SavagePanda — CS2 Stats

76561199115600677[U:1:1155334949]✓ No bans

1,315Tracked matches40%Win rate2022Tracked since
910Hours in CS
CSDB Rating3.3 Learning
Premier CS Rating3,475Grey band · top ~85.3% of ranked players (population est.)
CSDB Leaderboard#10013 of 13075 tracked
Ladder ranks via Leetify

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CSDB.GGSavagePandaPREMIER3,475 · Grey bandcsdb.gg/stats

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Performance scores

Aim36
Positioning41
Utility40

0–100 skill scores via Leetify.

Recent form

COLD43534Last 10043%Win rateLLLWLLWLLL

Last 10 vs previous 10: -20pp win rate · -0.04 avg rating

Player DNA

Aim3.6
Aggression4.6
Utility4.0
Positioning4.1
Opening Duels1.4

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-fight frequency, opening-duel success.

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 43% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 737ms 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

Aim3.6
Positioning4.1
Utility4.0
Mechanics5.7
Opening Duels1.7
Win Impact1.7

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time747ms+2ms
first ⅓ avg 745ms → last ⅓ avg 747ms
Headshot accuracy17.6%−0.9%
first ⅓ avg 18.5% → last ⅓ avg 17.6%

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.

Highlights

0.09Best rating — ancient 13–1
130Biggest win — inferno
3Longest win streak
L3Current streak
106In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 52% over 31ancientWeakest map · 8% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB31161552%-0.03
dust2C27121544%-0.02
ancientD131128%-0.01
infernoB84450%-0.03
cacheB84450%-0.04
nukeC73443%-0.01
anubisB63350%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (8% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,745Lifetime kills
0.74K/D
1,894Matches
39.7%Match win rate
43.4%Headshot %
4.5%Shot accuracy
3,073MVPs
910Hours (in match)
1,014Bombs planted
324Bombs defused

Most-used weapons

Lifetime map wins

3,714dust2
2,817inferno
1,140vertigo
1,131nuke
84train
15ar_baggage
13ar_shoots
8lake

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

Skill profile

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

17.3%Headshot accuracy
32.1%Accuracy (enemy spotted)
33.2%Spray accuracy
75.8%Counter-strafing
12.6°Preaim
737msReaction time
27.8%T opening success
43.2%CT opening success
0.70Enemies flashed / flash
1.8%Flash assists
9.12HE damage / grenade
6.91Flashes / 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 12.555° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 737.3966ms — above the 700ms mark we flag

    Aim Training
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.

8% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient11–13-0.0115%28 Aug
mirage6–130.0216%27 Aug
dust23–13-0.0916%27 Aug
mirage16–14-0.0620%26 Aug
dust29–13-0.0511%26 Aug
ancient14–16-0.0425%26 Aug
mirage13–10-0.0919%25 Aug
ancient5–130.0428%25 Aug
mirage0–13-0.0825%25 Aug
inferno13–16-0.0816%24 Aug
dust213–30.0920%24 Aug
inferno16–120.0018%24 Aug
dust29–130.0216%23 Aug
dust22–13-0.0633%23 Aug
mirage5–130.0520%17 Aug
nuke13–60.0523%17 Aug
inferno9–13-0.0112%17 Aug
dust216–14-0.0914%22 Jul
ancient5–13-0.0613%22 Jul
mirage2–13-0.0623%22 Jul
mirage16–13-0.0316%21 Jul
ancient13–10.0918%18 Jul
dust213–11-0.037%18 Jul
anubis7–13-0.0215%18 Jul
anubis16–14-0.0315%18 Jul
ancient5–13-0.0310%17 Jul
mirage6–13-0.0822%17 Jul
mirage16–14-0.0116%17 Jul
mirage13–2-0.0019%17 Jul
dust27–13-0.0711%17 Jul
cache13–30.036%16 Jul
mirage13–30.0516%16 Jul
dust28–13-0.0223%16 Jul
mirage13–11-0.1020%16 Jul
dust211–13-0.0117%16 Jul
mirage13–60.0113%15 Jul
mirage15–15-0.0526%15 Jul
cache3–13-0.0324%15 Jul
inferno13–10-0.0110%14 Jul
dust213–40.0713%14 Jul
mirage3–13-0.0629%14 Jul
dust210–130.0211%14 Jul
mirage9–13-0.022%14 Jul
anubis8–13-0.0411%13 Jul
nuke3–13-0.029%13 Jul
dust26–13-0.0525%13 Jul
mirage13–80.0014%13 Jul
ancient4–13-0.0519%13 Jul
cache13–9-0.0216%13 Jul
cache13–9-0.036%11 Jul
cache8–13-0.0514%10 Jul
anubis13–70.0113%10 Jul
dust213–90.0110%10 Jul
mirage1–10-0.0519%10 Jul
dust215–15-0.0715%10 Jul
inferno13–00.0318%10 Jul
dust29–13-0.0718%9 Jul
mirage13–10-0.0312%9 Jul
dust213–5-0.0313%9 Jul
cache15–15-0.0511%9 Jul
mirage9–13-0.0626%9 Jul
cache5–13-0.1320%8 Jul
dust23–13-0.118%6 Jul
ancient9–13-0.095%6 Jul
inferno13–9-0.0711%6 Jul
ancient10–130.0522%3 Jul
inferno9–13-0.0619%3 Jul
anubis10–13-0.0216%3 Jul
nuke11–13-0.0315%3 Jul
anubis13–11-0.0710%2 Jul
cache13–6-0.0420%2 Jul
mirage13–11-0.0231%1 Jul
mirage11–13-0.0915%1 Jul
mirage5–13-0.0715%30 Jun
nuke13–5-0.0120%30 Jun
dust213–80.0718%30 Jun
dust213–7-0.0913%29 Jun
mirage8–130.0518%29 Jun
mirage13–70.0416%28 Jun
dust23–13-0.0320%28 Jun
dust215–15-0.0522%28 Jun
nuke11–130.0636%28 Jun
mirage1–13-0.0327%28 Jun
nuke7–13-0.0828%26 Jun
dust213–110.0024%25 Jun
dust213–60.0724%24 Jun
ancient10–13-0.0120%24 Jun
ancient9–13-0.0519%17 Jun
nuke13–4-0.076%17 Jun
dust213–40.0422%17 Jun
ancient12–16-0.0128%14 Jun
mirage13–8-0.0815%13 Jun
ancient7–130.0011%13 Jun
mirage13–11-0.0511%13 Jun
inferno3–13-0.016%13 Jun
dust210–13-0.0421%12 Jun
mirage13–8-0.0516%11 Feb
mirage5–130.0123%10 Feb
dust213–70.0319%8 Feb
mirage13–100.015%29 Jan

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 →