing
13.7°Preaim
614msReaction time
31.8%T opening success
46.9%CT opening success
0.43Enemies flashed / flash
3.1%Flash assists
8.84HE damage / grenade
3.87Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.698° — above the 12° 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 0.4302 — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–20.0714%26 Aug
dust23–13-0.0017%25 Aug
inferno8–8-0.0916%25 Aug
cache11–13-0.0116%23 Aug
anubis13–70.0515%22 Aug
nuke13–50.0623%22 Aug
cache10–13-0.0616%22 Aug
ancient3–13-0.018%22 Aug
inferno13–90.0822%22 Aug
dust211–13-0.0318%21 Aug
anubis13–60.0033%20 Aug
mirage10–13-0.0312%20 Aug
cache8–13-0.0424%20 Aug
dust210–130.0720%20 Aug
train13–11-0.0317%13 Aug
office13–6-0.0010%13 Aug
nuke5–13-0.0423%5 Aug
boulder13–11-0.0117%3 Aug
fachwerk0–7-0.1120%3 Aug
shelter7–13-0.0416%1 Aug
inferno9–40.2314%30 Jul
inferno1–9-0.2024%30 Jul
ancient3–13-0.0523%30 Jul
ancient2–60.0611%30 Jul
dust213–16-0.0620%30 Jul
inferno9–60.088%29 Jul
inferno4–9-0.0431%29 Jul
inferno13–11-0.0612%28 Jul
mirage13–110.0220%28 Jul
nuke9–130.0111%28 Jul
mirage13–50.119%28 Jul
dust213–70.0119%27 Jul
inferno13–2-0.0011%27 Jul
nuke9–130.0016%27 Jul
mirage5–13-0.049%25 Jul
anubis13–20.0227%25 Jul
mirage13–110.0418%25 Jul
nuke4–13-0.0323%25 Jul
inferno9–50.0028%25 Jul
inferno9–7-0.0220%25 Jul
inferno9–40.0922%25 Jul
dust29–13-0.0113%24 Jul
nuke13–10.0320%24 Jul
office3–10-0.0233%19 Jul
poseidon9–40.0717%18 Jul
debris7–9-0.0425%18 Jul
inferno5–13-0.0215%14 Jul
mirage13–70.0020%14 Jul
mirage13–60.0315%14 Jul
vertigo3–9-0.077%14 Jul
cache10–130.008%2 Jul
nuke13–70.0317%27 Jun
office10–13-0.1225%24 Jun
cache13–60.0510%23 Jun
inferno13–50.0223%23 Jun
train4–13-0.018%23 Jun
mirage5–13-0.0328%23 Jun
office13–70.0440%23 Jun
ancient11–13-0.0120%23 Jun
mirage13–9-0.019%23 Jun
train13–40.0819%23 Jun
inferno13–50.0422%23 Jun
vertigo13–7-0.1014%23 Jun
nuke13–3-0.009%23 Jun
overpass1–130.0713%23 Jun
ancient13–11-0.0218%22 Jun
nuke13–10-0.0521%22 Jun
mirage15–15-0.0421%22 Jun
dust28–13-0.0319%22 Jun
ancient13–70.029%21 Jun
train13–5-0.0213%20 Jun
dust28–13-0.0526%16 Jun
nuke13–80.0425%16 Jun
cache13–90.0317%16 Jun
train13–70.0424%16 Jun
office7–130.1021%16 Jun
mirage16–140.0213%16 Jun
office13–40.0920%14 Jun
office5–130.0212%14 Jun
office13–40.1017%13 Jun
office9–130.0615%13 Jun
office13–5-0.0410%12 Jun
office11–13-0.0320%12 Jun
office5–13-0.0820%11 Jun
mirage13–110.0414%3 Jun
mirage6–130.0310%3 Jun
dust213–70.1118%30 May
dust213–100.0029%30 May
inferno5–9-0.0318%30 May
inferno9–20.1311%30 May
dust213–90.0526%29 May
cache8–130.017%29 May
inferno4–9-0.1312%29 May
inferno4–9-0.058%28 May
anubis13–100.0213%28 May
nuke13–60.0210%28 May
inferno13–90.0421%28 May
inferno9–00.255%28 May
anubis13–10.1010%28 May
mirage13–80.0712%27 May

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 →