chpeederman

chpeederman — CS2 Stats

76561199237198990[U:1:1276933262]Steam profile ↗✓ No bans

1,328Tracked matches54%Win rate2024Tracked since
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating5,576Light Blue band · top ~76% of ranked players (population est.)
Ladder ranks via Leetify

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CSDB.GGchpeedermanPREMIER5,576 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim54
Positioning57
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateLWWLWLWWLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · −1.2pp headshot accuracy · −59ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 527ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 513ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 542ms

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 (+1.8 against its own average).

Aim5.4
Utility3.3
Positioning5.7
Opening Duels2.8

Strong T-side openerLimited 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.

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

m0NESY

Plays most like m0NESY 83% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 62% on T to 31% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 67% 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

Aim5.4
Positioning5.7
Utility3.3
Mechanics3.8
Opening Duels4.1
Win Impact6.2

Composite 4.4/10 (Developing), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time544ms−57ms
first ⅓ avg 601ms → last ⅓ avg 544ms
Headshot accuracy14.2%−0.2%
first ⅓ avg 14.3% → last ⅓ avg 14.2%

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

0.20Best match rating · 13–3 · vertigo, 25 May →
57%Best headshot accuracy · 4–0 · nuke, 31 Aug →
406msFastest reaction time · 13–8 · mirage, 9 Oct →
13–0Biggest win · mirage, 13 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–5In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 59% over 17infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C239–1439%0.00
mirageA1710–759%0.01
vertigoB136–746%0.01
nukeA127–558%0.03
infernoD92–722%-0.01
cacheA95–456%0.05
anubisD72–529%0.05
train—32–167%-0.00
overpass—32–167%-0.00
office—21–150%-0.01
poseidon—20–20%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). 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.

13.5%Headshot accuracy
34.3%Accuracy (enemy spotted)
36.8%Spray accuracy
67.1%Counter-strafing
10.7°Preaim
544msReaction time
62.2%T opening success
30.8%CT opening success
0.48Enemies flashed / flash
4.1%Flash assists
3.53HE damage / grenade
4.19Flashes / 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 13.5075% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4797 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.7671% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.0217%12 Oct →
dust213–110.108%12 Oct →
train13–30.0026%12 Oct →
nuke10–130.0114%12 Oct →
mirage13–30.0714%11 Oct →
vertigo4–13-0.048%11 Oct →
dust213–50.114%10 Oct →
mirage13–80.0110%9 Oct →
nuke8–13-0.0315%9 Oct →
nuke13–5-0.0012%6 Oct →
overpass6–13-0.0215%5 Oct →
mirage13–80.0311%5 Oct →
vertigo13–9-0.0220%5 Oct →
dust23–13-0.1111%4 Oct →
dust22–13-0.0217%1 Oct →
inferno5–130.0117%1 Oct →
mirage13–1-0.027%1 Oct →
train13–4-0.0117%30 Sept →
nuke13–110.0114%30 Sept →
nuke10–130.0112%28 Sept →
vertigo7–13-0.038%28 Sept →
vertigo6–10.0256%28 Sept →
inferno5–13-0.0315%24 Sept →
dust213–70.0116%24 Sept →
mirage9–13-0.0111%21 Sept →
dust25–130.0215%20 Sept →
anubis12–120.1015%20 Sept →
anubis12–12-0.033%20 Sept →
dust213–8-0.0417%20 Sept →
dust213–100.0612%18 Sept →
dust211–130.0820%14 Sept →
dust29–13-0.0312%13 Sept →
mirage13–00.070%13 Sept →
mirage13–8-0.0323%7 Sept →
dust25–130.0416%7 Sept →
nuke13–100.129%7 Sept →
office13–80.0319%7 Sept →
overpass13–10-0.0014%6 Sept →
poseidon2–9-0.2133%5 Sept →
dust213–40.0213%31 Aug →
cache12–120.077%31 Aug →
nuke4–00.1357%31 Aug →
inferno8–130.0121%31 Aug →
vertigo13–11-0.0120%30 Aug →
cache13–20.0612%29 Aug →
mirage13–6-0.0215%27 Aug →
dust212–12-0.0310%26 Aug →
cache13–60.1010%26 Aug →
cache13–11-0.0110%26 Aug →
mirage11–13-0.0212%24 Aug →
dust26–13-0.047%30 Jun →
mirage11–13-0.0314%30 Jun →
cache4–130.0715%29 Jun →
mirage2–13-0.0311%22 Jun →
vertigo3–13-0.0524%22 Jun →
dust25–13-0.026%22 Jun →
inferno4–13-0.113%21 Jun →
dust24–13-0.052%21 Jun →
vertigo7–13-0.0714%21 Jun →
dust25–130.0413%6 Jun →
dust29–1-0.0210%5 Jun →
vertigo9–130.0310%4 Jun →
mirage13–70.0010%3 Jun →
vertigo13–40.034%3 Jun →
office4–13-0.057%3 Jun →
mirage13–80.0712%1 Jun →
anubis13–100.1511%1 Jun →
anubis13–10-0.058%1 Jun →
dust213–90.0210%30 May →
inferno11–13-0.0014%29 May →
nuke8–13-0.057%29 May →
anubis8–130.087%28 May →
cache13–100.058%28 May →
dust25–13-0.0012%28 May →
poseidon8–80.0615%25 May →
vertigo13–30.208%25 May →
mirage9–130.0121%25 May →
inferno13–30.0330%25 May →
vertigo8–130.018%11 May →
mirage4–13-0.0518%11 May →
cache12–120.0115%11 May →
cache7–13-0.0318%11 May →
mirage7–130.0126%9 May →
anubis2–130.0624%9 May →
cache13–20.0916%4 May →
vertigo13–70.0719%4 May →
train11–13-0.0016%26 Apr →
inferno5–9-0.1033%26 Apr →
mirage13–60.1114%26 Apr →
overpass13–80.0211%24 Apr →
dust21–13-0.090%24 Apr →
vertigo8–13-0.0412%24 Apr →
inferno13–40.1316%24 Apr →
inferno10–13-0.035%23 Apr →
nuke13–110.053%23 Apr →
anubis12–120.028%23 Apr →
dust212–120.0120%23 Apr →
dust213–10-0.0519%22 Apr →
nuke13–50.0314%22 Apr →
nuke13–90.1216%19 Apr →

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 →

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