Springtrap

Springtrap — CS2 Stats

DE76561198194908185[U:1:234642457]Steam profile ↗✓ No bans

495Tracked matches39%Win rate2023Tracked since
412Hours in CS
CSDB Rating7.4 StrongPositional Player
Premier CS Rating18,070Purple band · top ~16.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (36 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,070 +1,585 12 May – 26 Sept · 19 days played
15,76919,457peak 19,45712 May26 Sept
19,457Peak Premier in tracked matches
29Days played since 2026-05-12

Premier CS Rating

  • 1,387 below peak (19,457)
  • -1,387 over 30 days · declining
  • +1,442 over 90 days
  • Next: Pink band at 20,000 — 1,930 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-22
  • Blue band first seen 2026-09-22

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate75.7%44.4%46.9%above
Shot accuracy5.6%11.9%13.0%7.4% short
Kill/death ratio1.751.031.08above
Match win rate56.1%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSpringtrapPREMIER18,070 · Purple bandcsdb.gg/stats

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Performance scores

Aim95
Positioning70
Utility57

0–100 skill scores via Leetify.

Recent form

COLD46–51–3Last 10046%Win rateLLLLLWLWLW

Last 10 vs previous 10: 0pp win rate · −0.09 avg rating · −5.1pp headshot accuracy · +66ms reaction

Win rate 0pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 597ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 586ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 27%
  • Avg reaction 553ms

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 (+2.4 against its own average).

Aim9.5
Utility5.7
Positioning7.0
Opening Duels5.8
Clutch0.0

Sharp aimerExcellent counter-strafing

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 95% playstyle similarity

Most alike: aim profile, positioning 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

Aim. Aim score of 95 — the mechanical foundation is a clear strength.

Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

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. 559ms 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

Aim9.5
Positioning7.0
Utility5.7
Mechanics9.7
Opening Duels6.7
Win Impact1.4

Composite 7.4/10 (Strong), 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 rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time552ms−36ms
first ⅓ avg 588ms → last ⅓ avg 552ms
Headshot accuracy27.5%−2.3%
first ⅓ avg 29.8% → last ⅓ avg 27.5%

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

0.20Best match rating · 11–13 · dust2, 11 Sept →
64%Best headshot accuracy · 2–13 · dust2, 20 Jul →
406msFastest reaction time · 13–8 · nuke, 28 Aug →
13–2Biggest win · fachwerk, 15 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
5–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 50% over 10ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B3817–2145%0.03
mirageB2512–1348%0.02
ancientC125–742%0.01
cacheB105–550%0.03
anubisB63–350%0.04
inferno—31–233%0.06
nuke—31–233%0.04
train—11–0100%0.15
eldorado—10–10%-0.08
fachwerk—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,149Lifetime kills
1.75K/D · Top 5% of Purple band
1,160Matches
56.1%Match win rate · Top 5% of Purple band
75.7%Headshot % · Top 1% of Purple band
5.6%Shot accuracy
3,888MVPs
412Hours (in match)
1,033Bombs planted
270Bombs defused

Most-used weapons

Lifetime map wins

4,105dust2
1,172inferno
447vertigo
331nuke
305train
49cbble
19italy
13office

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

Faceit stats

Combat

8Matches
88%Win rate
1.54Avg K/D
96.2ADR
72%Headshot %

Clutches & streaks

0%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage580%1.7420.8
Dust21100%0.8121.0
Inferno1100%2.2527.0
Nuke1100%0.5910.0

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.

