BOT Spencer — CS2 Stats

76561198448331619[U:1:488065891]

684Tracked matches60%Win rate2020Tracked since
2,230Hours in CS11Hrs last 2 wks
CSDB Rating5.5 SolidHybrid Rifler
Premier CS Rating14,890Blue band · top ~29% of ranked players (population est.)
CSDB Leaderboard#29862 of 48792 tracked
WingmanSilver IV
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 rate42.9%41.4%44.2%1.3% short
Shot accuracy16.1%9.0%11.6%above
Kill/death ratio0.940.971.030.09 short
Match win rate42.3%43.7%45.2%3.0% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGBOT SpencerPREMIER14,890 · Blue bandcsdb.gg/stats

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Performance scores

Aim74
Positioning46
Utility43

0–100 skill scores via Leetify.

Recent form

HOT51463Last 10051%Win rateLWWLWWWLWW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim7.4
Aggression5.2
Utility4.3
Positioning4.6
Opening Duels1.7
Clutch2.6

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 86% playstyle similarity

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

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.

Reaction time. 575ms 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

Aim7.4
Positioning4.6
Utility4.3
Mechanics7.0
Opening Duels1.7
Win Impact8.3

Composite 5.5/10 (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 rating-0.00−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time587ms−86ms
first ⅓ avg 672ms → last ⅓ avg 587ms
Headshot accuracy18.3%−2.9%
first ⅓ avg 21.2% → last ⅓ avg 18.3%

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

0.17Best rating — train 1–3
131Biggest win — cache
4Longest win streak
45In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 67% over 6infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA33201361%0.01
dust2A2112957%0.01
ancientC135838%-0.01
infernoD81713%0.00
anubisA85363%0.04
cacheS64267%0.03
nukeC52340%0.01
trainC52340%0.07
office1010%-0.01

Across the last 100 tracked matches.

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

Lifetime stats

57,134Lifetime kills
0.94K/D
2,904Matches
42.3%Match win rate
42.9%Headshot % · Top 50% of Blue band
16.1%Shot accuracy · Top 25% of Blue band
5,278MVPs
1,374Hours (in match)
2,778Bombs planted
504Bombs defused

Most-used weapons

AK-4711,111
AWP4,740
SG 5534,143
AUG2,231
MP91,825

Lifetime map wins

3,326dust2
1,463inferno
1,404nuke
1,259train
571vertigo
134office
20lake
13italy

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

Faceit stats

Combat

7Matches
86%Win rate
1.15Avg K/D
66.0ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4100%1.2614.0
Dust21100%1.2211.0

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.

18.1%Headshot accuracy
34.4%Accuracy (enemy spotted)
38.4%Spray accuracy
81.4%Counter-strafing
9.4°Preaim
575msReaction time
30.9%T opening success
42.5%CT opening success
0.66Enemies flashed / flash
1.9%Flash assists
4.97HE damage / grenade
4.83Flashes / 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

    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 30.9122% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage12–16-0.0516%29 Aug
mirage13–50.0313%23 Aug
mirage13–9-0.0329%23 Aug
mirage1–8-0.0529%23 Aug
mirage13–100.0318%18 Aug
mirage13–40.0219%18 Aug
dust213–30.0115%18 Aug
ancient8–13-0.0215%18 Aug
dust213–100.0116%17 Aug
mirage13–50.0322%17 Aug
mirage13–20.0518%17 Aug
mirage9–13-0.057%16 Aug
dust213–50.1029%16 Aug
mirage13–3-0.0212%16 Aug
cache13–60.0515%16 Aug
ancient13–11-0.0116%16 Aug
ancient10–13-0.0314%10 Aug
inferno16–120.0110%10 Aug
mirage6–130.0220%10 Aug
mirage13–50.0316%10 Aug
cache13–10.0922%3 Aug
mirage13–100.0325%1 Aug
cache13–70.0221%1 Aug
anubis4–13-0.0717%31 Jul
inferno9–130.0323%31 Jul
dust29–130.1016%31 Jul
dust26–13-0.0621%30 Jul
ancient2–13-0.1521%30 Jul
dust213–100.0017%30 Jul
mirage7–13-0.0321%30 Jul
inferno5–13-0.0726%30 Jul
ancient8–13-0.0323%23 Jul
mirage13–7-0.063%23 Jul
dust28–13-0.0222%23 Jul
mirage13–11-0.0426%20 Jul
mirage16–130.0124%20 Jul
mirage9–13-0.0618%19 Jul
nuke16–12-0.0323%19 Jul
anubis13–110.0424%19 Jul
ancient16–13-0.0525%18 Jul
dust213–70.0620%18 Jul
mirage5–13-0.0525%18 Jul
mirage13–80.0428%18 Jul
nuke6–130.0120%18 Jul
inferno9–13-0.0536%17 Jul
nuke13–100.0539%17 Jul
anubis13–10.1127%17 Jul
ancient7–13-0.0419%15 Jul
mirage13–8-0.0313%15 Jul
inferno10–130.0026%22 Jun
train10–13-0.0229%22 Jun
train13–6-0.0426%22 Jun
dust213–90.0334%22 Jun
dust212–5-0.0541%16 Jun
ancient16–130.0030%16 Jun
mirage5–130.0237%16 Jun
mirage12–12-0.0125%6 Jun
dust25–13-0.0027%6 Jun
mirage13–110.1420%1 Jun
nuke6–130.0437%1 Jun
anubis13–7-0.0118%1 Jun
anubis12–120.1019%1 Jun
anubis4–130.0331%26 May
mirage13–10.1119%21 May
mirage11–130.0233%21 May
office5–13-0.0130%18 May
inferno8–130.0116%12 May
dust25–13-0.0536%12 May
ancient13–30.0938%12 May
cache12–120.0423%12 May
cache1–13-0.0918%12 May
cache13–40.0815%12 May
mirage6–130.0119%27 Apr
dust25–130.0218%27 Apr
ancient5–13-0.0114%26 Apr
dust26–13-0.0315%26 Apr
dust213–40.0135%26 Apr
ancient13–20.1418%24 Apr
train1–30.1713%24 Apr
mirage13–10-0.0014%24 Apr
train13–50.1124%24 Apr
train4–130.1028%24 Apr
dust214–16-0.0120%24 Apr
mirage13–4-0.0319%24 Apr
anubis13–70.1534%7 Apr
ancient6–13-0.0120%7 Apr
mirage13–10.0612%7 Apr
dust213–60.0324%7 Apr
anubis13–30.0123%7 Apr
dust25–13-0.0411%7 Apr
inferno11–130.0513%26 Mar
mirage7–13-0.0116%26 Mar
dust213–10.0113%26 Mar
ancient9–13-0.0515%25 Mar
dust213–60.0129%25 Mar
mirage11–130.0815%25 Mar
inferno10–130.0344%23 Mar
mirage13–9-0.0431%23 Mar
dust216–130.0013%23 Mar
nuke8–13-0.0321%23 Mar

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 →