Animaltactics

Animaltactics — CS2 Stats

76561198093618279[U:1:133352551]Steam profile ↗✓ No bans

600Tracked matches64%Win rate2022Tracked since
CSDB Rating5.4 DevelopingHybrid Rifler
Premier CS Rating17,920Purple band · top ~16.8% of ranked players (population est.)
CSDB Leaderboard#13402 of 25504 tracked
Ladder ranks via Leetify

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CSDB.GGAnimaltacticsPREMIER17,920 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning54
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY54379Last 10054%Win rateWLWWTLWLLW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.6
Aggression5.5
Utility3.0
Positioning5.4
Opening Duels2.5

Limited utility dependence

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 84% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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.

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

Aim6.6
Positioning5.4
Utility3.0
Mechanics4.2
Opening Duels2.5
Win Impact9.8

Composite 5.4/10 (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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time498ms−28ms
first ⅓ avg 526ms → last ⅓ avg 498ms
Headshot accuracy12.4%+0.0%
first ⅓ avg 12.3% → last ⅓ avg 12.4%

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

0.16Best rating — nuke 13–2
131Biggest win — nuke
7Longest win streak
54In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 83% over 6infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA43251858%0.03
dust2B40192148%0.00
infernoD62433%-0.01
cacheS65183%0.01
ancient32167%0.01
mirage21150%0.04

Across the last 100 tracked matches.

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.1%Headshot accuracy
34.5%Accuracy (enemy spotted)
36.2%Spray accuracy
69.0%Counter-strafing
8.6°Preaim
495msReaction time
35.5%T opening success
44.4%CT opening success
0.54Enemies flashed / flash
3.2%Flash assists
7.32HE damage / grenade
3.12Flashes / 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 12.1415% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

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

    Flashes per match 3.1183 — below the 4 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 35.483% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–30.0219%23 Aug
inferno6–9-0.0414%21 Aug
nuke13–100.0113%16 Aug
dust213–9-0.0416%16 Aug
dust212–12-0.0619%16 Aug
dust211–13-0.0322%11 Aug
cache8–10.0211%11 Aug
dust28–130.0117%9 Aug
cache5–13-0.0210%6 Aug
ancient16–120.0711%2 Aug
nuke13–90.027%31 Jul
nuke8–130.069%26 Jul
nuke8–130.0215%26 Jul
cache16–14-0.019%25 Jul
ancient13–100.017%25 Jul
mirage13–90.0812%25 Jul
dust213–9-0.027%23 Jul
inferno13–3-0.0811%23 Jul
nuke13–90.0010%23 Jul
nuke6–13-0.0210%22 Jul
dust213–3-0.0113%22 Jul
dust213–110.084%22 Jul
ancient8–13-0.069%19 Jul
nuke13–70.0320%19 Jul
cache13–70.045%19 Jul
cache13–90.029%19 Jul
nuke13–50.0115%19 Jul
dust26–13-0.0613%18 Jul
inferno11–130.0115%18 Jul
mirage15–15-0.0011%18 Jul
inferno5–13-0.0121%13 Jul
inferno10–13-0.0115%12 Jul
dust213–11-0.0111%12 Jul
dust213–9-0.0117%12 Jul
inferno13–50.0916%11 Jul
dust210–130.0515%11 Jul
dust28–13-0.0313%10 Jul
nuke16–130.0111%9 Jul
cache13–60.0123%9 Jul
nuke13–40.024%9 Jul
dust212–12-0.0210%7 Jul
nuke13–10.1010%7 Jul
dust211–130.0011%6 Jul
nuke7–13-0.0220%5 Jul
dust213–90.0715%5 Jul
nuke12–120.0215%4 Jul
dust210–13-0.0717%4 Jul
dust213–90.0815%2 Jul
nuke13–10-0.0315%28 Jun
dust213–4-0.034%27 Jun
dust27–13-0.0616%27 Jun
dust25–130.0911%26 Jun
nuke10–13-0.047%25 Jun
dust212–12-0.0211%25 Jun
nuke9–130.0416%24 Jun
nuke9–13-0.0111%22 Jun
dust29–130.056%22 Jun
nuke13–30.0610%15 Jun
nuke6–130.093%14 Jun
dust213–30.0111%14 Jun
nuke13–10-0.0513%14 Jun
nuke11–130.0221%14 Jun
dust213–8-0.0116%13 Jun
nuke9–130.0219%12 Jun
dust210–13-0.0114%12 Jun
nuke13–2-0.059%11 Jun
dust25–13-0.0520%11 Jun
dust22–13-0.0326%10 Jun
nuke13–20.1612%10 Jun
dust213–60.0816%9 Jun
nuke12–12-0.056%9 Jun
nuke13–80.1013%8 Jun
dust213–110.0011%8 Jun
nuke6–130.026%7 Jun
nuke2–130.0427%7 Jun
nuke13–30.0513%7 Jun
nuke7–13-0.049%6 Jun
dust210–13-0.0212%6 Jun
nuke13–70.0315%6 Jun
nuke2–13-0.036%6 Jun
dust25–130.0115%6 Jun
nuke13–8-0.0314%5 Jun
dust27–13-0.038%5 Jun
dust213–40.0512%4 Jun
nuke13–40.018%4 Jun
nuke13–10.164%4 Jun
dust24–13-0.110%4 Jun
nuke12–12-0.005%3 Jun
dust212–12-0.049%3 Jun
dust213–110.0314%2 Jun
nuke13–100.1511%2 Jun
dust213–70.066%2 Jun
nuke12–120.098%1 Jun
nuke13–90.047%1 Jun
dust213–30.0322%1 Jun
nuke13–100.0421%30 May
dust213–70.022%30 May
dust211–10.0840%30 May
nuke13–40.0814%29 May
nuke13–80.0915%29 May

Match data via Leetify.

Recent teammates

Milestones

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