27.6%Headshot accuracy
41.1%Accuracy (enemy spotted)
41.7%Spray accuracy
93.4%Counter-strafing
8.3°Preaim
559msReaction time
53.3%T opening success
60.6%CT opening success
0.61Enemies flashed / flash
9.1%Flash assists
11.01HE damage / grenade
7.12Flashes / match

Recommended for you

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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–130.0324%26 Sept →
mirage11–130.0434%26 Sept →
cache7–130.0035%26 Sept →
dust26–13-0.0312%26 Sept →
mirage4–13-0.1014%19 Sept →
ancient13–90.0116%19 Sept →
dust22–130.0212%19 Sept →
dust213–110.0726%19 Sept →
dust27–130.0137%16 Sept →
dust213–100.0237%16 Sept →
anubis6–20.1252%16 Sept →
mirage10–130.0532%16 Sept →
mirage13–80.0922%16 Sept →
dust212–120.0929%11 Sept →
dust27–130.1930%11 Sept →
train13–40.1518%11 Sept →
dust211–130.2030%11 Sept →
eldorado1–9-0.0825%11 Sept →
ancient7–130.0935%10 Sept →
inferno7–130.0822%10 Sept →
inferno4–130.0826%10 Sept →
mirage13–40.0333%10 Sept →
dust211–130.0823%10 Sept →
inferno13–30.0218%10 Sept →
dust27–130.0739%10 Sept →
dust212–120.0235%10 Sept →
dust24–13-0.0431%10 Sept →
nuke13–8-0.0814%28 Aug →
dust213–90.0033%26 Aug →
ancient10–130.0431%26 Aug →
dust213–90.0629%26 Aug →
mirage6–13-0.0914%7 Aug →
mirage13–100.0936%7 Aug →
dust28–13-0.0129%6 Aug →
cache10–13-0.0024%6 Aug →
ancient13–10-0.0424%5 Aug →
dust213–90.0033%29 Jul →
anubis13–40.0629%29 Jul →
cache13–70.0329%29 Jul →
mirage9–13-0.0233%29 Jul →
dust22–00.0250%29 Jul →
mirage3–13-0.0233%29 Jul →
anubis9–130.0424%24 Jul →
mirage10–130.0828%24 Jul →
dust24–13-0.0329%24 Jul →
nuke10–130.0626%23 Jul →
dust213–90.0620%23 Jul →
ancient7–130.0723%23 Jul →
dust22–13-0.0564%20 Jul →
dust213–100.0424%20 Jul →
mirage13–60.0421%20 Jul →
anubis13–30.0622%20 Jul →
cache10–13-0.0118%19 Jul →
ancient7–130.0528%19 Jul →
cache9–130.0128%19 Jul →
ancient13–80.0130%16 Jul →
ancient2–5-0.0255%16 Jul →
cache15–15-0.0525%16 Jul →
dust26–13-0.0525%16 Jul →
cache13–100.0729%16 Jul →
dust213–70.0926%16 Jul →
anubis14–160.0229%16 Jul →
mirage13–30.0231%16 Jul →
dust24–130.0038%16 Jul →
mirage14–160.0429%15 Jul →
dust213–90.0925%15 Jul →
cache13–90.0430%15 Jul →
cache13–40.1539%15 Jul →
dust27–13-0.0838%15 Jul →
dust28–13-0.0039%15 Jul →
dust211–13-0.0230%15 Jul →
mirage0–13-0.060%15 Jul →
cache13–100.0729%15 Jul →
fachwerk13–20.0119%15 Jul →
mirage13–110.0530%12 Jul →
ancient13–7-0.0027%12 Jul →
dust212–160.0535%10 Jul →
dust213–90.0436%10 Jul →
dust210–13-0.0333%10 Jul →
mirage13–90.0437%10 Jul →
dust213–4-0.0328%9 Jul →
ancient10–13-0.0223%6 Jul →
nuke8–130.1435%6 Jul →
dust213–60.0223%6 Jul →
mirage13–6-0.0020%6 Jul →
mirage13–50.1440%25 Jun →
mirage9–130.0945%25 Jun →
dust213–100.1134%5 Jun →
anubis14–16-0.0527%5 Jun →
dust213–70.0219%28 May →
dust210–130.0237%28 May →
mirage6–3-0.0143%17 May →
mirage6–13-0.0427%17 May →
dust213–70.1135%17 May →
ancient13–6-0.0514%17 May →
dust213–11-0.0429%16 May →
mirage13–11-0.0524%16 May →
mirage13–160.0431%15 May →
mirage10–130.0235%13 May →
mirage13–40.0723%12 May →

Match data via Leetify.

Recent teammates

Milestones

100 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.