anna

anna — CS2 Stats

DE76561199152967468[U:1:1192701740]Steam profile ↗

1,632Tracked matches69%Win rate2021Tracked since
CSDB Rating6.0 SolidHybrid Rifler
Premier CS Rating13,426Blue band · top ~36.7% of ranked players (population est.)
CSDB Leaderboard#11487 of 16804 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGannaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,426 · Blue bandcsdb.gg/stats

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Performance scores

Aim80
Positioning45
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY47503Last 10047%Win rateWLLWLWLWWW

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

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.0
Aggression5.5
Utility4.9
Positioning4.5
Opening Duels1.3
Clutch0.0

Strong CT-side opener

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 89% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 47% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 553ms 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

Aim8.0
Positioning4.5
Utility4.9
Mechanics6.8
Opening Duels2.2
Win Impact10.0

Composite 6.0/10 (Solid), 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 rating0.03+0.07
first ⅓ avg -0.04 → last ⅓ avg 0.03
Reaction time552ms−17ms
first ⅓ avg 568ms → last ⅓ avg 552ms
Headshot accuracy23.7%+10.0%
first ⅓ avg 13.8% → last ⅓ avg 23.7%

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

0.32Best rating — inferno 9–2
130Biggest win — nuke
5Longest win streak
45In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 69% over 16cacheWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
ancientC2291341%-0.03
dust2A1911858%-0.02
mirageD1861233%-0.01
infernoS1611569%0.01
cacheD134931%-0.02
nukeA85363%-0.02
anubis41325%0.00

Across the last 100 tracked matches.

Faceit stats

Combat

37Matches
41%Win rate
0.70Avg K/D
65.0ADR
43%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1362%0.7011.2
Inferno729%0.648.4
Vertigo633%0.9013.3
Anubis30%0.528.7
Overpass250%1.0413.0
Ancient250%0.535.5
Dust21100%0.808.0

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.

23.4%Headshot accuracy
33.3%Accuracy (enemy spotted)
33.7%Spray accuracy
80.8%Counter-strafing
7.8°Preaim
553msReaction time
23.2%T opening success
47.2%CT opening success
0.46Enemies flashed / flash
7.3%Flash assists
7.28HE damage / grenade
6.76Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4634 — below the 0.5 mark we flag

    Grenade Lineups
  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 23.1529% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke13–80.1024%28 Aug
mirage7–130.0230%26 Aug
dust213–160.0626%26 Aug
ancient13–70.0832%26 Aug
ancient8–130.1228%26 Aug
mirage13–10.1341%26 Aug
mirage9–13-0.068%26 Aug
dust213–7-0.0221%26 Aug
ancient13–7-0.0522%26 Aug
ancient13–4-0.0115%26 Aug
inferno13–2-0.060%25 Aug
anubis7–130.0029%25 Aug
cache13–60.0741%25 Aug
inferno13–30.0628%25 Aug
dust213–80.0322%25 Aug
inferno9–20.3224%25 Aug
anubis13–10.0930%25 Aug
mirage8–130.0235%25 Aug
nuke13–00.0337%25 Aug
dust213–80.1329%25 Aug
inferno13–10.0541%25 Aug
ancient15–15-0.0120%25 Aug
cache13–6-0.0311%25 Aug
nuke13–8-0.0214%24 Aug
dust213–3-0.0211%24 Aug
inferno5–13-0.0732%24 Aug
inferno7–13-0.1321%24 Aug
mirage8–13-0.077%24 Aug
ancient13–8-0.0211%24 Aug
inferno13–90.1326%24 Aug
cache13–30.2025%24 Aug
ancient4–7-0.1211%23 Aug
anubis2–13-0.0533%23 Aug
dust29–13-0.0620%23 Aug
ancient6–13-0.1010%23 Aug
dust213–8-0.0531%23 Aug
cache8–13-0.0718%23 Aug
mirage13–16-0.0720%23 Aug
ancient9–13-0.0722%23 Aug
inferno13–3-0.0518%23 Aug
ancient14–16-0.0513%22 Aug
cache11–13-0.0510%22 Aug
dust29–13-0.0531%22 Aug
inferno9–50.1112%22 Aug
inferno13–7-0.067%21 Aug
nuke13–11-0.0214%21 Aug
dust210–13-0.0614%21 Aug
ancient16–13-0.0410%20 Aug
cache10–13-0.0212%20 Aug
dust28–13-0.0221%20 Aug
anubis9–13-0.0410%19 Aug
dust213–7-0.0125%19 Aug
cache10–13-0.0515%19 Aug
ancient13–10-0.1018%18 Aug
ancient10–13-0.0121%18 Aug
mirage13–70.0115%18 Aug
inferno5–90.0321%18 Aug
ancient13–10-0.0215%18 Aug
mirage10–13-0.049%18 Aug
dust216–12-0.028%17 Aug
inferno13–9-0.0220%17 Aug
mirage13–6-0.0022%17 Aug
dust213–9-0.0414%17 Aug
mirage11–130.0121%16 Aug
mirage13–100.0428%16 Aug
cache4–13-0.0815%16 Aug
cache1–13-0.0320%16 Aug
ancient5–13-0.0512%15 Aug
cache8–13-0.0023%15 Aug
mirage8–13-0.0318%15 Aug
nuke4–9-0.140%15 Aug
dust27–13-0.0515%15 Aug
dust25–13-0.0611%15 Aug
inferno15–15-0.0719%15 Aug
ancient11–13-0.0415%15 Aug
mirage13–5-0.0211%14 Aug
nuke11–13-0.085%14 Aug
ancient13–110.0220%14 Aug
dust213–8-0.0231%14 Aug
nuke3–130.049%14 Aug
cache16–13-0.0313%14 Aug
inferno13–4-0.015%14 Aug
mirage15–15-0.0217%14 Aug
cache10–13-0.0317%13 Aug
ancient9–13-0.0816%13 Aug
mirage13–10-0.0513%13 Aug
dust213–5-0.0118%13 Aug
inferno4–9-0.1517%12 Aug
ancient13–11-0.044%12 Aug
mirage3–13-0.0617%12 Aug
mirage9–13-0.0716%12 Aug
nuke13–11-0.0517%12 Aug
inferno9–60.119%11 Aug
ancient9–130.0613%11 Aug
mirage2–13-0.0117%11 Aug
ancient6–13-0.0510%11 Aug
cache2–13-0.118%11 Aug
dust213–90.0318%11 Aug
ancient4–13-0.150%11 Aug
dust27–13-0.0620%11 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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