bartholomew

bartholomew — CS2 Stats

76561199013501874[U:1:1053236146]Steam profile ↗✓ No bans

74Tracked matches31%Win rate2026Tracked since
CSDB Rating3.1 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim34
Positioning39
Utility19

0–100 skill scores via Leetify.

Recent form

COLD33–36–4Last 7345%Win rateLLWLWLLLWL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −1.8pp headshot accuracy · +19ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 7%
  • Avg reaction 710ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 685ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 675ms

Newest first, from the last 73 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 (+2.5 against its own average).

Aim3.4
Utility1.9
Positioning3.9
Opening Duels0.0
Clutch0.0

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.

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 81% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 678ms 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

Aim3.4
Positioning3.9
Utility1.9
Mechanics6.8
Opening Duels0.0
Win Impact0.0

Composite 3.1/10 (Learning), 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 rating-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time687ms+36ms
first ⅓ avg 651ms → last ⅓ avg 687ms
Headshot accuracy10.9%−4.7%
first ⅓ avg 15.6% → last ⅓ avg 10.9%

Rolling 5-match average across the last 73 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.08Best match rating · 13–9 · cache, 8 May →
50%Best headshot accuracy · 6–1 · mirage, 21 Apr →
344msFastest reaction time · 6–1 · mirage, 21 Apr →
11–0Biggest win · cache, 1 May →

Across the last 73 tracked matches.

Highlights

4Longest win streak
L2Current streak
5–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 67% over 6cacheWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2111–1052%-0.04
cacheD144–1029%-0.03
nukeC114–736%-0.04
dust2C73–443%-0.04
ancientB63–350%-0.06
infernoS64–267%-0.03
anubisA53–260%-0.03
overpass—31–233%-0.03

Across the last 73 tracked matches.

Faceit stats

Combat

1Matches
0%Win rate
0.89Avg K/D
88.9ADR
41%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

10.4%Headshot accuracy
29.1%Accuracy (enemy spotted)
27.5%Spray accuracy
80.5%Counter-strafing
10.1°Preaim
678msReaction time
28.0%T opening success
30.3%CT opening success
0.46Enemies flashed / flash
6.4%Flash assists
7.13HE damage / grenade
2.20Flashes / 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 10.4022% — 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 0.4569 — below the 0.5 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 27.9992% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0410%16 Sept →
nuke6–13-0.0415%24 May →
mirage13–11-0.052%24 May →
mirage0–6-0.120%20 May →
ancient13–8-0.058%19 May →
anubis2–13-0.0312%19 May →
overpass9–13-0.0319%18 May →
ancient4–13-0.0113%16 May →
ancient13–9-0.0714%16 May →
dust29–13-0.075%13 May →
mirage0–8-0.1040%12 May →
anubis13–90.006%12 May →
ancient4–13-0.080%12 May →
overpass8–13-0.0110%12 May →
nuke6–13-0.0516%11 May →
nuke13–9-0.0226%11 May →
mirage14–16-0.075%11 May →
nuke13–11-0.057%11 May →
mirage13–16-0.067%11 May →
ancient13–4-0.090%10 May →
dust210–13-0.0511%10 May →
mirage12–60.0212%10 May →
nuke5–13-0.0614%10 May →
mirage8–13-0.0910%10 May →
nuke13–5-0.0310%10 May →
mirage12–12-0.056%10 May →
mirage0–5-0.0525%10 May →
cache0–13-0.127%9 May →
anubis9–13-0.0415%9 May →
cache8–13-0.0112%9 May →
cache0–13-0.079%9 May →
inferno13–90.013%8 May →
cache13–90.085%8 May →
cache5–13-0.025%6 May →
cache6–13-0.0717%6 May →
cache11–130.032%6 May →
cache13–110.0512%5 May →
nuke12–12-0.006%5 May →
mirage12–50.0418%5 May →
dust213–4-0.0311%5 May →
mirage9–13-0.0610%4 May →
cache4–13-0.119%1 May →
cache13–50.0215%1 May →
cache11–0-0.0211%1 May →
inferno13–110.015%1 May →
cache6–13-0.0714%30 Apr →
mirage13–40.013%30 Apr →
cache12–12-0.0210%30 Apr →
mirage11–13-0.0711%29 Apr →
nuke13–6-0.077%27 Apr →
dust23–10-0.0210%27 Apr →
mirage13–7-0.014%27 Apr →
inferno12–12-0.026%26 Apr →
dust213–10-0.0112%26 Apr →
anubis13–60.0314%26 Apr →
mirage13–5-0.0119%26 Apr →
mirage7–130.0116%24 Apr →
nuke9–13-0.0511%23 Apr →
mirage13–70.0325%23 Apr →
inferno13–8-0.048%23 Apr →
dust22–13-0.0116%23 Apr →
ancient3–13-0.0712%23 Apr →
mirage8–0-0.029%23 Apr →
mirage13–20.065%23 Apr →
dust213–11-0.0525%22 Apr →
inferno11–13-0.0910%22 Apr →
nuke6–13-0.0316%21 Apr →
overpass13–9-0.0614%21 Apr →
nuke10–13-0.0536%21 Apr →
mirage6–1-0.0650%21 Apr →
inferno13–6-0.0425%21 Apr →
mirage13–5-0.0917%21 Apr →
anubis9–4-0.099%21 Apr →

Match data via Leetify.

Recent teammates

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

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