Harry S. Truman

Harry S. Truman — CS2 Stats

US76561198013630203[U:1:53364475]Steam profile ↗✓ No bans

146Tracked matches41%Win rate2024Tracked since
152Hours in CS2Hrs last 2 wks
CSDB Rating2.5 LearningPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 6,704 +1,057 6 Feb – 23 Feb · 5 days played
5,6476,822peak 6,8226 Feb23 Feb
6,822Peak Premier in tracked matches
38Days played since 2026-01-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches2——
Win rate100%——
K/D0.67——
Headshot %29%——

Measured 13 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim22
Positioning46
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateWWLLWLWLLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.9pp headshot accuracy · −21ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 686ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 688ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 699ms

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 (+2.5 against its own average).

Aim2.2
Utility1.7
Positioning4.6
Opening Duels0.0

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

NiKo

Plays most like NiKo 69% 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

Areas to improve

Reaction time. 721ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim2.2
Positioning4.6
Utility1.7
Mechanics2.8
Opening Duels0.0
Win Impact2.1

Composite 2.5/10 (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 rating0.02+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time715ms+8ms
first ⅓ avg 707ms → last ⅓ avg 715ms
Headshot accuracy12.5%−0.6%
first ⅓ avg 13.1% → last ⅓ avg 12.5%

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

0.21Best match rating · 9–3 · inferno, 2 Jun →
25%Best headshot accuracy · 5–13 · mirage, 10 Apr →
484msFastest reaction time · 10–13 · ancient, 12 Apr →
13–1Biggest win · vertigo, 13 Feb →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
4–7In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 50% over 32infernoWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
dust2B3216–1650%0.02
mirageC218–1338%-0.01
infernoD186–1233%0.01
nukeC114–736%-0.01
cacheB84–450%-0.00
ancient—41–325%0.02
vertigo—22–0100%0.08
office—20–20%0.02
train—11–0100%0.13
italy—11–0100%0.18

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

3,279Lifetime kills
0.93K/D
235Matches
36.6%Match win rate
36.7%Headshot %
1.1%Shot accuracy
391MVPs
84Hours (in match)
309Bombs planted
38Bombs defused

Most-used weapons

Lifetime map wins

557dust2
281inferno
244office
184nuke
31italy
27vertigo
19train
8assault

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.

12.4%Headshot accuracy
30.6%Accuracy (enemy spotted)
29.9%Spray accuracy
62.7%Counter-strafing
11.1°Preaim
721msReaction time
29.1%T opening success
25.9%CT opening success
0.18Enemies flashed / flash
3.9%Flash assists
8.16HE damage / grenade
0.74Flashes / 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 12.3695% — below the 15% 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 721.2054ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.1817 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–6-0.0512%5 Oct →
nuke13–30.058%5 Oct →
nuke1–13-0.0613%2 Sept →
mirage3–90.0316%18 Jul →
cache13–10-0.038%15 Jul →
inferno11–130.028%12 Jul →
dust210–10.000%12 Jul →
inferno10–130.0121%12 Jul →
dust21–130.0512%12 Jul →
mirage8–13-0.019%7 Jul →
dust29–13-0.059%7 Jul →
mirage6–130.048%1 Jul →
ancient5–13-0.0615%1 Jul →
cache9–13-0.0714%2 Jun →
inferno9–30.2124%2 Jun →
cache10–13-0.039%15 May →
cache7–13-0.0922%11 May →
cache13–70.067%11 May →
dust27–130.145%11 May →
nuke12–12-0.0312%5 May →
cache13–110.0513%29 Apr →
cache10–13-0.0118%29 Apr →
cache13–40.1118%29 Apr →
train13–50.1316%27 Apr →
dust213–70.1223%27 Apr →
mirage13–11-0.0215%27 Apr →
inferno10–130.0417%26 Apr →
inferno2–13-0.0510%22 Apr →
dust213–10-0.010%22 Apr →
mirage13–60.0814%19 Apr →
dust211–130.0814%19 Apr →
ancient12–120.138%18 Apr →
inferno4–13-0.0414%13 Apr →
inferno8–13-0.0014%13 Apr →
mirage2–13-0.072%13 Apr →
ancient10–13-0.020%12 Apr →
dust29–130.018%12 Apr →
dust27–1-0.039%12 Apr →
nuke13–70.0817%10 Apr →
mirage5–13-0.0425%10 Apr →
inferno13–70.056%10 Apr →
dust25–13-0.0318%10 Apr →
dust213–100.1413%9 Apr →
mirage5–13-0.0420%23 Feb →
inferno13–50.1416%16 Feb →
inferno4–13-0.0211%15 Feb →
mirage7–13-0.048%15 Feb →
nuke13–80.0120%14 Feb →
dust211–13-0.0110%13 Feb →
ancient11–30.010%13 Feb →
inferno13–6-0.034%13 Feb →
vertigo13–10.1010%13 Feb →
dust29–13-0.0618%12 Feb →
inferno4–13-0.063%12 Feb →
vertigo13–100.077%12 Feb →
mirage5–13-0.0512%7 Feb →
mirage13–30.0313%7 Feb →
dust29–13-0.0415%7 Feb →
dust213–70.0323%7 Feb →
mirage13–40.024%6 Feb →
dust213–7-0.0216%6 Feb →
dust213–8-0.019%5 Feb →
mirage6–9-0.070%4 Feb →
inferno11–13-0.028%4 Feb →
nuke4–8-0.0014%4 Feb →
dust210–130.078%4 Feb →
mirage13–80.0310%3 Feb →
mirage12–120.008%3 Feb →
dust213–30.0020%3 Feb →
office5–130.038%2 Feb →
office8–130.0125%2 Feb →
inferno10–130.008%2 Feb →
mirage8–13-0.0415%2 Feb →
nuke5–13-0.0223%2 Feb →
inferno9–13-0.0016%2 Feb →
nuke1–2-0.080%2 Feb →
dust25–130.0212%2 Feb →
mirage5–130.0519%1 Feb →
dust213–110.004%1 Feb →
inferno7–13-0.027%1 Feb →
nuke8–13-0.036%1 Feb →
dust26–13-0.019%1 Feb →
dust213–20.089%1 Feb →
nuke3–13-0.0517%31 Jan →
dust211–13-0.0217%31 Jan →
mirage8–3-0.0117%31 Jan →
nuke13–6-0.026%31 Jan →
dust213–30.0518%30 Jan →
mirage13–9-0.0415%30 Jan →
dust213–6-0.0010%30 Jan →
inferno13–2-0.0520%30 Jan →
mirage13–70.0219%30 Jan →
dust21–13-0.0619%30 Jan →
dust210–13-0.0013%30 Jan →
dust213–40.0515%30 Jan →
dust213–6-0.0212%30 Jan →
mirage12–12-0.0216%29 Jan →
inferno13–40.077%29 Jan →
dust211–130.099%28 Jan →
italy13–110.1815%28 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

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