DANimal

DANimal — CS2 Stats

US76561198143451813[U:1:183186085]Steam profile ↗✓ No bans

720Tracked matches79%Win rate2020Tracked since
4,042Hours in CS25Hrs last 2 wks
CSDB Rating8.0 StrongPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,061), 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 rate46.7%50.9%
Shot accuracy18.1%13.7%
Kill/death ratio1.171.09
Match win rate57.8%48.4%

Share this profile

CSDB.GGDANimalFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim90
Positioning71
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY73–20–7Last 10073%Win rateWWWWWLWWTW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −4.8pp headshot accuracy · −28ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 19%
  • Avg reaction 434ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 20%
  • Avg reaction 458ms

Last 20

  • 17–2–1 · 85% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 23%
  • Avg reaction 472ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim9.0
Utility6.7
Positioning7.1
Opening Duels5.0
Clutch3.0

Sharp aimerEffective flashes

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 93% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

T openings. 63% T opening-duel success — entries that actually open the round.

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

Aim9.0
Positioning7.1
Utility6.7
Mechanics7.9
Opening Duels7.1
Win Impact10.0

Composite 8.0/10 (Strong), 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 rating0.06+0.00
first ⅓ avg 0.05 → last ⅓ avg 0.06
Reaction time484ms−4ms
first ⅓ avg 488ms → last ⅓ avg 484ms
Headshot accuracy22.6%−3.9%
first ⅓ avg 26.5% → last ⅓ avg 22.6%

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.

Personal bests

0.23Best match rating · 9–1 · nuke, 28 Sept →
50%Best headshot accuracy · 13–0 · train, 12 Oct →
344msFastest reaction time · 13–4 · cache, 1 Oct →
13–0Biggest win · train, 12 Oct →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W5Current streak
6–3In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 92% over 12dust2Weakest map · 50% over 28
MapGradePlayedRecordWin rateAvg rating
dust2B2814–1450%0.04
nukeS1210–283%0.11
ancientS1210–283%0.03
cacheS1211–192%0.07
mirageA95–456%0.01
trainS86–275%0.04
infernoS76–186%0.06
anubisS65–183%0.02
overpass—33–0100%0.07
office—33–0100%0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

119,185Lifetime kills
1.17K/D · Top 50% of Level 10 players
2,820Matches
57.8%Match win rate · Top 10% of Level 10 players
46.7%Headshot %
18.1%Shot accuracy · Top 25% of Level 10 players
8,566MVPs
2,389Hours (in match)
6,207Bombs planted
1,797Bombs defused

Most-used weapons

AK-4734,775
AWP30,729
P2505,420
Knife1,850
SG 5531,827
SSG 081,564

Lifetime map wins

10,594dust2
10,185inferno
3,643train
2,938nuke
1,337cbble
624vertigo
105office
81shorttrain

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

Faceit stats

Combat

294Matches
66%Win rate
1.24Avg K/D
76.6ADR
48%Headshot %

Clutches & streaks

35%1v1 clutch win
16%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust23259%1.1314.9
Mirage2348%1.3016.7
Inferno2060%1.0115.7
Cache1771%1.2216.6
Nuke1258%1.3114.9
Anubis944%1.1117.1
Ancient580%0.9413.4
Overpass2100%1.4316.5

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.

22.5%Headshot accuracy
37.0%Accuracy (enemy spotted)
38.4%Spray accuracy
85.6%Counter-strafing
8.1°Preaim
485msReaction time
63.2%T opening success
53.6%CT opening success
0.71Enemies flashed / flash
13.3%Flash assists
8.52HE damage / grenade
6.81Flashes / match

Recent matches

MapScoreRatingHS%Date
nuke13–10.1427%19 Oct →
overpass13–50.0312%19 Oct →
ancient13–100.0418%19 Oct →
dust213–40.2126%18 Oct →
anubis13–11-0.0414%18 Oct →
dust27–13-0.0821%17 Oct →
train13–40.0622%17 Oct →
ancient13–100.0925%17 Oct →
dust212–120.0714%17 Oct →
nuke13–90.0924%17 Oct →
nuke13–70.0724%17 Oct →
cache13–40.2031%17 Oct →
dust213–20.0720%17 Oct →
ancient13–11-0.0119%16 Oct →
cache13–110.1528%16 Oct →
dust213–90.0327%16 Oct →
dust213–40.1222%13 Oct →
dust211–130.0215%13 Oct →
train13–00.0350%12 Oct →
ancient13–10-0.0016%12 Oct →
mirage13–3-0.0223%12 Oct →
train12–120.0421%11 Oct →
mirage9–130.0622%11 Oct →
inferno13–50.0832%11 Oct →
nuke9–130.0528%11 Oct →
dust27–130.0220%10 Oct →
anubis3–130.0321%10 Oct →
mirage13–70.0425%10 Oct →
nuke13–40.0821%10 Oct →
inferno13–70.0223%10 Oct →
inferno13–60.1124%10 Oct →
dust27–30.0521%10 Oct →
cache13–50.029%9 Oct →
dust29–13-0.0521%8 Oct →
dust213–70.0722%8 Oct →
mirage11–13-0.0513%7 Oct →
nuke12–120.0228%7 Oct →
nuke13–80.1327%5 Oct →
dust22–13-0.0614%5 Oct →
nuke13–60.2022%5 Oct →
mirage10–13-0.0417%4 Oct →
inferno7–130.1126%4 Oct →
inferno13–60.1022%4 Oct →
ancient3–13-0.0125%4 Oct →
mirage12–12-0.0217%2 Oct →
dust27–130.0121%2 Oct →
cache13–40.0523%2 Oct →
dust29–13-0.0116%2 Oct →
anubis13–50.0026%1 Oct →
cache13–4-0.0135%1 Oct →
dust213–70.0228%30 Sept →
anubis13–11-0.0239%30 Sept →
mirage13–80.0231%30 Sept →
nuke9–10.2341%28 Sept →
ancient7–130.0131%28 Sept →
nuke13–90.1316%27 Sept →
ancient13–40.0121%27 Sept →
anubis13–70.0924%27 Sept →
cache13–90.0218%27 Sept →
dust213–30.1423%27 Sept →
dust213–10-0.0022%27 Sept →
cache11–130.0614%25 Sept →
dust213–50.1221%25 Sept →
ancient13–90.0517%25 Sept →
train13–20.0111%23 Sept →
ancient13–20.1534%23 Sept →
dust23–13-0.0224%23 Sept →
dust212–12-0.0221%23 Sept →
dust212–120.0028%18 Sept →
dust213–20.0938%18 Sept →
overpass13–3-0.0231%18 Sept →
overpass13–00.2023%18 Sept →
anubis13–00.0319%18 Sept →
ancient13–90.0129%18 Sept →
dust28–130.0128%18 Sept →
mirage13–80.0528%17 Sept →
ancient13–8-0.0215%17 Sept →
dust213–50.0629%16 Sept →
cache13–50.0733%16 Sept →
train13–70.0723%16 Sept →
train10–10.0829%15 Sept →
office13–80.0919%14 Sept →
mirage13–110.0124%14 Sept →
cache13–40.0322%12 Sept →
office13–80.0925%12 Sept →
dust25–130.0527%12 Sept →
nuke13–60.0520%12 Sept →
cache13–60.0627%12 Sept →
cache13–10.1119%9 Sept →
train8–13-0.0225%9 Sept →
cache13–50.0917%9 Sept →
inferno11–5-0.0313%8 Sept →
dust212–120.0944%8 Sept →
office13–70.0927%8 Sept →
dust213–60.0332%8 Sept →
ancient13–80.1127%8 Sept →
inferno13–110.0440%5 Sept →
nuke13–70.1130%5 Sept →
train13–60.0835%5 Sept →
dust213–20.0730%5 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches10-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.